Learner's Place Professional Academy

Extensive Hands-on Workshop on Big Data using Hadoop, Spark, NoSQL/Cassandra

Learner's Place Professional Academy is offering 3 days extensive workshop on Big Data. Big Data workshop is targeted towards technical people who want to get a jumpstart on Big Data, with a specific focus on Hadoop, Spark, NoSQL and Cassandra. The workshop is targeted for a small focused group of attendees with more than 70% hands on lab. You will not only learn the technology but also get familiarized with industry specific applications. Workshop instructor Sujee Maniyam is industry practitioner and veteran of Big Data.

Date: July 8 - 10, 2016 (Friday - Sunday)

Time: 9AM - 6PM

​

You can attend all three days, any two days or any one day. Please click the register button to see the options. 

​

Location:

Avatar Hotel, 4200 Great America Parkway, Santa Clara, CA - 95054

​

Lunch and beverages included.

Day 1 : NoSQL with Cassandra

Agenda:

Learn NoSQL data modeling with the popular Cassandra data base

9:00AM – 10:00AM - NoSQL landscape       

10:00AM – 12:00PM - Cassandra architecture and concepts   

12:00PM - 1:00PM - Lunch Break

1:00PM - 2:00PM - CQL

2:00PM - 3:00PM - Data modeling in Cassandra using CQL

3:00PM - 3:15PM - Break

3:15PM - 4:15PM - queries

4:15PM - 5:15PM - indexes

5:15PM - 5:45PM - composite keys

5:45PM - 6:00PM - Wrap –up Day 1

Day 2 : Hadoop

Agenda:

Learn to use Hadoop - the Big Data platform

9:00AM - 11:30AM - Hadoop intro

11:30 AM - 12:00PM - HDFS

12:00 PM -- 1:00PM - Lunch Break

1:00 PM - 3:00PM - Map Reduce primer

3:00PM - 3:15PM - Break

3:15PM - 4:45PM - Hive

4:45PM - 5:45PM - Querying data in Hadoop

5:45PM - 6:00PM - Wrap –up Day 2

Day 3 Spark

Agenda:

Continue learning Big Data analytics with emerging technology - Apache Spark

9:00 AM - 10:00 AM - Scala primer (quick introduction)

10:00 AM – 12:00  PM - Spark architecture / design

12:00 PM - 1:00PM - Lunch Break

1:00PM - 2:00PM - Spark Shell

2:00PM - 3:00PM - RDDs

3:00PM - 3:15PM - Break

3:15PM - 5.00PM - Spark SQL / Dataframes

5:00PM - 5:45PM - Spark streaming

5:45PM - 6:00PM - Wrap-up and Q&A

NOTE: Agenda subject to change without notice

Lab requirement:

A reasonably modern laptop (Need to be able to connect to clusters running on cloud services… corporate laptops with overly restrictive firewalls are not recommended)

• SSH client (For Windows use Putty / SecureCRT ; Mac and Linux come with ssh clients)

• Chrome browser with Markdown Preview Plus plugin

• Nice to have : a programmer’s editor

  • Windows : Sublime, NotePad++, Programmer’s NotePad, TextPad

  • Mac : Sublime, TextWrangler

  • Linux : Sublime, GEdit, vim, Emacs

Who should attend?

This course is appropriate for any Big Data enthusiast including Software Programmer, Project Manager, Product Manager, Architect, DBA or Quality Analyst. Prior experience with programming is not necessary.

Book written by Sujee