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

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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.

Manali Khimasia

Attending Addon Skills PgMP certification course gave me a lot of confidence for attempting the exam and I successfully cleared the exam on my first attempt. The course material was thorough and all important concepts were explained in detail during the 3 days training. The best part about Addon Skills was that the training was not limited to 3 day classroom session. Another 10 online sessions were conducted to discuss questions and clear doubts. We were also provided with videos, question banks and highlights of important concepts and likely questions from SPMv3. Besides, Kailash personally reviewed each of our applications multiple times and gave valuable feedback for improvements till it was ready for submission. I strongly recommend Addon Skills for professional certification preparation courses since they provide complete guidance and support till the date you take your certification exam.

Sureshkumar Somanathan

I have attended PgMP virtual session from Addon Skills during Feb end. It was wonderful and their expert trainer explained with real time examples which give a lot of insight on Program management. I would like to thank Addon Skills for their support and direction to clear my PgMP exam. They identified my gaps and asked me to focus the areas which required more attention. Without Addon Skills support and perseverance, it would not be possible for me to clear the exam in 2 months effort.

Jayshankar Prasad Singh

I am very pleased to share that I have successfully obtained Program Management Professional (PgMP) Credential in my first attempt. PgMP in 2 months, it is indeed a great journey. I attended PgMP certification training from the Addonskills. Most of my success credit goes to Addonskills team to make it so easy for me. Addon Skills training, question banks, ECO sessions helped me a lot. The training helped me to build my concepts, clarify doubts and understood some of the actions in sequences. I will say Questions from questions banks were very close to exam questions. I highly recommend Addonskills for all kind of project /program management training.

Raviraj Mundhe

Thank you Addon Skills. Your training programme and training material/notes were very useful and helped me prepare and pass the exam. The support system even after the training is what helps aspirants focus their strategies. Thank you very much for your mentoring support and wish the entire team good luck with the certification training workshops.

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