Introduction to Data Analytics in Google Cloud | Google Cloud Data Analytics Certificate

Key Takeaways

[Music] there's something happening right now everywhere in the world that's changing all of our lives in every way it's cloud computing how can cloud computing make that much change by connecting us people with data quickly easily and anywhere at any time it affects how we communicate work shop plan and even how we relax and have fun the cloud is changing people's lives and it's also completely reshaping and improving business these days data is the Cornerstone of all kinds of organizations they depend on Non-Stop information about sales transactions consumer feedback inventory and purchase orders customer service interactions market research statistics and so much more uninterrupted access to business data is a must for organizations which creates another must people who can assess that data and put it to work and this is why the demand for cloud data analytics professionals keeps growing and growing we need people like you to help organizations understand their customers collaborate with Partners strategize for the future mitigate risk and become more flexible and resilient the content in this program will equip you with the knowledge and skills required of entrylevel roles in the field of cloud data analytics hi I'm Joey here at Google I am an analytics manager this means that I lead a team of of business analysts whose job is to provide data-backed insights to inform key business decisions I'm so happy to welcome you to the program I'm your course one instructor and I'll be by your side the whole way through this course I grew up in a single parent household in the Los Angeles area with strong roots in my Mexican-American Heritage living in a big diverse complicated City like La while challenging at times definitely instilled in me a passion for connecting with diverse groups and helped me build interpersonal skills that have been super valuable in life and in my career my career path wasn't linear or planned but through an internship and an early career rotational program I discovered a passion for data analytics and specifically using data to help people make better decisions or gain knowledge they wouldn't otherwise have as an analyst I want to show folks that data is for everyone and make technical work less intimidating and more approachable to all the program is divided into courses based on different cloud data analytics processes the course topics include an introduction to cloud computing in data analytics cloud storage and data management data processing and Analysis in the cloud and visualization of data in the cloud I encourage you to complete the courses in order as each topic Builds on what you've learned before the final course is the Capstone it's a great opportunity to demonstrate the Knowledge and Skills you gain throughout your academic Journey we've got videos and readings to teach you cloud data analytics Concepts and skills then interactive activities and Labs will let you practice those Concepts and skills you can take the labs more than once so if you hit some trouble spots just keep at it you'll also have quizzes to confirm your understanding and glossies to help you prepare to do your very best and career resources including resum and interview prep will help you prepare to apply for jobs and impress hiring managers you'll hear from googlers like me working in cloud computing we'll give you an inside perspective at what it's like in our industry and share personal stories of how we got into the field some of these googlers are going to join me in guiding you through the courses let's take a second to meet them now hello I'm Eric and I'm a product Analyst at Google in course 2 you'll explore how data is structured and organized you'll gain a experience with data Lakehouse architecture and Cloud components like big query Google cloud storage and data proc to efficiently store and analyze and process large data sets next you'll meet my colleague Alex hey there I'm Alex and I'm a data analytics customer engineer I'm really looking forward to spending time with you as you learn all about the data Journey from collection to insights you'll explore data transformation and practice strategies to transform real data sets to to solve business needs hi I'm CJ and I work in data analytics here at Google I'll guide you through the key stages of visualizing data in the cloud storytelling planning exploring data designing visualizations and collaborating with data you'll use looker to create data visualizations and build dashboards I'm Christine your course 5 instructor together we'll put everything you learn from across courses 1 through 4 into action in a caps project and you'll create impressive work examples to share with future employers all of us are thrilled to introduce you to the fascinating and rewarding field of cloud data analytics so let's get you started on your Cloud Journey not too long ago when a company stored data or ran programs it needed a huge room filled with a bunch of gigantic noisy computers humming away right there in the office but in the 1960s a group of Engineers asks what if we share computing power among many users so not everyone needs their own computer fast forward a few decades and here we are with remote data centers ready to store our data run our apps help us with analysis and so much more in this course you'll start your journey into the world of cloud computing and gain the fundamental knowledge you need to be successful in the field whether you're a cloud newcomer or seeking to level up your Cloud skills you've come to the right place this course will provide you with a solid foundation in key Concepts skills and tools used for data analysis with Google Cloud I started my career as a philosophy graduate with no professional experience unsure of how my education would translate into a job but after being exposed to a few different roles at Google I found a passion for data analysis and Engineering where a lot of entry-level tasks were like many logic puzzles that I was paid to solve I looked forward to the technical challenges that the role offered which provided the building blocks for