Enterprise Scala with Spark

Start Date: January 01, 1970 – 12:00 AM (Pacific Time)

End Date: January 01, 1970 – 12:00 AM (Pacific Time)

$2,495.00

*Looking for flexible schedule (after hours or weekend)? Please call or email us: 858-208-4141 or sales@ccslearningacademy.com.
Student financing options are available.

Transitioning military and Veterans, please contact us to sign up for a free consultation on training and hiring options.
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Course Description:

Learn about Scala and enterprise integration in a professional-grade Data Science environment.

Enterprise Data Science is a wide-ranging field built on many core technologies and paradigms that combine to provide a robust solution. Some of these technologies and/or practices include ETL, Data Engineering, Machine Learning, Network/Grid/Cloud engineering, and Business Rules.

This course explores some of these areas and provides experienced developers with a ‘big-picture’ understanding of how these technologies fit together for a professional-grade enterprise Data Science environment. You’ll learn Scala and Functional programming as well as Spark and Enterprise Integration techniques in a “breadth”-based approach for maximum exposure into the world of Enterprise Data Science. The course has several hands-on labs integrated throughout the training, but additional “depth”-based learning should be expected after this class to master Enterprise Data Science.

Course Outline

Functional Programming in Scala

  • Functional Programming
  • Scala Overview
  • Scala vs. Python vs. Java vs. R
  • REPL in Scala
  • Installing Scala
  • Hello, Scala

Introduction to Scala

  • Classes and Objects
  • Traits
  • Mixins
  • High-Order Functions
  • Types and Inference
  • Lists
  • Annotations
  • Collections
  • Pattern Matching
    Using Java in Scala
  • Futures, Promises, and Parallel Collections (Concurrency)
  • Functional Programming Overview

Spark Core

  • Hadoop and Spark Overview
  • File I/O with HDFS
  • Data Frames and Resilient Distributed Datasets
  • Spark SQL
  • In-memory lookups
  • Essential AI with MLLib
  • Using Web Notebooks (Optional)

Working with NoSQL

  • Not Only SQL
  • Relational Data
  • Sqoop
  • Columnar Databases
  • Cassandra
  • Document Databases
  • Key/Value Databases
  • Graph Databases
  • Neo4J
  • GraphX
  • Hive in Spark

Spark Streaming

  • Spark Streaming Model
  • Streaming with Kafka

ML Lib

  • Machine Learning Essentials
  • Spark ML/MLLib
  • MLLib and Streaming
  • MLlib, Streaming, and Kafka

Enterprise Integration

  • Enterprise Service and Message Busses
  • Lambda Architecture

Target Audience

Data Scientists and Developers.

What You'll Learn

Join an engaging hands-on learning environment, where you’ll learn:

  • Essential Scala programming, leveraging your existing OO development experience
  • How to write essential Spark programs and perform exploratory data analysis in Scala and the Spark shell
  • Work with Spark Core
  • Work with NoSQL
  • How to write programs for Spark Streaming in Scala

Prerequisites

Before attending this course, you should have:

  • Experience in Java development, object-oriented enterprise applications at a basic level
  • Familiarity with Eclipse
  • Be comfortable with the Linux/Unix command line, including editing text files

Inclusions

With CCS Learning Academy, you’ll receive:

  • Instructor-led training
  • Training Seminar Student Handbook
  • Pre and Post assessments/evaluations
  • Collaboration with classmates (not currently available for self-paced course)
  • Real-world learning activities and scenarios
  • Exam scheduling support*
  • Enjoy job placement assistance for the first 12 months after course completion.
  • This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
  • Government and Private pricing available.*

*For more details call: 858-208-4141 or email: training@ccslearningacademy.com; sales@ccslearningacademy.com