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Essentials to Data Analytics the Big Data Hadoop (1)

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Big Data describes the amount of data that is too large and complex to be handled with traditional software tools. It relates to data creation, storage, retrieval and analysis that is unique in terms of volume, velocity and variety. Madrid Software Trainings in association with industry experts provides complete practical Big Data Hadoop Training in Delhi. – PowerPoint PPT presentation

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Title: Essentials to Data Analytics the Big Data Hadoop (1)


1
  • Essentials to Data Analytics the Big Data Hadoop
  • We live in a world that is driven by data. How an
    organization defines its data strategy and
    approach to it makes a great deal of difference
    to be able to compete in future.
  • Big Data describes the amount of data that is too
    large and complex to be handled with traditional
    software tools. It relates to data creation,
    storage, retrieval and analysis that is unique in
    terms of volume, velocity and variety. Madrid
    Software Trainings in association with industry
    experts provides complete practical Big Data
    Hadoop Training in Delhi.
  • Volume The scale of the information processed
    helps define big data systems. Because the work
    requirements exceed the capabilities of a single
    computer, this becomes a challenge of pooling,
    allocating, and coordinating resources from
    groups of computers.
  • Velocity It is the speed that information moves
    through the system. Data is frequently flowing
    into the system from multiple sources and is
    often expected to be processed in time to gain
    understanding and update the current vision of
    the system.
  • Variety Data can be ingested from internal
    systems like application and server logs, from
    social media feeds and other external APIs, from
    physical device sensors, and from other
    providers. Big data seeks to handle potentially
    useful data regardless of where it's coming from
    by conjoining all information into a single
    system.
  • Activities Involved in Big Data Processing
  • Ingesting data into the system
  • Obtaining the data into storage
  • Computing and analyzing data
  • Foreseeing the results
  • With Big Data databases, enterprises can save
    money, increase revenue and achieve other
    business goals
  • Build new applications- Big Data allows a company
    to collect billions of real time data points on
    its resources or customers and then repackage
    the data to optimize customer experience or
    utilizing the resources.
  • Lower the cost- Big Data technologies can replace
    the expensive systems with the standard
    solutions. Many Big Data technologies are open
    source and therefore can be implemented at a low
    cost.

2
  • Types of Big Data Technology
  • Operational Technology- Operational system
    provides operational capabilities for real time
    workloads where data is primarily captured and
    stored. It includes customer, inventory and
    purchase data. This system supports high volume
    low latency access. One such example is NoSQL
    databases.
  • Analytical Technology- Analytical systems provide
    analytical capabilities for complex analysis that
    may touch most or all of the data. Analytical
    Data is used to make business decisions.
  • Organizations are increasingly turning to big
    data to discover new ways to improve
    decision-making, opportunities, and overall
    performance. For example, big data can be
    optimized to address the challenges that arise
    when information that is dispersed across several
    different systems that are not connected by a
    central system. By assembling data across
    systems, big data can help improve decision-
    making capability. It also can augment data
    warehouse solutions by serving as a buffer to
    process new data for inclusion in the data
    warehouse. Madrid Software Trainings is rated as
    the best Hadoop institute in Delhi.
  • Big data can lead to improvements in overall
    operations by giving organizations greater
    visibility into operational issues. Operational
    insights might depend on machine data, which can
    include anything from computers to sensors or
    meters to GPS devices. Big data provides
    unprecedented insight on
  • customers decision-making processes by allowing
    companies to track and analyze shopping patterns,
    recommendations, purchasing behavior and other
    drivers that are known to influence sales.
  • Cyber security and fraud detection is another use
    of big data. With access to real-time data,
    businesses can enhance security and intelligence
    analysis platforms. They can also process, store
    and analyze a wider variety of data types to
    improve intelligence, security and law
    enforcement.
  • When you are talking about Big Data, you cannot
    help include Hadoop an open source software
    platform managed by the Apache Software
    Foundation. It helps to store and manage vast
    amounts of data efficiently and cheaply.
  • Hadoop has two main parts
  • Data processing framework- this is the Java based
    system known as MapReduce
  • Distributed file system for data storage
  • Hadoop Training in Gurgaon
  • A comprehensive Hadoop Big Data training course
    designed by industry experts provides an in-depth
    learning on big data and Hadoop Modules.
  • What will you learn in the course?

3

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.
  • Before the Big Data training, you should be
    familiar with the basics of UNIX, SQL and Java.
    If you are brushed up with these skills, it will
    be convenient on your Hadoop learning. For more
    details please visit- https//www.madridsoftwaret
    rainings.com/hadoop.php
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