Leverage Big Data With Hadoop Analytics - Ravi Namboori

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Leverage Big Data With Hadoop Analytics
Presentation by Ravi Namboori Visit us _at_
http//ravinamboori.in
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Big Data

• Big data is really big, reaping value from lots
  of data is a real challenge for enterprise that
  practice Big data.
• Enterprises are collecting huge amount of data
  from various sources, but failing to evaluate it
  properly and use it for data analytics and
  business decisions.
• It is necessary for enterprises to analyze the
  data efficiently and derive workable business
  strategies that drives business performance.
• Big data can be best leveraged with efficient
  predictive analytics tools and gain deeper
  insights in to customer preferences and market
  dynamics.

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Hadoop

• Hadoop is java based open-source software
  framework that allows users to store and process
  large sets of data in distributed environment by
  making use of simple programming models.
• Hadoop has introduced large amount of tools that
  enables global enterprises to reap the real value
  from the Big data analytics.

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Apache Spark

• Apache Spark is an open-source in-memory data
  processing engine built to enable data scientists
  to efficiently implement fast iterative
  algorithms for sophisticated analytics
  capabilities.
• Spark running on Apache Hadoop YARN empowers
  developers to create applications that exploits
  real power of Big data and gain deeper insights
  in to business.
• Spark enriches the data science workloads
• It significantly enhances the productivity of
  data scientists

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IBM BigInsights

• IBM BigInsights is an industry standard
  open-source software that helps enterprises to
  efficiently manage and analyze the big data while
  lowering costs.
• Supports big data analysis with advanced
  analytics developed on Hadoop technology
• Delivers performance and ensures security to
  on-premise deployments in enterprise
  infrastructure
• It brings enhanced performance and usability of
  tools
• Increases security and reliability in large scale
  deployments

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Kudu

• Kudu is a new Hadoop storage engine that provides
  fast analytics combined with real-time
  capabilities in Hadoop.
• Empowers developers to efficiently execute wide
  range of activities such as online reporting,
  time series analysis and machine data analytics.
• It efficiently detects real-time frauds
• Brings online market data reporting capabilities
• Helps business managers to promote loyalty offers
  based on the location

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Map Reduce

• MapReduce is a software framework enables
  developers to write applications that process
  large sets of unstructured and structured data
  stored in Hadoop Distributed File System (HDFS).
• It makes the job easy for developers by allowing
  them to write applications in their language of
  choice which includes Java, python or C.
• It efficiently manages task scheduling,
  monitoring and re-schedules the failed tasks.
• Scalability and speed are the prime factors that
  MapReduce brings to enterprises.

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Thank you
Presentation by Ravi Namboori Visit us _at_
http//ravinamboori.in