Big Data Hadoop and Spark Combo Training
Big Data Trunk is a company focused exclusively on Big Data Technologies. We offer training, placement and job/project assistance on big data.
This Big Data Hadoop and Spark Combo training at our Fremont, CA classroom provides opportunity for building your career in high demand Big data domain. (Online option available for non-locals)
What’s Unique about us?
- o No one just wants training, they want a job and career. We don’t just provide training, but we help with certification, job placement and job assistance.
- o We have Apps in Andriod, iOS, windows stores to help with certification simulation test prep.(refer our website www.bigdatatrunk.com)
- o We train on the complete big data ecosystem including Apache spark.
- o You can attend training two more times at no additional cost.
- o Best price for any such classroom training.
Our training is one comprehensive training which covers the whole spectrum of Big Data as you can see in course outline down below.
Schedule (5 Weeks program):
Every Sunday: 10:00 AM - 4:30 PM PST
Every Wednesday: 7:00 PM - 8:30 PM PST
Frequently Asked Questions:
Will There Be Job Opportunities afterwards? We don’t just provide training, but we help with certification, job placement and job assistance.
Do you have labs and project? Yes! After every section there is a lab and 2 projects in the ends to practice (along with solutions).
Do I need to bring my own device? Yes! Please make sure your computer has at least 8GB of RAM.
Module 1 Big Data Overview
- § Lab 1 Cloudera Install
- § Cloudera VM Walkthrough
Module 2 - Basic of Unix & Java
- § Lab 2a Basic Unix Command
- § Lab 2b Basic Java for Hadoop
Module 3 – HDFS Deep Dive
- § Lab 3 – Interacting with HDFS
Module 4 – Map Reduce in Action
- § Lab 4a – Running First MapReduce Job
- § Lab 4b - Library Indexing MapReduce Job
Module 5 Hive
- § Lab 5a Practice HiveQL
- § Lab 5b Working with Hive
Module 6 - Pig
- § Lab 6 Practice Pig Latin
Module 7 – YARN ( MapReduce v2)
- § Lab 7 – YARN Cloudera VM Walkthrough
Module 8 – Scoop
- § Lab 8 – Scoop RDMS Data to Hadoop
Module 9 – Flume
- § Lab 9 – Loading Logs Data to Hadoop
Module 10 – Hbase
- § Lab 10 – Hbase Lab
Module 11 – Oozie
- § Lab 11– Oozie Lab
Module 12 – Zookeeper
Module 13 – Apache Spark
- § Lab 13– Spark Lab
Module 14 – Best Practices
Module 15 – Project 1
Module 15 – Project 2
Module 16 – Interview Prep
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