my current career path I first learned to write SQL in my role as an HR Analyst at Google one of my first responsibilities was as a primary responder on our team's ticket queue each day we'd receive requests from internal business partners to produce data reports usually in the form of big spreadsheets with custom logic based on real business questions and problems I really enjoyed the process of fulfilling these requests starting with transforming the business requests into an analytics problem using SQL to mold the data into an answer and providing a data set that was understandable and approachable to our non-technical users it felt great to offer a service to our users and give them information that they couldn't otherwise obtain it was fun as more organizations adopt cloud-based Solutions there's a growing need for skilled Cloud professionals to help them make the transformation to get you on your way I'll introduce you to the program let you know what to expect moving forward and share some great tips for successfully completing the certificate you'll learn how to define cloud computing identify its components and differentiate between cloud and traditional Computing you'll explore cloud data analysis compared to on premises physical data analysis and you'll learn about the impact of cloud data analytics on all kinds of businesses with a special focus on the Google Cloud architecture framework then you'll discover the inner workings of data management and the data life cycle and the cloud data analyst role in keeping both running smoothly you'll also explore how Cloud professionals collaborate to create some really cool business projects together finally you'll discover key tools in the cloud data analyst toolbox and learn about the importance of Process Management in cloud computing as you progress you'll be introduced to Google cloud-based tools including big query and data proc and after completing this course you'll know about cloud data tools and be able to understand and communicate Cloud benefits share timely insights and so much more I'm so excited to be part of your cloud data analytics EXP exploration and I'm here to guide you every step of the way let's keep the momentum going and head on over to the next topic hey there coming up we have many exciting things to discover about the cloud here's a quick breakdown first we'll check out the basics of cloud data analytics you'll learn about its history and explore the many benefits of cloud computing after that you'll consider the differences between cloud computing and traditional Computing this includes their Network infrastructures def characteristics and advantages and limitations next you'll tap into the program resources so you can make a plan to be successful and career ready to wrap up peruse the glossery with key terms and definitions meet you again soon my name is Ben and I'm the senior vice president of learning and sustainability at Google that always been interested in learning because for me my mom my mother was a school teacher and I felt that um learning is really what enables people to reach a different point than they otherwise would uh I know it enabled me to go to a place I could not have dreamt of being were it not for the education I got and I think that's incredibly uh important for people to have access to that kind of opportunity and growing up in India I did have access to a good school I did not come from wealthy family but had access to a good school and I saw the difference that made in my life and I think today today with the help of Technology we can hopefully bring more of that opportunity to more people in the world the cloud is really important because it's a trajectory of where computation is going if you think about all of the major uh products that you use almost all of them are now based in some uh online Cloud uh Data Center and they have access to all these amazing Computing resources and they enable you to these these services to really provide amazing things for their users so starting Cloud technology enables you to participate in that whole economy of jobs and of opportunities that consist of building these powerful facilities in the cloud that are being used by people around the world one of the really interesting ways in which education is evolving is allowing people to build and learn individual skills through various Skilling courses many aspects of Education are not available to everybody everywhere unfortunately but it's possible to build the basic skills that one could get that one needs from an education more peace meal today and I think the approach of Skilling can allow people to build up the pieces of the education that they really need in the way that they have access to in a way that they have time for in a way that they have the resources for the initial parts of learning anything are learning the basics and the fundamentals whether it is a sport or a or or or a physical skill like carpentry whatever the first steps are learning the basics so persevere with it and it'll get really interesting I've been working with computers for what is it now over 30 35 years and it is still fascinating every day hello Cloud enthusiasts get ready to learn exactly what cloud computing is all about including how it works the components of a cloud infrastructure and different cloud service models so first up what exactly is cloud computing cloud computing is the practice of using OnDemand Computing resources as Services hosted over the Internet over the Internet is what makes up the cloud part it eliminates the need for organizations to find set up or manage resources themselves and they only pay for what they use cloud computing uses a network to connect users to a cloud platform this is a virtual space where they can access and borrow Computing Services a primary computer handles all communication between devices and servers to share information and there are privacy and security measures to keep everything safe here's another way to think about it picture cloud computing like a shared kitchen in a rental apartment owned by a property management company or in the case of the cloud a third-party service host the kitchen has many appliances and