big-data-and-hadoop

Big Data and Hadoop

OUR ALUMNAE

Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
Ashish Shah PfMP results
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DESCRIPTION

Hadoop is an open source programming framework based on Java. It has been developed primarily for storing & processing extremely large unstructured data in a distributed computing environment. With Hadoop, applications can be run on thousands of distributed commodities hardware called as nodes and can handle thousands of terabytes. Its distributed file system facilitates very fast data transfer rates among nodes over network. The inbuild redundancy allows to recover from node failures.

Hadoop has emerged as the foundation of big data and its processing such as analytics, handling humongous amount of data generated from internet of things (IoT) sensors.

  • Master fundamentals of Hadoop 2.7 and YARN and write applications using them
  • Setting up Pseudo node and Multi node cluster on Amazon EC2
  • Master HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, Zookeeper, HBase
  • Learn Spark, Spark RDD, Graphx, MLlib writing Spark applications
  • Master Hadoop administration activities like cluster managing,monitoring,administration and troubleshooting
  • Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc
  • Detailed understanding of Big Data analytics
  • Hadoop testing applications using MR Unit and other automation tools.
  • Work with Avro data formats
  • Practice real-life projects using Hadoop and Apache Spark
  • Be equipped to clear Big Data Hadoop Certification.

Hadoop

        + Hadoop Distributed File System (HDFS) – storing data across thousands of commodity servers with high data transfer rate supported. 

        + Hadoop's Yet Another Resource Negotiator (YARN) – resource management & scheduling for user applications.

        + MapReduce – programming interface to handle large distributed data processing – mapping data and reducing it to result.

HBase – An open source, nonrelational, distributed database.

Apache Flume – Collect, aggregate, and move huge volume of streaming data into HDFS.

Apache Hive – A data warehouse data provides data summarization, query, and analysis. 

Apache Pig – A high level open source platform for creating parallel programs that run-on Hadoop.

Apache Sqoop – A tool to transfer bulk data between Hadoop and structured data stores (RDBMS) 

Apache oozie – Workflow scheduler for managing Hadoop jobs. 

Apache Spark – A fast engine for big data processing capable of streaming and supporting SQL, Machine Learning, and graph processing. 

Apache Zookeper – An open source configuration, synchronization, and naming registry service for large distributed systems. 

NoSQL – “Not only” or “Non-relational” SQL for storage and retrieval of data which is modelled unlike tabular relations as in relational databases. 

        + Cassandra or MongoDB

We will share the reading material before the lectures
  • Java
  • Basics of Linux

FREQUENTLY ASKED QUESTIONS

What is Big data?

Big Data is defined as a large volume of both structured and unstructured raw data that inundates an enterprise on a day-to-day basis. By using Big Data you can take data from any source and examine it to find answers like cost reductions, new product development, time reductions and smart decision making.

What are the best certifications for Hadoop?

There are several top-grade big data vendors like Cloudera, Hortonworks, IBM, and MapReduce offering Hadoop Developer Certification and Hadoop Administrator Certification at different levels.

Do I have to be certified in Big Data and Hadoop?

Whether youre job hunting, waiting for a promotion, third-party proof of your skills is a great option. Certifications measure your skills and knowledge against industry to unlock great career opportunities as a Hadoop developer and to become an expert in Big Data Hadoop.

Is Java covered as part of this Big Data Hadoop course?

The total part of the Java is not covered in Big Data Hadoop course, the concepts which are required for understanding Big Data Hadoop course topics are covered.

What is MapReduce?

MapReduce is the heart of Hadoop. The MapReduce concept is simple to understand for those who are close with clustered out data processing solutions. It is the programming pattern that allows across hundreds or thousands of servers in a Hadoop cluster.

What is Cloud Lab?

Cloud Lab is a meta-cloud used in building cloud computing applications. This feature also allows users to store variables in the cloud. Cloud variables determine regular variables that have the characters in front of them.

What is HDFS?

The Hadoop Distributed File System (HDFS) is one of the most crucial topics of Apache Hadoop. It is the primary storage system used by Hadoop applications. HDFS is known as a Java-based file system that provides reliable data storage and high-performance access to data across Hadoop clusters.

What is Apache Flume?

Apache Flume is a reliable, distributed, and available service for aggregating, efficiently collecting and moving large amounts of streaming data into the Hadoop Distributed File System (HDFS).

What is Apache Hive?

Hive is a component of Hortonworks Data Platform (HDP). Apache Hive provides an SQL-like interface to store data in HDP. A command line tool and JDBC driver are used to connect users to Hive.

What is Sqoop

Sqoop is a tool designed to carry bulk data between Hadoop and database servers. It is also used to import data from databases such as Oracle to Hadoop HDFS, MySQL to Hadoop file system.

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Our Testimonials

Sanjeev Kumar

Big thanks to Addon Skills Team for the tremendous support provided during my certification journey of 3 months. This was the best training I have ever attended. You guys managed to build up my confidence and knowledge from Day 1 of Training to the day I went for exam :) which has resulted to pass the exam so smoothly in First attempt itself. Thanks for all your guidance and coaching, without your support my this journey wouldn’t have been possible.

Shubham Maurya

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Sachin Shirke

I was fortunate to be well trained by Addon Skills team for PgMP certification and well supported me during my journey of achieving PgMP. They have a skilled professional trainer who understands your issues and makes you comfortable while imparting complex knowledge. The best part of Addon Skills team is the total commitment towards your success. Even after training, they kept in touch with me to check on my progress and any queries I had and ensured I am focused on achieving PgMP. From the first day, they provided me tremendous confidence booster till the last day. Considering the complexity of PgMP I never imagined that my journey will be so much fun, fruitful and enriching.

Swapnil Malgaonkar

I have attended Addon Skills PgMP classroom training in Jan'17 and cleared PgMP in March'17. Addon Skills training is completely different than other training institutes I attended. Addon Skills stresses on concept understanding than mugging up or remembering. Their perseverance is commendable and will not leave your back unless you understand the concept. Even the notes are excellent in terms of the mapping of different processes of the standards. I recommend all the aspirants of PMP and PgMP that if you want knowledge as well as 100% result Addon Skills is one of the Best.

Nitin Rai

Addon Skills sheer committment anf focused approach toward each and every aspirant ensures every aspirant achieve their goal. I must say their overall training approach, study materials, question bank, post training support helped me alot in my journey of PgMP certification. Best part of joining your course is that you will get introduced to multiple aspirant who have same goal as you and interaction with same group help you to not only clear your doubt and query but also stay motivated and focused for exam, Also the process of un-learn few of our way of doing things and re-learn few new things as per PMI way. This is where your help comes very handy. Lastly, I want to wish all the very best to all PgMP aspirant.

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