• Database Training

    databaseInterSource offers live instructor-led courses on all important database programming technologies, including Crystal Reports, Microsoft Access, MySQL, Oracle, SQL, SQL Server, SSAS, SSIS, SSRS and Xcelsius.

    These live classes are offered both on client sites, at our Geneva training center, and via a Web interface.

  • About Database

    A database is a collection of data stored and maintained for one or more uses. Most modern databases are managed by a Database Management System (DBMS), a set of computer programs that controls the creation, maintenance, and the use of the database with computer as a platform or of an organization and its end users. It allows organizations to place control of organization-wide database development in the hands of database administrators (DBAs) and other specialists.

    The proper integration of databases can dramatically increase the functionality of all types of applications, whether or not Web-enabled.

    Read More
  • Course Details Database

    Classes are offered at client sites, at our Geneva training center, and via a live web conference. For detailed course outlines and scheduled classes, please see below.

    To book training, navigate to the course you need, then:

    • For scheduled online classes, register from the choices indicated.
    • If you need an alternative dates, time or location, or if you want a live classroom course, click on “request an offer for this course,” to complete the form.

    InterSource clients are active globally. Live web courses run during Eastern Standard Time (New York) business hours and are priced in US dollars.

    We also run live web conference classes during European business hours, which can be invoiced in local currencies. To discuss your requirements please contact us on +41 (22) 958 0114.

Introduction to Big Data

Course duration

  • 3 days

Course Benefits

  • Store, manage, and analyze unstructured data
  • Select the correct big data stores for disparate data sets
  • Process large data sets using Hadoop to extract value
  • Query large data sets in near real time with Pig and Hive
  • Plan and implement a big data strategy for your organization

Course Outline

  1. Introduction to Big Data
    1. Defining Big Data
      1. The four dimensions of Big Data: volume, velocity, variety, veracity
      2. Introducing the Storage, MapReduce and Query Stack
    2. Delivering business benefit from Big Data
      1. Establishing the business importance of Big Data
      2. Addressing the challenge of extracting useful data
      3. Integrating Big Data with traditional data
  2. Storing Big Data
    1. Analyzing your data characteristics
      1. Selecting data sources for analysis
      2. Eliminating redundant data
      3. Establishing the role of NoSQL
    2. Overview of Big Data stores
      1. Data models: key value, graph, document, column–family
      2. Hadoop Distributed File System
      3. HBase
      4. Hive
      5. Cassandra
      6. Amazon S3
      7. BigTable
      8. DynamoDB
      9. MongoDB
      10. Redis
      11. Riak
      12. Neo4J
    3. Selecting Big Data stores
      1. Choosing the correct data stores based on your data characteristics
      2. Moving code to data
      3. Messaging with Kafka
      4. Implementing polyglot data store solutions
      5. Aligning business goals to the appropriate data store
  3. Processing Big Data
    1. Integrating disparate data stores
      1. Mapping data to the programming framework
      2. Connecting and extracting data from storage
      3. Transforming data for processing
      4. Subdividing data in preparation for Hadoop MapReduce
    2. Employing Hadoop MapReduce
      1. Creating the components of Hadoop
      2. MapReduce jobs
      3. Executing Hadoop
      4. MapReduce jobs
      5. Monitoring the progress of job flows
    3. The building blocks of Hadoop MapReduce
      1. Distinguishing Hadoop daemons
      2. Investigating the Hadoop Distributed File System
      3. Selecting appropriate execution modes: local, pseudo–distributed and fully distributed
      4. Accelerating process with Spark
    4. Handling streaming data
      1. Comparing real–time processing modelsLeveraging Storm to extract live events
      2. Leveraging Spark Streaming to extract live events
      3. Combining streaming and batch processing in a Lambda architecture
  4. Tools and Techniques to Analyze Big Data
    1. Abstracting Hadoop MapReduce jobs with Pig
      1. Communicating with Hadoop in Pig Latin
      2. Executing commands using the Grunt Shell
      3. Streamlining high–level processing
    2. Performing ad hoc Big Data querying with Hive
      1. Persisting metadata in the Hive Metastore
      2. Performing queries with HiveQL
      3. Investigating Hive file formats
    3. Creating business value from extracted data
      1. Mining data with Mahout
      2. Visualizing processed results with reporting tools
      3. Querying in real time with Impala
  5. Developing a Big Data Strategy
    1. Defining a Big Data strategy for your organization
      1. Establishing your Big Data needs
      2. Meeting business goals with timely data
      3. Evaluating commercial Big Data tools
      4. Managing organizational expectations
    2. Enabling analytic innovation
      1. Focusing on business importance
      2. Framing the problem
      3. Selecting the correct tools
      4. Achieving timely results
    3. Implementing a Big Data Solution
      1. Selecting suitable vendors and hosting options
      2. Balancing costs against business value
      3. Keeping ahead of the curve

Class Materials

Each student will receive a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Hadoop class:

  • Working knowledge of the Microsoft Windows platform and basic database concepts.
Since its founding in 1995, InterSource has been providing high quality and highly customized training solutions to clients worldwide. With over 500 course titles constantly updated and numerous course customization and creation possibilities, we have the capability to meet your I.T. training needs.
Instructor-led courses are offered via a live Web connection, at client sites throughout Europe, and at our Geneva Training Center.