cooking tools just as the cloud platform has servers storage hardware and software so when someone in the apartment gets hungry they just go ahead and cook a meal in the well equipped kitchen they don't each have to buy their own Wooden Spoons or toaster oven likewise the cloud enables organizations to access Computing resources on demand without spending time and money buying and maintaining their own storage hardware and software it's the unique infrastructure of a cloud computing model that makes all of this possible this infrastructure has four main components Hardware storage Network and virtualization let's check out Hardware first types of Hardware include servers processors and memory Network switches routers and cables firewalls and load balancers cooling systems and power supplies these are the physical items needed to keep things running now data storage in a cloud computing infrastructure can occur in three main ways file object or block file storage keeps data in one place and organizes it in a simple easy to understand way through a hierarchy of files and folders this is the oldest and most widely used data storage system but it's a bit cumbersome and can only accomplish so much next object storage holds unstructured data along with its metadata metadata is just data about data for example a picture taken with a smartphone might contain information about about the location the date and the type of device that captured the image this is really useful for understanding the photo just as metadata explains what its own data is all about lastly block storage divides large volumes of data into smaller pieces optimally organized with unique labels an advantage of block storage is that the data is easily accessible but it can be expensive and has limited capability to handle metadata all right now we have the network after all cloud computing infrastructure needs a way to connect its back-end resources and this connection is made possible through a network of the physical Hardware through this network users tap into Cloud resources using some of the hardware mentioned earlier including routers and firewalls basically the physical network setup is what enables the virtual one to operate finally there is virtualization which is a technology that creates a virtual version of physical infrastructure like servers storage and networks this is what lets the service work without a connection here at Google we have many data centers a data center is a physical building that contains servers computer systems and Associated components these facilities provide a centralized location for vast amounts of data and skilled Cloud analysts access this valuable information right through the cloud for all sorts of business tasks and projects Cloud analysts select and extract relevant data then prepare it for processing and examination they know how to expertly analyze visualize and share data discoveries to uncover valuable insights and make smart business decisions so it's really important to know that there are three primary models to choose from each offers a different level of flexibility and control these these models are infrastructure as a service or IAS platform as a service paas and software as a service saas first IAS is a cloud computing model that offers on demand access to information technology or it infrastructure services including Hardware storage Network and virtualization tools with IAS a ser service provider hosts maintains and updates the infrastructure your organization would manage everything else your operating system your data and your applications an IAS model provides the highest level of control over your it resources and works a lot like traditional on premises it an example of an IAS model is cloud storage like emails you've sorted into an online folder here's another example when someone leases a car it's like they're borrowing it for a while having fun driving it around but they have to give it back when the lease agreement is up well IAS is kind of like that a user picks the infrastructure they want uses it for the contracted period but they do not own it next paas provides hardware and software tools to create an environment for the development of cloud applications simplifying the application development process paa s is all about helping users build apps so your organization would enjoy being able to fully focus on app development without the burden of managing and maintaining the underlying infrastructure your developers would create test troubleshoot launch host and maintain your app all on the platform paas is like hopping into a taxi and telling the driver where to take you you're not behind the wheel but you trust the driver to get you to to where you need to be lastly saas provides users with the licensed subscription to a complete software package this includes the infrastructure maintenance and updates and the application itself other users also have access to use the same services using SAS you just connect to the app through the internet think of SAS like riding the bus you pick your stop from routes that are set already and you share the bus ride with other people remember remember that these examples are meant to demonstrate the level of individual customization in I AAS P AAS and saas they do not refer to any actual Hardware or software details woo we've covered a lot about cloud computing infrastructure and service models I think we've earned ourselves a study snack I'm going to go cook something up in my cloud kitchen catch you later I love today's module because I get to do one of my most favorite things nerd out about the cloud I'm a huge fan but I also know that as a cloud data professional my enthusiasm level may come on a little strong for folks who don't have a cloud computing background that's why it's important to really understand the cloud and its many advantages so that you can explain it clearly to others in a way that is easy to understand and hopefully exciting let's first learn about accessibility one of the big advant ages of a cloud computing model is that organizations can access and manage data software storage and Cloud infrastructure from any location at any time through the internet they