Time: April 7, 2016 at 9am to April 10, 2016 at 6pm
Location: Pune
Street: Pune
City/Town: Pune
Phone: 8800200596
Event Type: training
Organized By: Suruchi Khanna
Latest Activity: Mar 23, 2016
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Xebia is an official training partner of Cloudera, the leader in Apache Hadoop-based software and services. This four days hands-on data analyst training, focusing on Apache Pig and Hive and Cloudera Impala, will teach you to apply traditional data analytics and business intelligence skills to Big Data. Learn the tools data professionals need to access, manipulate, and analyse complex data sets using SQL and familiar scripting languages.
Programme and Course Overview
You will benefit from this course if…
You are a data analyst, business analyst, developer or administrator,
You have experience with SQL and basic UNIX or Linux commands.
Prior knowledge of Java and Apache Hadoop is not required.
What you will achieve:
This training alternates between instructional sessions and hands-on labs.After completing this 3-day training.
You will know:
The fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with Hadoop tools,
How to apply the fundamentals of familiar scripting languages to the Hadoop cluster with Apache Pig.
You will have hands-on experience in:
You will have the skills to:
Perform real-time interactive analyses on massive data sets stored in HDFS or HBase using SQL with Impala,
Pick the best analysis tool for a given task in Hadoop
Enable real-time interactive analysis of the data stored in Hadoop via a native SQL environment with Cloudera Impala.
Target Group & Prerequisites:
This course is best suited to data analysts, business analysts, developers and administrators who have experience with SQL and basic UNIX or Linux commands.Prior knowledge of Java and Apache Hadoop is not required
Upcoming Batch :- Pune _ 07-10th Apr'16
Duration: 4 Days Cost of INR 74,400 plus taxes includes : 4 Days of Training +Participation Certificate + Daily lunch and 2 Time Snacks +Authorized Course Content + Lab Access. |
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