Freelancer Big Data Hadoop Trainer in India

Closed Posted 4 years ago Paid on delivery
Closed Paid on delivery

we are looking Freelancer Big Data Hadoop Trainer only in India.

Date of Training: 1 to 5th July 2019

Training Location: Mumbai

BIG DATA HADOOP HANDS ON:

Learn to write Complex MapReduce programs

Manage big data on a cluster with HDFS and MapReduce

Perform Data Analytics using Pig and Hive.

Design distributed systems that manage "big data" using Hadoop and related technologies.

Use HDFS and MapReduce for storing and analyzing data at scale.

Understand Data Loading Techniques using SQOOP and Flume

Word Count for a large amount of data With Using (MapReduce , Pig , Hive )

Master the concepts of Hadoop Distributed File System and MapReduce Framework

Work on Project on Big Data Analytics and gain Hands on Project Experience

Hadoop Big Data Sales Map Reduce Spark Java

Project ID: #20082622

About the project

4 proposals Remote project Active 4 years ago

4 freelancers are bidding on average ₹33888 for this job

shivaminspires

hey i have relevant experience in this field.. i can train the people as i have so many clients to whom i have teached the big data technologies..

₹33333 INR in 5 days
(1 Review)
3.8
dineshrajputit

available for remote Hi, I have 8 years of experience and working on hadoop, spark, nosql, java, BI tools(tableau, powerbi), cloud(Amazon, Google, Microsoft Azure)... Done end to end data warehouse management project More

₹38888 INR in 10 days
(5 Reviews)
3.6
rajaece485

An accomplished Big Data Engineer with 7+ years of extensive experience in Unix/Linux, Cloud & Big Data Administration and Consultation. I've the motivation to take responsibility as well as the ability to contribute, More

₹27777 INR in 5 days
(0 Reviews)
0.0
saket1704

Hi, warm greetings of the day! I've around 7 years of experience working in "big data - devops" domain as systems engineer in Admin role handling all three environments (production, development and QA) very big clust More

₹35555 INR in 10 days
(0 Reviews)
0.0