Course description
Enterprise Scala in Spark
Enterprise Data Science is a very wide-ranging field built on many core technologies and paradigms that combine to provide a robust solution. Some of these key technologies and/or practices include ETL, Data Engineering, Machine Learning, Network/Grid/Cloud engineering, Business Rules and others. Introduction to Enterprise Scala in Spark is five-day, hands-on course that explores some of these areas at a higher level and provides experienced developers with a ‘big-picture’ understanding of how these technologies and skillsets fit together in a professional-grade enterprise Data Science environment, focusing on best practices and emerging trends.
This course introduces Scala and Functional programming as well as Spark and Enterprise Integration techniques in a "breadth"-based approach for maximum exposure into the wider 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 for true mastery of Enterprise Data Science.
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Who should attend?
Attending students are required to have a background in programming with basic OO development skills. Students should have the following incoming skills or knowledge:
- Experience in developing object-oriented enterprise applications to at least a basic level
- Familiarity with Eclipse
- Be comfortable with the Linux/Unix command line, including editing text files
Training content
Session: Functional Programming in Scala
- Functional Programming
- Scala Overview
- Scala vs. Python vs. Java vs. R
- REPL in Scala
- Installing Scala
- Hello, Scala
Session: 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
Session: 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)
Session: Working with NOSQL
- Not Only SQL
- Relational Data
- Sqoop
- Columnar Databases
- Cassandra
- Document Databases
- Key/Value Databases
- Graph Databases
- Neo4J
- GraphX
- Hive in Spark
Session: Spark Streaming
- Spark Streaming Model
- Streaming with Kafka
Session: ML Lib
- Machine Learning Essentials
- Spark ML/MLLib
- MLLib and Streaming
- MLlib, Streaming, and Kafka
Session: Enterprise Integration
- Enterprise Service and Message Busses
- Lambda Architecture
Costs
- Price: $2,695.00
- Discounted Price: $1,751.75
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Trivera Technologies
Trivera Technologies is a IT education services & courseware firm that offers a range of wide professional technical education services including: end to end IT training development and delivery, skills-based mentoring programs,new hire training and re-skilling services, courseware licensing and...