don't need to be physically present where the hardware and software are installed and they don't need their cloud service providers assistance when they need more data next is scalability which means to easily expand or upgrade Computing resources to meet changing needs scalability eliminates physical Computing limit limitations now the benefit of cost savings is pretty straightforward organizations only pay for the Computing resources used in a cloud computing model organizations get what's called a measured service similar to household utilities like electricity and water users are charged only for what they use based on the number of transactions the storage volume and the amount of data transferred this helps make all kinds of business initiatives more profitable and sustainable able the advantage of security is also pretty straightforward with cloud computing an organization's systems data and Computing resources are protected from theft damage loss and unauthorized use cloud computing security is generally recognized as stronger than the security of a traditional Network infrastructure this is because data is located in data centers that few people have access to plus the information stored on cloud servers is encrypted meaning it's not something that easily broken into okay moving on to efficiency there's a lot that's efficient about cloud computing but one of the main advantages is that organizations can provide immediate access to new and upgraded applications there's no time wasted worrying about the state of network infrastructure or going through a costly or timec consuming implementation process there are tons of amazing things about the cloud and now we've come to freeing resources so users can focus on more value added tasks in the cloud field re refer to this as manage services a managed service involves a third-party provider taking care of the ongoing maintenance management and support of an organization's Cloud infrastructure and applications this in turn gives users lots more time to focus on other work it's like a mechanic who automatically comes to you for annual inspections and services rather than you spending many hours in a mechanic shop waiting for services that's because all of the ongoing maintenance and management from the cloud happens automatically in the background a user doesn't have to initiate it because cloud computing is super versatile it offers a wide range of common uses including Disaster Recovery data storage and large-scale data analysis that provides users with significant benefits Let's Start With Disaster Recovery using cloud computing in Disaster Recovery means having having access to more data centers to ensure that data and information is safe and secure during an emergency the next benefit is data storage data storage helps streamline data centers by storing large volumes of data which enables easier access to the data analysis of the data and backup of the data then we have largescale data analysis largescale analysis offers easy and quick access to multiple data sources and intuitive user interfaces to query and explore exp the data this speeds up the overall process of discovering datadriven insights isn't cloud computing amazing users can say goodbye to the limitations of traditional data storage and Computing methods and enjoy the world of advantages that it offers and data analysts can help users seize these advantages with expert cloud data analysis skills when cloud computing was first introduced many people resisted the idea of losing physical control over important files cherished photos and all sorts of other data people were used to keeping these things close by under their own roofs so let's use those cherished photos as an example putting a photo in an album that you keep on your bookshelf does offer control convenience and security to a certain extent control can be limited by resources you need money materials and time to print out a photo or purchase a frame or album you can also only fit so many physical items in your space as far as security goes well that physical momental could be damaged now let's think about how we can enjoy that photo if it's in the cloud you can view and share it anytime anywhere and if you still want a physical copy you can make one and feel comfortable knowing that you have backup just in case choosing between traditional and cloud computing is also a trade-off both have advantages and limitations and both both can have a place in business depending on what the priorities are in this video you'll learn about traditional Computing how it works and its defining characteristics you'll then compare traditional and cloud computing which will be valuable to know in the role as a cloud data analyst so what's traditional Computing traditional Computing is a Computing model that enables data storage access and management through the use of physical hardware and software within a network infrastructure typically located on premises here's how that all comes together first Hardware is set up in a dedicated space or room by it professionals next the required software operating systems applications and security tools are purchased and installed once the hardware and software operational IT personnel are responsible for maintaining and managing the entire system this infrastructure gives an organization sole control and access to its data and equipment so with traditional Computing everything you need is located in one location on premises and can't be accessed anywhere else this defining characteristic offers four key advantages control security compliance and no Reliance on the internet let's explore each of these first with traditional Computing organizations have full control over their Hardware software and data they can customize their localized Network infrastructure to meet their specific needs and because of this control users usually feel more confident about the second Advantage Security if properly maintained this is because they have sole access to their systems and sensitive information third traditional Computing might be the only viable option if a business is in an industry that requires data to be stored on premises this is an example of compliance