big-data-and-hadoop

Big Data and Hadoop

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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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I had an opportunity to attend PgMP Boot Camp organized by Addon Skills and PMI Pune Deccan chapter. This training was not only instrumental in me being able to clear the PgMP exam with flying colors but also to have gained immense knowledge on the subject. The relentless work ethics demonstrated by Addon Skills is unparalleled. They have been constantly motivating & supporting throughout my journey of certification. I highly recommend them for PMP/PgMP/PfMP and other Project Management certifications. Thank you Addon Skills!!!

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Recently, I undertook training program with Addon Skills in Program Management to build and equip skills to appear for PgMP certification. I have sixteen plus years of experience in IT and have been attending several training courses, I am not so very easily impressed, reserved with my praise, and do not usually complete surveys. But, Addon Skills and its instructor Kailash Upadhyay were excellent, his knowledge combined with his experience on the subject could be rated as one among the "best in the industry" and certainly the best experience I had so far. His passion towards the subject, and the concern he had for the attendees taking training were impeccable. The best part was that the course does not stop with training, but post training , Addon Skills set up technical discussion forum, built and shared very good study materials, videos, trail question banks, couple with many sample scenarios, these clubbed with availability of trainer for any questions gives the extra advantage and make you feel comfortable that you are not left alone. Kailash with his knowledge had seamlessly walked all of us (my training batch mates) through the breadth of information even though it was remote environment. He did a fabulous job pacing everything and addressing all the questions/queries raised by the participants. I bet my 10cents on Addon Skills and its Trainer Kailash U, Addon Skills is my GoTo place for any of the management training, consultations for setting up or transforming your program to success.

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I highly recommend AddOnSkills as a training, course and support provider for passing your PfMP. All of the materials are comprehensive, the preparation course is extensive and covers various topics not only to help you pass the exam, but most of all to be a better Portfolio Manager. Kailash has a great knowledge and teaching skills, his support (and the support of the entire AddOnSkills team) cannot be overestimated. The support and motivation, that I have received all the way durning my exam preparation has helped me to pass and gain the certification in the first attempt. If you consider any training provider for your PMI certification - do not hesitate anymore - AddOnSkills is your guarantee for success!

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