Hands on workshop in Big Data - Hadoop, Spark, NoSQL/Cassandra at Santa Clara

Learner's Place Professional Academy (LPPA) is a leading provider of high-quality training programs for working professionals seeking to enhance their skills and advancing their careers in the industry. Recent graduates or MS/PhD students can also gain industry specific knowledge and hands on experience. LPPA's main strength is its strong faculty team. All our faculties are industry's seasoned veterans and experts in their own field of work. Visitwww.learnersplace.comto know more.

Learner's Place Professional Academy

Attend all three days, any two days or any one day
 
Workshop Description
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. For more information please visit http://www.learnersplace.com
Instructor:
<A HREF="https://www.linkedin.com/in/sujeemaniyam" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Sujee Maniyam</A>
Sujee has been developing software for 15 years. In the last few years he has been consulting and teaching Hadoop, NOSQL and Cloud technologies. Sujee stays active in Hadoop / Open Source community. He runs a developer focused meetup and Hadoop hackathons called ‘Big Data Gurus’. He has presented at variety of meetups. Sujee contributes to Hadoop project and other open source projects. He writes about Hadoop and other technologies on his website.
 
Agenda:
 
Day 1: NoSQL with Cassandra 
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
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
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
 
<H4>Lab Requirements </H4>
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)
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SSH client (For Windows use Putty / SecureCRT ; Mac and Linux come with ssh clients)
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Chrome browser with Markdown Preview Plus plugin
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Nice to have : a programmer’s editor
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Windows : Sublime, NotePad++, Programmer’s NotePad, TextPad
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Mac : Sublime, TextWrangler
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Linux : Sublime, GEdit, vim, Emacs
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<H4>Who should attend? </H4>
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.

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