which means that a company must follow certain regulations rules and laws in this case ones that deal with data security lastly traditional Computing does not rely on an internet connection when users want to access the network or the data it contains so important information can be accessed even if internet service goes down but just as with our photo album example Le there are some downsides first with the traditional Computing system data access is limited to the device and location where the hardware and software are installed also scaling up in a traditional Computing model is challenging software limitations the time needed to purchase and set up hardware and the physical space required make it difficult to scale and expensive besides scaling up expenses traditional Computing involves buying Hardware and software plus ongoing maintenance of network infrastructure lastly traditional Computing can be inefficient as each user software must be purchased rather than shared and again this software is not automatically updated these are just some of the reasons why many organizations are moving to the cloud for their Computing needs the cloud is more accessible scalable and offers tons of savings it's also super secure efficient and freeze up staff to work on more projects it's Picture Perfect get it thanks for joining me as we venture into the wide world of cloud data warehousing there's so much data out there it's truly dizzzy so it's no surprise that businesses have struggled to figure out where to keep it all the fact is traditional databases struggled to keep up with the evolving demands of data analytics luckily cloud data warehouses are emerging to fill the need how do they do it well that's what we're going to learn about in this video first a cloud data warehouse is a large-scale data storage solution hosted on remote servers by a cloud service provider to understand this better picture it like a huge Warehouse where large amounts of different types of containers from various places are stored the cloud data warehouse can collect store integrate and analyze data there are many advantages to this structure cloud data warehouses are typically fully managed by the cloud provider this means that the cloud provider takes care of various operational tasks and maintenance allowing users to focus on utilizing the data and Gathering insights rather than handling the underlying infrastructure this saves time money and resources cloud data warehouses also have more uptime compared to on premises data warehouses uptime is the amount of time a machine is operational and of course only working computers have the ability to scale and support increased demands for data next Cloud warehouses can integrate separated data by gathering data from various structured sources within an organization like Sales Systems email lists and websites and pulling it all into one place this integrated data then can be analyzed for some pretty exciting and useful business insights another big Advantage is that cloud data warehouses provide real-time analytics ensuring users have quick access to the latest information and in business being fast is usually the key to outperforming the competition cloud data warehouses also offer some really cool artificial intelligence or Ai and machine learning or ml capabilities and when you apply Ai and ml to your data analysis this really Powers up the possibilities my team worked on a recent project where we built a predictive model to help Google anticipate demand for office amenities such as its cafes and help save money and reduce waste using ml tools we were able to test over 30 factors across months and months of data and build a model that could forecast Demand with enough accuracy and time to allow on the ground teams to adjust accordingly pretty cool right last but not least cloud data warehouses enable custom reporting and Analysis this means that users can analyze and generate reports specifically from historical data because it is stored on a separate server from data related to current business transactions and day-to-day operations as you've probably figured out the types and amounts of data that companies need to organize are only growing which means so is the demand for data storage luckily cloud data warehouses are up for the challenge with the added benefits of management and Analysis to make it even easier to use the data you have okay data enthusiasts now that we know what cloud-based data warehouses are we should probably figure out which one suits our needs and I've got a great one to introduce to you meet bigquery Google's Powerhouse of storage and Analysis an organization's data is vital to its business success and data warehousing helps make the most to that data by providing quick and easy access to information which leads to ideas insights and best of all datadriven decision making big query is a data warehouse on Google Cloud that helps users store and analyze data right within big query they can query data filter large data sets aggregate results and perform some really complex operations big query works with SQL or structured query l language this is a computer programming language used to communicate with the database it allows users to search through massive amounts of data and find information they are searching for incredibly quickly using Google infrastructure as a cloud data analyst big query's integrated SQL interface and machine learning capabilities will help you discover Implement and manage data tools to inform critical business decisions the output of your work in bigquery can integrate with typical business intelligence tools or spreadsheets but there's a lot more to explore another feature is bigquery's ability to easily migrate existing data warehouses from other cloud service providers this is a huge timesaver one of my favorite things about big query is its dry run parameter this lets you check your query thought process and plan before actually running it and big query would tell you the number of bytes the query will run so you can estimate the cost before actually queering the database it's like a practice swing engulf to help you make sure your ball goes in the hole you can also use