Design a data warehouse
Build a data warehouse using Apache Hive over apache Hadoop
Query a data warehouse for specific records
By the end of this project, you will create your own data warehouse by using a star schema modeling technique that holds baseball raw data gathered from multiple baseball leagues in the States. During the course of this project, you will be using Apache Hadoop and Apache Hive as the main tools to build your very own Data Warehouse using HQL as the querying language, which is very similar to SQL. The learner will be introduced to the star schema modeling technique, database creation and handling, data insertion, and data storage using two different methods in Apache Hadoop. Data Warehouses are viewed as the core of any application, as any further step that requires dealing with the data stored such as Data Analytics, building a recommendation system, or applying any sort of Machine Learning will inevitably point out to the start point, which is the data warehouse modeling. This guided project is for students who are aiming to start their careers in the broad field of Data Engineering and the specific field of Data Warehouses Modeling. It will also be of interest to people who are keen on exploring Big Data platforms such as Apache Hadoop and Apache Hive. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
By the end of Task 1,you will be able to identify the star schema format in our project description.
By the end of Task 2, you will be able to identify the attributes and their data types.
By the end of Task 3, you will be able to create a database and tables in the database using Apache Hadoop and Apache Hive.
By the end of Task 4, you will be able to insert data into tables manually.
By the end of Task 5, you will be able to amend tables by adding primary and foreign keys constraints.
By the end of Task 6, you will be able to apply useful queries to your data warehouse to fetch specific data records.
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Great beginner course and introduction to Apache Hive and Apache Hadoop. Highly recommend it if you do not know anything about Hive, Hadoop and HQL.
What will I get if I purchase a Guided Project?
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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How much experience do I need to do this Guided Project?
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Can I complete this Guided Project right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Projects?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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