StepLeaf’s Big Data Hadoop Training Course is a collection of all topics to become a big data expert. It helps to extract more from your data and validate your skills in Big Data and Hadoop Ecosystem tools such as Sqoop, Flume, Oozie, Spark, HBase, Pig, Hive, MapReduce, YARN and HDFS. StepLeaf’s Cloud Lab helps to apply the application in various fields like Banking, Cloud Computing, Data mining, Finance and Retail.
|Jul 18||Sat,Sun (7.5 Weeks) Weekend Batch||Filling Fast 02:30 PM 04:30 PM|
Can't find a batch you were looking for?
BigData Hadoop Training Course explores major characteristics and functionalities of BigData and Hadoop Ecosystem Tools. Hadoop stores inexpensive commodity servers that run on clusters. Hadoop helps to make big business decisions providing a wide variety of data and various records of a company.
The demand for Hadoop professionals are increasingly growing in IT firms. It is trending with a huge demand as hadoop has reached all the corners of the world. Hadoop can harness the power of data to improve business.
StepLeaf provides first-hand practical experience in various domains with Hadoop Distributed File System (HDFS) and MapReduce Frameworks. Students will be able to perform MapReduce jobs on a Linux-based Mind Project Hadoop Cluster.
Why should you go for Big Data Hadoop Online Training?
IT firms always have compelling requirements for skilled professionals who can work and think in different angles of business. Hadoop is evolving rapidly as it excels in a wide variety of data processing. Being cost-effective, salable and reliable Hadoop has a vast scope in future.
What are the pre-requisites for StepLeaf's Hadoop Training Course?
Hadoop is basically written in JAVA, so a little knowledge in core Java , Linux and SQL will help understand the Hadoop concept better.
bigdata, apachespark, flume, hdfs, mapreduce, yarn, storage&resourcemanagement., mapreduceframework, sqoop, etloperations, pig, hive, hbase, bigdataanalytics, hadoopcluster
Learning Objectives: In this module, you will understand what Big Data is, the limitations of the traditional solutions for Big Data problems, how Hadoop solves those Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write & how MapReduce works.
• Introduction to Big Data & Big Data Challenges
• Limitations & Solutions of Big Data Architecture
• Hadoop & its Features
• Hadoop Ecosystem
• Hadoop 2.x Core Components
• Hadoop Storage: HDFS (Hadoop Distributed File System)
• Hadoop Processing: MapReduce Framework
• Different Hadoop Distributions
Structure your learning and get a certificate to prove it.
UCICO is a small bank that wants to build a safe security system. You have create a solution which addresses fraud detection, risk management, data storage and security.
A BigBuy retail company wants to handle sensitive information of daily operations. The problem is to transform critical data into completely encrypted data.
A Glenclev clinic wants experts to analyze the data bombardments of daily transactions and to determine the deviation in patients treatment and the effect on them using data mining.
A Secretaryfin Company wants to detect the source of money laundering and constantly update the list of defaulters and flag the suspicious transactions.
A StilMarket is marketing based company who wants to know the holistic view of a customer lifetime value to increase the customer acquisition at an optimal cost.
Do you know attendance rate in all StepLeaf Live sessions is 83%?
You will never miss a class at StepLeaf. Your learning will be monitored byStepLeaf's Personal Learning Manager (PLM) and our Assured Learning Framework, which will ensure you attend all classes and get the learning and certification you deserve.
In case you are not able to attend any lecture, you can view the recorded session of the class in Edureka's Learning Management System(LMS). To make things better for you, we also provide the facility to attend the missed session in any other live batch.
Now you see why we say we are "Ridiculously Committed!"