Course curriculum

    1. Segment 01: Workshop Overview

    2. Segment 02: HIVE

    3. Segment 03: Hive Databases

    4. Segment 04: Lab - Hive Billing and Partitions

    5. Segment 05: Joins

    6. Segment 06: Sentiment Analysis

    7. Segment 07: Hive Has Changed A Lot

    1. Segment 08: Introduction To Spark

    2. Segment 09: Spark Structure and Case Studies

    3. Segment 10: Spark Is A Better Fit For Iterative Workloads

    4. Segment 11: Spark: Hadoop Spark Solutions

    5. Segment 12: Spark Data Model Evolution: Dataframes

    6. Segment 13: Creating A DataFrame From JSON(Scala)

    7. Segment 14: Querying of A DataFrame Using DSL (Scala) I

    8. Segment 15: Querying Of A DataFrame Using DSL (Scala) Ii

    1. Segment 16: Spark SQL

    2. Segment 17: Dataset

    3. Segment 18: Spark and Hive

    4. Segment 19: Data Formats

    5. Segment 20: Lab: Data Formats

    6. Segment 21: NoSQL I

    7. Segment 22: NoSQL II

    8. Segment 23: Amazon Redshift

    9. Segment 24: Google Cloud Platform (GCP)

    10. Segment 25: Microsoft Azure Data Lake

About this course

  • Free
  • 25 lessons
  • 3.5 hours of video content