This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading.
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Course 3 of 3 in the Databases for Data Scientists Specialization.
What You Will Learn
- In-depth and advanced areas of database technologies
- The future of database software and where the industry is heading
Syllabus
WEEK 1
DBMS Administration Essentials
In this module we will take a deeper look into the internals of DBMS software to better understand how it works. We will examine the role of the DBA (Database Administrator), the Data Scientist, the Data Architect, and other career paths in the realm of database technologies. This module covers DBMS essentials such as concurrency management, backup & recovery, and transaction logging.
WEEK 2
Data Warehousing, Data Cube
We have learned to design a Relational Database around the typical transactions or activities a business might have. However, in case we need to analyze data, rather than collect data, we need to create a database for the subject of interest to support decision making. In this module, we are going to learn a different perspective of organizing the data, Data Warehouse, or Online Analytical Processing.
WEEK 3
Big Data and the Data Explosion
We are in the era of data explosion. While relational databases are still widely used, we are having new problems to deal with data that is different than the one we have been organizing. This new type of data, with 10 V's in the definition, is called Big Data. We are going to explore the definitions, the challenges, and the architecture of the Big Data in this module.
WEEK 4
The Relational Problem and NoSQL Systems
Although relational database software has been in use for decades, relational database systems still command a huge share of the database software marketplace. However, with the more recent explosion of Big Data, relational systems are struggling to keep up. Big Data has opened the door for non-relational database solutions ("NoSQL") to capture marketshare from relational systems. In this module we will take a deeper look into the most popular NoSQL database technologies.