big query to store explore and run queries on data gathered from server sensors and other devices in scheduled queries can be used to automatically refresh data and keep tables up to date data can be updated hourly daily or weekly so you'll deliver the most dynamic timely metrics to your stakeholders on my team we use big query almost daily to query transform and report on data using big query we're able to tap into a multitude of data sources which allow us to support our users with the most relevant insights we use SQL to join data sets and transform the data creating tables and charts that provide answers and when we land on an answer that can be useful in the future we scale it building self-service reports and dashboards that allow users to retrieve the same answer over and over again in a timely manner for my team big query helps us create a bridge between the data that exists and the problems folks are trying to solve or questions they're trying to answer with its smooth integration with other tools userfriendly interface and the use of SQL for Effective programming big query makes a discovery of valuable information within complex data sets simple and productive it's an essential part of the cloud data analyst toolbox there's tons to explore so have some big fun getting to know big query this will be an invaluable tool for your Cloud career it's been a blast introducing you to the field of cloud data analytics you've learned that cloud computing is an advanced and Powerful Computing model that resolves many limitations of traditional Computing it also addresses evolving data Computing needs of people and businesses all across the globe cloud computing provides on demand availability of computing resources as Services over the Internet which offers accessibility scalability cost savings security and efficiency and it frees up your time and resources so you and your colleagues can focus on the kinds of tasks that bring more value to your team and organization you began this course with an introduction to cloud computing you then learned about its history current defining characteristics and the advantages of using a cloud computing model next you examine the differences between cloud computing and traditional Computing like a physical Network infrastructure and traditional Computing versus a cloud Network infrastructure in cloud computing you've got this and remember to celebrate your hard work in a favorite way a yummy snack a comfort show or a touchdown [Applause] celebration hi there welcome to the next section where you'll continue learning about data analytics in the cloud in in this section you'll explore migrating data to the cloud from on premises systems and together we'll get into the differences between on premises hybrid and cloud data system architectures you'll also learn a lot about the Google Cloud architecture framework throughout you'll witness Cloud's impact on data analytics and many other Industries and you'll check out strategies for cloud cost optimization and its benefits for users you'll also explore the cost of storage running queries and resource provisioning along with the different billing models this information will help guide your future employer towards the most costeffective Cloud solution for their particular needs meet you in the next video anyone who's been through a move knows that it's a lot of work there's emptying shelves sorting items for packing or donation carefully boxing everything up loading the boxes into a moving van and then you have to unpack and get everything organized in its proper place once you get to the new place an organization migrating its physical Computing infrastructure to the cloud also requires careful planning and a great amount of effort to ensure a successful move fortunately third-party cloud service providers like Google Cloud can help make everything easier in this video we'll discuss the process of migrating an on-premises Computing Network infrastructure to a cloud platform you'll learn the steps to follow cloud data migration strategies and important factors to consider during migration all right the first step is to think about some key factors these include choosing the right Cloud environment for your organization then think about how much data will be transferred to the cloud this is important because large amounts of data can take a long time to move which can delay operations next consider how much downtime your organization can deal with during migration obviously no business wants to shut down their systems any longer than necessary so this decision should be agreed on by all stakeholders the next step is to choose your migration strategy options include rehosting also called lift and shift re-platforming repurchasing refactoring or retiring let's break those down rehosting is a cloud migration strategy that involves moving an entire on premises system to the cloud without changing anything else about the system an exact copy of the current setup is created in the cloud which helps the organization quickly achieve a return on investment as they use the enhanced efficiency of their operations the robust and reliable nature of the cloud infrastructure and the Innovative Technologies that are built into cloudbased Solutions rep platforming is a cloud migration strategy that involves making small changes to the on-premises system once it's migrated to the cloud so the main structure of the system's applications remain the same but a few things are improved for better performance repurchasing is a cloud migration strategy that involves moving applications to a new cloud-based service platform usually a software as service platform the cloud service will be an allnew experience so this requires some team member training refactoring is a cloud migration strategy that involves building allnew applications from scratch and discarding old applications this is ideal when organizations need new features like serverless Compu in that their current systems don't have retiring occurs when applications that are no longer useful are turned off the next step in the migration process is choosing your migration partner as a cloud professional you'll want to help your organization