YoVDO

Implementing Change Data Capture (CDC) and Slowly Changing Dimensions (SCD) Using Spark and Hive

Offered By: NashKnolX via YouTube

Tags

Apache Spark Courses Big Data Courses Data Warehousing Courses Apache Hive Courses Data Engineering Courses Data Integration Courses ETL Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to implement Change Data Capture (CDC) and Slowly Changing Dimension (SCD) patterns in Hive using Apache Spark in this comprehensive tutorial. Follow a step-by-step guide to understand and apply these essential data warehousing techniques, enhancing your skills in managing and tracking data changes efficiently. Gain practical insights into leveraging Spark and Hive for effective data integration and historical data management in your big data projects.

Syllabus

Implement Change Data Capture (CDC)/SCD using Spark & Hive


Taught by

NashKnolX

Related Courses

CS115x: Advanced Apache Spark for Data Science and Data Engineering
University of California, Berkeley via edX Big Data Analytics
University of Adelaide via edX Big Data Essentials: HDFS, MapReduce and Spark RDD
Yandex via Coursera Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
Yandex via Coursera Introduction to Apache Spark and AWS
University of London International Programmes via Coursera