Course: Data Lakes & Modern Data Warehouses
duration: 5 hours |
Language: English (US) |
access duration: 90 days |

Details
Data lakes are a useful way of storing all your structured and unstructured data in a single repository. They're widely used in the data industry to quickly retrieve data in raw formats and expose them to data pipelines. Anyone working with data technologies would benefit from appreciating the power and intricacies of data lakes, and that’s exactly what this course is about. You start by exploring the different aspects of data lakes, including their evolution, architecture, and maturity stages. You will learn about different data lake platforms and advantages of governed data lakes. Next, you’ll examine data warehousing solutions, architecture, and techniques, discover Amazon Redshift and Google BigQuery, and explore the concepts, such as batch, stream, and real-time analytics. Finally, you’ll examine different types of data pipelines and Azure Databricks.
Result
After completing this course, you can use Data Lakes and Modern Data Warehouses to step up your game in the data technologies.
Prerequisites
No prerequisites, however some experience in data technologies is recommended.
Target audience
Database Administrators, Data analist
Content
Data Lakes & Modern Data Warehouses
Data Lakes and Modern Data Warehouses: Data Lakes
Data lakes are a useful way of storing all your structured and
- unstructured data in a single repository. They're widely used in
- the data industry to quickly retrieve data in raw formats and
- expose them to data pipelines. Anyone working with data
- technologies would benefit from appreciating the power and
- intricacies of data lakes. Use this course to explore the different
- aspects of data lakes, including their evolution, architecture, and
- maturity stages. Examine the advantages of governed data lakes.
- Learn about different data lake platforms. Identify the risks and
- challenges associated with data lakes and distinguish between a
- data warehouse and a data lake. Upon completion of this course,
- you'll fully comprehend why and how data lakes are used.
Data Lakes and Modern Data Warehouses: Modern Data Warehouses
In today’s world, data warehouses have become necessary for
- making informed business decisions. The wide availability of data
- comes at an increased cost of storing it efficiently - a necessity
- for any business working with large amounts of data. Learn more
- about the key concepts, architecture, stages, use cases, and
- available solutions for data warehouses using this course. You will
- examine data warehousing solutions, architecture, and techniques,
- discover Amazon Redshift and Google BigQuery, and explore the
- concepts, such as batch, stream, and real-time analytics. This
- course will also help highlight the considerations for implementing
- a data warehouse for a business and the implementation steps and
- best practices required. After completing this course, you will
- have a foundational knowledge of implementing a data warehousing
- solution for your business.
Data Lakes and Modern Data Warehouses: Azure Databricks & Data Pipelines
Azure Databricks is a data analytics platform optimized to work
- with Microsoft Azure cloud services and is an example of a cloud
- platform designed to serve business analytics needs. Use this
- course to explore the architecture, features, advantages, and
- disadvantages of Azure Databricks – a leading cloud-based tool used
- for data engineering, and Snowflake – a data
- warehouse-as-a-service. Examine different types of data pipelines
- and their components and advantages. You will also compare various
- data pipeline tools and learn more about building a data pipeline
- through a case study. Upon finishing this course, you will be able
- to recognize the capabilities of different data warehouses and the
- steps required for building data pipelines.
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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Award Winning E-learning | Yes |
Mobile ready | Yes |
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