Data Lake Framework & Design Implementation
Amazon Web Services 2019
| Intermediate
- 10 Videos | 33m 16s
- Includes Assessment
- Earns a Badge
A key component to wrangling data is the data lake framework. In this 9-video Skillsoft Aspire course, discover how to design and implement data lakes in the cloud and on-premises by using standard reference architectures and patterns to help identify the proper data architecture. Learners begin by looking at architectural differences between data lakes and data warehouses, then identifying the features that data lakes provide as part of the enterprise architecture. Learn how to use data lakes to democratize data and look at design principles for data lakes, identifying the design considerations. Explore the architecture of Amazon Web Services (AWS) data lakes and their essential components, then look at implementing data lakes using AWS. You will examine the prominent architectural styles used when implementing data lakes on-premises and on multiple cloud platforms. Next, learners will see the various frameworks that can be used to process data from data lakes. Finally, the concluding exercise compares data lakes and the data warehouse, showing how to specify data lake design patterns, and implement data lakes by using AWS.
WHAT YOU WILL LEARN
-
describe the architectural differences between data lakes and data warehousesidentify the features data lakes provide as a part of the enterprise architecturerecognize how to use data lakes to democratize dataidentify the design considerations for data lakesdescribe the architecture of AWS data lakes and their essential components
-
implement data lakes using AWSrecognize the prominent architectural styles used when implementing data lakes on-premises and on multiple cloud platformslist the various frameworks that can be used to process data from data lakescompare data lakes and data warehouses, specify data lake design patterns, and implement data lakes using AWS
IN THIS COURSE
-
1.Course Overview2m 12sUP NEXT
-
2.Data Lakes and Data Warehouses3m 16s
-
3.Data Lake Selection Criteria3m 46s
-
4.Data Lake and Data Democratization2m 25s
-
5.Data Lake Design Principles2m 49s
-
6.AWS Data Lake Architecture3m 59s
-
7.Implement AWS Data Store4m 23s
-
8.Data Lake For On-Premise and Multi-Cloud4m 40s
-
9.Data Processing Frameworks for Data Lake4m 5s
-
10.Exercise: Implement AWS Data Store1m 42s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.