Description
1. Introduction to Large-Scale Data Analytics
2. Spark and Databricks
3. Getting started with Databricks
4. Workspaces, Clusters, and Notebooks
5. Getting data into Databricks
6. Querying Data Using SQL
7. The power of Python
8. ETL and Advanced Data Wrangling
9. Connecting to and from Afar
10. Running in Production
11. Bits and Pieces
Author: Robert Ilijason
Publisher: Apress
Published: 06/12/2020
Pages: 274
Binding Type: Paperback
Weight: 1.13lbs
Size: 10.00h x 7.00w x 0.62d
ISBN13: 9781484257807
ISBN10: 1484257804
BISAC Categories:
- Business & Economics | Industries | Computers & Information Technology
- Computers | Programming | Microsoft
- Computers | Programming | Open Source
About the Author
Robert Ilijason is a 20-year veteran in the business intelligence (BI) segment. He has worked as a contractor for some of Europe's biggest companies and has conducted large-scale analytics projects within the areas of retail, telecom, banking, government, and more. He has seen his share of analytic trends come and go over the years, but unlike most of them, he strongly believes that Apache Spark in the cloud, especially with Azure Databricks, is a game changer.