find a cloud service provider that offers the right infrastructure for your particular business that offers valuable services and tools and that invests in development to keep things fresh it's also important to examine the provider's customer support and service level agreement or SLA so you get reliable impr prompt support obviously I'm a big fan of what we do here at Google especially how we help our partners prepare for cloud migration success we've got something called the Google Cloud adoption framework which helps users assess their organization's Readiness to adopt Cloud Technologies this framework acts like a map from current capabilities to their ideal Cloud destination the Google Cloud adoption framework evaluates four themes first learn refers to the quality and scale of an organization's learning programs lead describes the level of support from leadership given to an organization's it department when migrating to Google Cloud scale is the extent to which an organization uses cloud-based services and how much automation they need to manage their system and secure ensures an organization's ability to protect their Cloud environment from unauthorized and inappropriate access Google Cloud provides a migration path that also has four phases assess plan deploy and optimize in the assess phase users perform a thorough review of their existing Network infrastructure then in the plan phase users set up a basic Cloud infrastructure on Google Cloud where their workloads will exist when it's time to deploy the workloads are actually moved to Google Cloud lastly the optimized phase is when organizations begin using cloud-based Tech Technologies and features and this is where they start to really enjoy the improved accessibility scalability cost savings security and efficiency like any move Cloud migration requires careful planning as a cloud data analytics professional the ability to help your organization follow the steps in this video will help ensure everything gets to where it needs to be so you can enjoy your beautiful new place in the cloud welcome to this intro to Cloud deployment models we're going to explore how to advise any organization in choosing the right environment for their unique business needs there are three primary models public clouds private clouds and hybrid clouds as a cloud data analytics professional it will be important to understand how each works then you can help your organization select a model that's flexible adaptable and helps users quickly respond and adjust to changing conditions first up a public cloud is a cloud model that delivers Computing storage and network resources through the internet in this model these resources are shared among multiple users and organizations granting them on demand access and utilization public cloud services are overseen and maintained by third-party cloud service providers who not only manage the infrastructure but also operate their own data centers next a private cloud is a cloud model that dedicates all Cloud resources to a single user or organization and is created manage and own within on premises data centers finally hybrid clouds are a combination of the public and private models they enable organizations to enjoy both cloud services and the control features of on premises Cloud models think of these three Cloud models as different ways to heat a building public clouds are like an electricity company that delivers the power use use to generate heat you can choose to turn it up when you're chilly or turn it off when it's warm outside you only pay for the power used and as a customer you don't need to worry about the maintenance of the power lines and generators private clouds are like having your own solar panels to generate power and heat you need to buy the panels have a place to install them and you're responsible for their proper care and maintenance in hybrid clouds are like using the services of an electricity company but also owning and using solar panels this gives you more options over how heat is delivered when the temperatures drop you can choose when the power company is right to use and when solar panels are the better option okay now let's discuss the advantages and disadvantages of each model with public clouds you pick and choose the resources you need and pay only for what you use public clouds can easily scale up or down based on demand and there are no maintenance worries because the cloud service provider handles all of that for you another key Advantage is reliability public clouds have vast networks of servers and can quickly redirect resources in an emergency speed and ease of deployment are also benefits of a public Cloud Model adoption occurs faster and more simply because the cloud infrastructure is already in place lastly public clouds offer new services and frequent updates that enable users to benefit from the latest Innovations like artificial intelligence and machine learning or AI and ml now private clouds come with higher maintenance and management costs but offer a few critical advantages the first is that as the name suggests they offer private and secure networks if protected properly without proper security measures put in place it can be vulnerable to hackers second private clouds help with any required regulations and compliance because you control where your data is stored and where Computing takes place private clouds also provide consistent performance because Hardware isn't shared among other organizations going hybrid can be a bit tricky as blending public and private models adds complexity but there are some key benefits a hybrid Cloud Model allows you to add a public cloud provider to your existing on premises infrastructure which increases cloud computing power without adding data center expenses a hybrid Cloud Model also gives you access to the latest Innovations like Ai and ml which can really be business game changers because you choose where your applications sit and where Computing happens there are key security and compliance advantages likewise hybrid Computing occurs closer to the actual users so it enables faster performance there's also greater flexibility because you can choose whichever Cloud environment is best