Become a Big Data Ninja

Infobjects offers training classes that will get you up to speed on all things Big Data.

About

When you attend Infoobjects’ training, you’ll be immersed in a day full of sessions from industry-leading experts and thought leaders on topics spanning across Big Data and technologies in the cloud. You’ll have unlimited opportunities to meet with like-minded IT professionals and bring back key takeaways to use in your own organization!

Become a Big Data Ninja

What’s in it for You

  • Our program always evolves as technology does
  • You can repeat the training program as many times as you would like (at no additional cost)
  • Lifetime access to latest slides and virtual machines
  • More relevant content at half the price of competitors
  • Complimentary signed copy of Spark Cookbook by Packt Publishing, written by Rishi Yadav

Your Big Data 7-Course Meal

Course 1: Introduction to Big Data and HDFS

Day 1: 8:30 AM – 12:00 PM

  • Data Driven Thinking
  • Big Data 101
  • Big Data Storage: open-source
  • Hadoop Distributed File System (HDFS)
  • HDFS: Blocks
  • HDFS: NameNode
  • HDFS: DataNode
  • HDFS: Checkpointing
  • HDFS: HA, Federation and Snapshots
  • HDFS: Write & Read Path
  • HDFS: Commands
  • Big Data Storage: Public Cloud
  • AWS: S3
  • Azure Blog Storage

Course 2: Hadoop Compute

Day 1: 1:00 PM – 3:00 PM

  • Classic MapReduce
  • YARN
  • Input Formats

Course 3: Hadoop Tools

Day 1: 3:00 PM – 5:00 PMDay 2: 8:30 AM – 11:00 AM

Course 4: NoSQL

Day 1: 11:00 AM – 12:00 PMDay 2: 1:00 PM – 3:00 PM

  • HBase
  • Cassandra

Course 5: Spark Basics and SparkSQL

Day 2: 3:00 PM – 5:00 PMDay 3: 8:30 AM – 12:00 PM

  • Spark Basic
  • DeTour: Introduction to Scala
  • Spark Usage
  • SparkSQL: DataFrames & Datasets
  • Inferring schema using case classes
  • Loading and saving data using Parquet
  • Loading and saving data using JSON

Course 6: Spark Streaming & Real-Time Analytics

Day 3: 1:00 PM – 5:00 PM

  • Streaming Basics
  • Discretized Stream (DStream)
  • Word Count using Streaming
  • Streaming Twitter Data

Course 7: Spark MLlib & Machine Learning

Day 4: 8:30 AM – 12:00 PMDay 4: 1:00 PM – 4:00 PM

Bonus: Public Cloud #PaaS

Day 4: 4:00 PM – 5:00 PM

  • Serverless Architecture
  • Security in the Cloud
  • The Road Ahead

Schedule

The course takes place on two consecutive weekends, a total of four days

  • 8:00 – 8:30 AM – Free Breakfast + Coffee + Q/A session
  • 9:50 AM – 10:00 AM – Break
  • 12:00 PM – 1:00 PM – Free Lunch
  • 2:50 PM – 3:00 PM – Break

Next Session: Coming Soon

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