The best 6 months Big Data Hadoop training Institute in Delhi In the current era where the world is connecting at a fast pace, a large amount of data is being created every minute. Hadoop framework provides an advantage to the companies to organize and segregate the useful data from the useless data. Storage of heavy data on computer systems is known as Big Data. Using Apache Hadoop not only saves manpower but has proved to be a cost-effective way. This well-known big data management system is now making space in most of the offices. Many companies like IBM to Amazon Web Services, Microsoft have packaged Hadoop into more easily-consumable distributions or services. Students willing to know this framework in depth can go for the best 6 months Big Data Hadoop training Institute in Delhi. In order to process the data smoothly, companies use Hadoop Software. Hadoop provides a distributed computing open source framework that manages the storage for big data applications and also data processing that is running in clustered hardware systems. Companies can save a lot of time and energy through this. This software has proven to be successful for many companies as all the Big Data workloads are optimized and organized in the right systems. It provides cost-effectiveness, scalable and systematic architecture. The Hadoop framework comprises of the following:
Hadoop Common – Contains libraries and utilities needed by other Hadoop modules like Hive and Pig.
Hadoop Distributed File System (HDFS) – It helps in storing data on commodity machines and at the same time provides a very high aggregate bandwidth across the
cluster. This helps the users to dump huge datasets into HDFS and the data will be stored there until the user wants it for analysis.
Hadoop YARN – It is responsible for managing the resources in clusters and then using them for scheduling of users' applications. It acts as a resource-management platform.
Hadoop Map Reduce– It is a programming model used for large-scale data processing.
Below mentioned are some advantages of Hadoop:
Storing and Processing Capabilities: Hadoop have the capacity to store large amounts of data and process them in no time.
High Computing Power: Hadoop comes with a perfect computing model that can process big data at a very fast pace.
Auto Backup: In case of hardware failure, data and application processing are stored automatically.
Flexibility: Hadoop provides flexibility in storing data. Any unstructured data like videos, text or images can be stored without preprocessing.
Low cost: Hadoop is an open-source framework to store large quantities of data that can be used by commodity hardware freely.
KVCH is the best and the finest training provider offering the best 6 months Big Data Hadoop training Institute in Delhi. It provides its candidates with best
possible infrastructure to make them understand the course in a much better way. Following are few reasons to join KVCH:
Experienced staff and trainers: KVCH has one of the biggest team of Certified Expert Trainers with 5 to 15 years of Real Industry Experience.
Complete Labs Assistance: Candidates will get to work on the latest software and updated technologies
Exposure through Live Projects: KVCH provides the candidates with the best opportunity to make them gain some insight into the professional world by providing them with the experience of working on Live Projects.
Overall development program: Along with the domain knowledge, the applicants will also get to groom their personality and presentation skills.
Certification: At the end of the course, candidates will get a Globally Recognized Certificate.
Placement Assistance: KVCH has a dedicated Placement Cell that provides their candidates with full placement assistance. Top companies like HCL, TCS, Tech Mahindra, CMC LTD and many more provide full support to KVCH.
Course Description
INTRODUCTION OF BIG DATA
Basics of Big data Big Data generation Big Data Introduction Big Data Architecture Understand Big data Problem Big data Management Approach traditional and Current Data storing approach Understand various data formats and data units Big data With Industry Requirements Big Data Challenges
HADOOP ENVIRONMENT
Understand Hadoop Environment requirement of hadoop Importance of Data Analytics Setting up hadoop Environment Hadoop advantages over RDMS
HADOOP CLUSTER & FILE SYSTEM
Explaining Various file systems Hdfs GFS, POSIX, GPFS explain clustering methodology Master Nodes and slave nodes
HADOOP FILE SYSTEM(HDFS) & HADOOP ARCHITECTURE
Working on hdfs File System Creating lib and accessing lib from HDFS hadoop commands make dir, delete dir etc working with the web console
HADOOP MAPREDUCE
Introduction of Map Reduce map reduce programming and word count map reduce nodes job tracker and task tracker running Map Reduce program through the web console
HADOOP JAQL
Introduction of JAQL Approach Understand information stream Understand Information ocean Working with JAQL Language
HADOOP HIVE
Understand Data Ware Housing The requirement of Data Warehousing Data Ware housing with Hive Understand the Hive environment working with Hive Query Language Perform DDL approach Through Hive Perform DML approach through Hive
Introduction of PIG Requirement of Pig Working with pig Script Running and managing Pig Script Perform Streaming Data Analytics through PIG Pig Advantages and Disadvantages
HADOOP PIG
HADOOP FLUME & SQOOP
Understand Flume methodology Requirement of flume flume advantages working lab with flume introduction of Sqoop Requirement of sqoop advantages of sqoop
HADOOP BIG R & OZIE
Introduction of BIG R Advantages of BIG R Working Lifecycle of ozie understand ozie data flow ozie setup and requirement understand ozie scheduling
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