for the specific task at hand whether your organization is best suited to a public private or hybrid Cloud Model your guidance will help choose a great option all three offer some really cool ways to advance any organization's computing power keeping track of business data used to be incredibly labor intensive from handwritten ledgers to complex filing systems to typing facts and figures into a spreadsheet collecting cleaning organizing and storing information was a huge and resource heavy task but cloud data analytics has automated and enhanced these processes making data management much more efficient and less prone to human error in this video we'll dive into how the cloud enables data from a variety of sources to be smoothly integrated creating a single source that users can access and analyze in real time first cloud data can be managed with data integration or data ingestion data integration combines data from different sources into a single usable data source this integration can happen through the ETL process or extract transform in load or the elt process extract load and transform ETL and elt are cloud-based approaches that use the power of cloud data warehouses like Google big query to transform data ETL transforms the data before it's loaded into the warehouse and elt transforms it after but either way it's ready for further process ing or analysis data ingestion obtains Imports and processes data for later use or storage the information is obtained from various sources and processed through stream or batch ingestion stream ingestion involves realtime continuous processing of data as soon as it is collected from various sources batch ingestion processes data in predefined intervals or larger chunks those are just a few of the ways cloud data analy itics has transformed how organizations access their data there are also web interfaces application programming interfaces or apis SQL other ingestion tools like Pub sub and business intelligence Solutions like looker and Jupiter notebooks all of these help users Access Data that's stored in the cloud anywhere anytime and while we're discussing data in the cloud cloud data analytics also makes it possible to store different types of data like files objects or blocks file data is information that's stored in a file on your computer or another storage device object data is a piece of information with a unique identifier which you can find no matter where it's stored and block data is a piece of information that has been cut from a larger piece of information and given its own file path so many data analysis activities have greatly benefited from cloud data analytics processes big Big Data analysis the ability for visualization of multiple data sources asynchronously Ai and ml custom report analysis data mining data science the list goes on and on in today's world Innovation is the driving force for many companies and there's no doubt that data fuels these Innovations it's really amazing how much Cloud analytics has advanced the field of data analytics making powerful analytical tools and processes available to organizations of all kinds at the same time it enhances the analytics process making it easier faster and more cost effective for users to discover valuable insights from data hello future Cloud Pro thanks for being with me for this rundown on the key features affecting Cloud costs resource provisioning storage and running queries let's start with an example say you're headed to the market so you create a shopping list you think about what you'll need in the coming week then write down exactly those items the list helps ensure you don't overspend on items you don't need or that might go bad later well managing the cost of cloud data analytics is kind of like that the key is to be a super Savvy Shopper knowing exactly what resources you need and how much this saves money and prevents waste the first method Cloud professionals use to achieve these goals is resource provisioning this this is the process of a user selecting appropriate software and Hardware resources and the cloud service provider setting them up and managing them while in use the resource provisioning process occurs through one of three delivery models Advanced provisioning Dynamic provisioning and self-provisioning each delivery model is different based on the types of resources an organization buys how and when it receives these resources and how it pays for them in advaned provisioning the user signs a formal agreement with the cloud service provider and either pays a set price or is build monthly then the provider gathers the agreed upon resources and delivers them to the user in Dynamic provisioning resources are adjusted based on the user's changing needs and their only charge for what they use this means they can easily scale up or down based on usage demands with self-provisioning also known as Cloud self-service the user purchase resources from the cloud provider through a website or online portal and then the resources are quickly made available for the user usually within hours or even minutes although users only pay for the resources they use how they choose to receive these resources affects how much they pay payment can be arranged with one of three rates fixed pay as you go or instant purchase now let's move to storage costs storage is ranked as one of the top three Cloud expenses for many organizations and the demand for more storage capacity only continues to grow storage costs vary Based on data storage data processing and network use as the term suggests data storage is the amount of data kept in storage in the cloud profession we refer to these as buckets exactly how much an organization pays for the storage can actually change based on where those buckets are located in the world and the type or class of the data being stored for example coldline storage data is great for data you read or change once a quarter but archive storage data keeps data that is only meant for backup or archiving purposes and it's the cheapest form of data storage now data processing is the step where raw data is cleaned organized and changed into a format for easy analysis data processing can significantly affect storage cos