1、培訓過程中，如有部分內容理解不透或消化不好，可免費在以后培訓班中重聽；
        2、培訓結束后,授課老師留給學員聯系方式,保障培訓效果,免費提供課后技術支持。
        3、培訓合格學員可享受免費推薦就業機會。

Scala primer
A quick introduction to Scala
Labs : Getting know Scala
Spark Basics
Background and history
Spark and Hadoop
Spark concepts and architecture
Spark eco system (core, spark sql, mlib, streaming)
Labs : Installing and running Spark
First Look at Spark
Running Spark in local mode
Spark web UI
Spark shell
Analyzing dataset – part 1
Inspecting RDDs
Labs: Spark shell exploration
RDDs
RDDs concepts
Partitions
RDD Operations / transformations
RDD types
Key-Value pair RDDs
MapReduce on RDD
Caching and persistence
Labs : creating & inspecting RDDs; Caching RDDs
Spark API programming
Introduction to Spark API / RDD API
Submitting the first program to Spark
Debugging / logging
Configuration properties
Labs : Programming in Spark API, Submitting jobs
Spark SQL
SQL support in Spark
Dataframes
Defining tables and importing datasets
Querying data frames using SQL
Storage formats : JSON / Parquet
Labs : Creating and querying data frames; evaluating data formats
MLlib
MLlib intro
MLlib algorithms
Labs : Writing MLib applications
GraphX
GraphX library overview
GraphX APIs
Labs : Processing graph data using Spark
Spark Streaming
Streaming overview
Evaluating Streaming platforms
Streaming operations
Sliding window operations
Labs : Writing spark streaming applications
Spark and Hadoop
Hadoop Intro (HDFS / YARN)
Hadoop + Spark architecture
Running Spark on Hadoop YARN
Processing HDFS files using Spark
Spark Performance and Tuning
Broadcast variables
Accumulators
Memory management & caching
Spark Operations
Deploying Spark in production
Sample deployment templates
Configurations
Monitoring
Troubleshooting