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Hadoop

Hadoop

bigdata training at pivotalsoft

Hadoop is computer software used to process data. Hadoop is open-source software, freely available for anyone to use, that can be scaled for use with small datasets on only a few computers to massive ones using large clusters of computers. The beauty of Hadoop is that it is designed to recognize and account for hardware failures. It adjusts processing load to available resources, reducing downtime. The Hadoop software library is developed and maintained by the The Apache Hadoop project and major companies around the world use the software for both internal and customer-facing applications. Major companies using Hadoop include Adobe, Ebay, Facebook, IBM and more.

About Hadoop Certification Training Course

Everywhere you look today, enterprises are embracing big data-driven customer relationships and building innovative solutions based on insights gained from data. According to IBM, every day we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals, just to name a few. This data is big data. The demand for storing this unprecedented amount of information is enough of a challenge, but when you add the need for analytics, the technology requirements truly start pushing the envelope on state-of-the-art IT infrastructures. Fortunately, the Open Source community has stepped up to this challenge and developed a storage and processing layer called Apache Hadoop. Add the dozens of other projects integrating with Apache Hadoop and you have the whole Hadoop ecosystem. This course is perfect for IT professionals seeking a high-level overview of Hadoop, and who want to find out if a Hadoop-driven big data strategy is the right solution to meet their data retention and analytics needs. This course will also help anyone who wants to set up a small-scale Hadoop test environment to gain experience working with this exciting open source technology.

WHAT YOU WILL LEARN:

  • Design distributed systems that manage "big data" using Hadoop and related technologies.
  • Analyze relational data using Hive and MySQL
  • Query data interactively with Drill, Phoenix, and Presto
  • Choose an appropriate data storage technology for your application
  • Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
  • Choose an appropriate data storage technology for your application
  • Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto
  • Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie
  • Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
  • Consume streaming data using Spark Streaming, Flink, and Storm
 Download Complete Curriculum

TOPICS INVOLVED:

  • Introduction to Hadoop
  • Introduction to Big Data
  • Hadoop Distributed File System (HDFS)
  • Map Reduce Programming – Java Programming
  • NOSQL
  • HBase
  • Hive
  • Pig
  • SQOOP
  • HCatalog
  • Flume
  • More Ecosystems
  • Oozie
  • SPARK
 Still Have Doubts? Contact Us @9949645451

PREREQUISITES FOR HADOOP:

  • there are no prerequisites for mastering Hadoop. All you need is interest and capacity to absorb substantial knowledge and implement likewise. Students preferably from science background will find it easy to grasp the nuances of this subject matter, nevertheless it won’t be too difficult for others to tackle.

ABOUT OUR FACULTY:


 Best Bigdata  trainings

For the training of the Bigdata Hadoop we have one of the best teacher for it who has an experience for about 12 years. And has been in this teaching profession for 12 years and is an expert in Bigdata Hadoop. He has undertaken a lot of projects and worked upon those projects. All the projects he has undertaken has been delivered successfully and by getting good feedbacks for it.

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