Big Data Training - InfoObjects Inc.

InfoObjects

Big Data Training 
InfoObjects offers Big Data (Hadoop and Spark) training classes at our HeadQuarters in San Jose, CA.
Why get trained by us? 
<UL>
<LI CLASS="MsoNormal">Our program always evolves as technology does</LI>
<LI CLASS="MsoNormal">You can repeat the training program as many times as you would like (at no additional cost)</LI>
<LI CLASS="MsoNormal">Lifetime access to latest slides and virtual machines</LI>
<LI CLASS="MsoNormal">More relevant content at half the price of competitors</LI>
<LI CLASS="MsoNormal">Both online and classroom options available</LI>
<LI CLASS="MsoNormal">Complimentary signed copy of Spark Cookbook by Packt Publishing written by Rishi Yadav</LI>
</UL>
 
This training is primarily for techies who want to get into Big Data space. Our training is one comprehensive training which covers the whole spectrum of Big Data as you can see in course outline down below. 
The duration will be two consecutive  weekends:
Aug 5th: 8:00 AM - 5:00 PM
Aug 6th: 8:00 AM - 5:00 PM
Aug 12th: 8:00 AM - 5:00 PM
Aug 13th: 8:00 AM - 5:00 PM
8:00 – 8:30 AM – Free Breakfast + Coffee + Q/A session
9:50 AM – 10:00 AM – Break
 12:00 – 1:00 AM – Free Lunch 
2:50 PM – 3:00 PM – Break
 
Frequently Asked Questions: 
Will There Be Job Opportunities afterwards?
We are a consulting company and would love to help you get placed.
Hands On? 
Yes! Theory and practice go hand-in-hand.
Do I need to bring my own device?
Yes! Please make sure your computer has at least 8GB of RAM.
What is prerequisite for this course? 
You must have prior programming experience in your career. 
 
Big Data Meal - 7 course meal-menu
Course 1: Introduction to Big Data & HDFS
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<LI> </LI>
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<UL>
<UL>
<LI CLASS="MsoNormal">Data Driven Thinking</LI>
<LI CLASS="MsoNormal">Big Data 101</LI>
<LI CLASS="MsoNormal">Big Data Storage: open-source</LI>
<LI CLASS="MsoNormal">Hadoop Distributed File System (HDFS)</LI>
<LI CLASS="MsoNormal">HDFS: Blocks</LI>
<LI CLASS="MsoNormal">HDFS: NameNode</LI>
<LI CLASS="MsoNormal">HDFS: DataNode</LI>
<LI CLASS="MsoNormal">HDFS: Checkpointing</LI>
<LI CLASS="MsoNormal">HDFS: HA, Federation and Snapshots</LI>
<LI CLASS="MsoNormal">HDFS: Write & Read Path</LI>
<LI CLASS="MsoNormal">HDFS: Commands</LI>
<LI CLASS="MsoNormal">Big Data Storage: Public Cloud</LI>
<LI CLASS="MsoNormal">AWS: S3</LI>
<LI CLASS="MsoNormal">Azure Blog Storage</LI>
</UL>
</UL>
</DIV>
 Course 2: Hadoop Commute
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<LI> </LI>
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<LI CLASS="MsoNormal">Classic MapReduce</LI>
<LI CLASS="MsoNormal">YARN</LI>
<LI CLASS="MsoNormal">Input Formats</LI>
</UL>
</UL>
</DIV>
 Course 3: Hadoop Tools
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<LI> </LI>
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<LI CLASS="MsoNormal">Hive</LI>
<LI CLASS="MsoNormal">Kafka</LI>
</UL>
</UL>
</DIV>
Course 4: NoSQL
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<LI> </LI>
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<LI CLASS="MsoNormal">HBase</LI>
<LI CLASS="MsoNormal">Cassandra</LI>
</UL>
</UL>
</DIV>
 Course 5: Spark Basics & SparkSQL
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<LI> </LI>
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<LI CLASS="MsoNormal">Spark Basic</LI>
<LI CLASS="MsoNormal">DeTour: Introduction to Scala</LI>
<LI CLASS="MsoNormal">Spark Usage</LI>
<LI CLASS="MsoNormal">SparkSQL: DataFrames & Datasets</LI>
<LI CLASS="MsoNormal">Inferring schema using case classes</LI>
<LI CLASS="MsoNormal">Loading and saving data using Parquet</LI>
<LI CLASS="MsoNormal">Loading and saving data using JSON</LI>
</UL>
</UL>
</DIV>
Course 6: Spark Streaming & Real Time Anaysis
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<LI> </LI>
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<LI CLASS="MsoNormal">Streaming Basics</LI>
<LI CLASS="MsoNormal">Discretized Stream (DStream)</LI>
<LI CLASS="MsoNormal">Word Count using Streaming</LI>
<LI CLASS="MsoNormal">Streaming Twitter Data</LI>
</UL>
</UL>
</DIV>
Course 7: Spark MLib & Machine Learning
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<LI CLASS="MsoNormal">Machine Learning Basics</LI>
<LI CLASS="MsoNormal">Supervised Learning</LI>
<LI CLASS="MsoNormal">Unsupervised Learning</LI>
<LI CLASS="MsoNormal">Recommendation Engines</LI>
</UL>
</UL>
</DIV>
 
Bonus : Public Cloud #PasS
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<LI> </LI>
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<LI CLASS="MsoNormal">Serverless Architecture</LI>
<LI CLASS="MsoNormal">Security in the Cloud</LI>
<LI CLASS="MsoNormal">The Road Ahead</LI>
</UL>
</UL>
</DIV>
 
You can always give us a call at
 Ph: 408-988-2000 Ext 151

InfoObjects Inc.

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Big Data Training - InfoObjects Inc.

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