Brief Introduction
Learn the fundamentals and architecture of Apache Spark, the leading cluster-computing framework among professionals.Description
Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers are becoming increasingly valued.
This statistics and data analysis course will teach you the basics of working with Spark and will provide you with the necessary foundation for diving deeper into Spark. You’ll learn about Spark’s architecture and programming model, including commonly used APIs. After completing this course, you’ll be able to write and debug basic Spark applications. This course will also explain how to use Spark’s web user interface (UI), how to recognize common coding errors, and how to proactively prevent errors. The focus of this course will be Spark Core and Spark SQL.
This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (the Python API for Spark), but previous experience with Spark or distributed computing is NOT required. Students should take this Python mini-quiz before the course and take this Python mini-course if they need to learn Python or refresh their Python knowledge.
Knowledge
- Basic Spark architecture
- Common operations
- How to avoid coding mistakes
- How to debug your Spark program
CouchDB - Mastering Database Design with CouchDB
- 3.5
-
![]()
![]()
![]()
![]()
![]()
Learn about CouchDB, the processes to set it up, and the ways to interact with CouchDB server using cURL and Futon....
Excel : 2019 Microsoft Excel Beginner to Expert level course
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Excel Complete A to Z Microsoft Excel 2019 Course. Excel 2007, 2010, 2013, 2016, and Office 365. Become 0 to hero !!...
Learn Linux administration and linux command line skills
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Learn Linux administration and Linux command Line skills from scratch. Great for both beginners and Advanced Learners. . . . ....
Building Batch Data Pipelines on GCP en Français
- 0.0
-
![]()
![]()
![]()
![]()
![]()
En règle générale, les pipelines de données fonctionnent sur le modèle "Extraction et chargement" (EL), "Extraction, chargement et transformation" (ELT), ou "Extraction, transformation et chargement" (ETL)....
