Big Data Hadoop Certification | Hadoop Online Training by Vinsys

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Domain / Vendor

big data hadoop certification

Course includes 40 hours of Virtual or Instructor-led Training

Real-life industry projects using Hadoop Training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark

Getting hands-on practice on CloudLab through <em>Big Hadoop Data Training</em> camp

Big Data Hadoop Certification is globally accepted

Overview Who Should Attend Prerequisite Outline

Course Overview

Explore the core fundamental concepts of big data
Nurturing in-depth knowledge and scrutinizing the big data domain
Analyze the big data using intelligent techniques throughHadoop Training Program
Discovering various search methods and visualization techniques
Implementing various techniques for mining data stream
Getting assistance fromBig Data Hadoopfor Map Reducing Concepts
Creating an effective solution for problems that are conceptually and practically from diverse industries, such as government manufacturing, retail, education, banking/ finance, healthcare and pharmaceutical
Utilization of advanced tools/ decision-making tools/ operation research techniques to analyze the complex problems and get ready to develop such new techniques for the future

Who Should Attend?

This is a beginner’s course in the field of Big Data. In this training, you will get a clear understanding of what Big Data is, what its composition is, how Hadoop is the best tool to work on Big Data, the various components of the Hadoop ecosystem like MapReduce, HDFS, Hive, Pig, Sqoop and other tools and technologies..

IT, mainframe, data professionals
Project managers, software architects
Programming Developers
Experienced working professionals
Project managers
Mainframe Professionals, Architects & Testing Professionals
Business Intelligence, Data warehousing and Analytics Professionals
Graduates, undergraduates eager to learn the latest Big Data technology can take this Big Data Hadoop Certification online training

Eligibility Criteria

Candidates aspiring to learn Big Data need to have prior knowledge of SQL and Core Java.

Course Outline

Data Ingest

The skills to transfer data between external systems and your cluster
Import and export data between an external RDBMS and your cluster, including the ability to import specific subsets, change the delimiter and file format of imported data during ingest, and alter the data access pattern.
Ingest real-time and near-real time (NRT) streaming data into HDFS, including the ability to distribute to multiple data sources and convert data on ingest from one format to another
Load data into and out of HDFS using the Hadoop File System (FS) commands

Transform, Stage, Store

Convert a set of data values in a given format stored in HDFS into new data values and/or a new data format and write them into HDFS or Hive/HCatalog
Convert data from one file format to another
Convert data from one set of values to another
Change the data format of values in a data set
Partition an existing data set according to one or more partition keys

Data Analysis

Filter, sort, join, aggregate, and/or transform one or more data sets in a given format stored in HDFS to produce a specified result. The queries will include complex data types. The implementation of external libraries, partitioned data and require the use of metadata from Hive/HCatalog.
Write a query to aggregate multiple rows of data
Write a query to calculate aggregate (e.g., average or sum)
Write a query to filter data
Write a query that produces sorted data
Write a query that joins multiple data sets
Read and/or create a Hive or an HCatalog table from existing data in HDFS

Workflow

The ability to create and execute various jobs and actions that move data towards greater value and use in a system
Create and execute a linear workflow with actions that include Hadoop jobs, Hive jobs, Pig jobs, custom actions, etc
Create and execute a branching workflow with actions that include Hadoop jobs, Hive jobs, Pig jobs, custom action, etc
Orchestrate a workflow to execute regularly at predefined times, including workflows that have data dependencies

Mr. Jayvant Desale

SME

Hortonworks Certified Apache Hadoop 2.0 Developer,certified MapR Developing Hadoop Applications

Course Advisor

SME with an uncanny ability to slide into any domain/technology and quickly carve out workable IT solutions that create value. Has 13 years of proven track record in Enterprise-class Product Development for complex verticals, such Banking (FI and Payment Gateways), IT Governance & Management, Manufacturing, and Pharmaceuticals. Currently engaged in the field of Big Data Solutions - Committed to enabling IT teams in the deployment of Big Data Technologies, by the way of training, consulting, and architecting solutions on Apache stack: Hadoop and No-SQL

Choose Your Preferred Mode

ONLINE TRAINING

1-day Instructor-led Online Training
Experienced Subject Matter Experts
Approved and Quality Ensured Training Material
24*7 Leaner Assistance And Support

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CORPORATE TRAINING

Customized Training Across Various Domains
Instructor-Led Skill Development Program
Ensure Maximum ROI for Corporates
24*7 Learner Assistance and Support

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FAQ’s

Why Choose Vinsys as a Learning Partner?

Vinsys is a great platform for professional learning courses as well as certifications. Having a massive 22+ years of experience in the industry, Vinsys is equipped with world-class trainers, infrastructure, and highly learned trainers in order to provide a complete package of certification courses that establish a high success ratio in certification exams. We help a candidate throughout the process and provide post-certification assistance too which is why our training are highly rated.

Some of the key features of our training are: