Course Description:
Learn about Scala and enterprise integration in a professional-grade Data Science environment.
Analytics & BI
Student financing options are available.
Enterprise Scala with Spark
*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.
Looking for group training? Contact Us
- Description
- Additional information
- Course Outline
- Target Audience
- What You'll Learn
- Prerequisites
- Inclusions
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
- 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
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