You’ll write 2000+ lines of Spark code yourself, with guidance, and you will become a rockstar . This course is for Scala programmers who are getting started with Apache Spark and big data . The course is not for advanced Spark engineers. It’s not only for those who want to learn how to write big data applications with Spark 3 and Scala. The course will be updated for Spark 3.2 . It will also teach you how to use Spark DataFrames and work with low-level Spark APIs with RDDs and use Spark SQL for data processing. You’ll also be able to migrate data from various data sources, including databases.
What you’ll discover in Apache Flicker 3 & & Big Data Essentials in Scala|Shake the JVM
- apply Glow large data principles
- method Flicker DataFrames operations with 100+ instances and exercises
- practice type-safe information handling with Spark Datasets
- deal with low-level Flicker APIs with RDDs
- use Glow SQL for data refining
- migrate information from various data sources, consisting of databases
Description
UPDATED FOR GLOW 3.2
In this training course, we will certainly learn just how to compose huge data applications with Apache Flicker 3 and Scala. You’ll compose 2000+ lines of Flicker code yourself, with support, as well as you will certainly end up being a superstar.
This program is for Scala programmers who are getting started with Apache Spark and also huge information. The program is not for innovative Glow designers.
Why Flicker in Scala:
Who this course is for:
- Future data scientists
- Programmers getting into the field of Big Data
- Engineers wanting to learn Spark in Scala, its native language
| File Name : | Apache Spark 3 & Big Data Essentials in Scala | Rock the JVM free download |
| Content Source: | udemy |
| Genre / Category: | Development |
| File Size : | 0.96 gb |
| Publisher : | Daniel Ciocîrlan |
| Updated and Published: | 06 Jun,2022 |
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