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Timestone

Timestone

1000 Escalon Ave , K 1081 ,Sunnyvale,94085,California
Mode: Inclass
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        1000 Escalon Ave , K 1081 ,Sunnyvale,94085,California, Sunnyvale, CA

        Some amazing things about us you should know.

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        About Timestone

        BigData Courseware 
        Bridging the gap

        Big Data Developer Topics 
        Objectives:

        • Big Data concepts and architecture
        • MapReduce in depth study and common design patterns
        • Developing real world applications using Hadoop
        • Understand NoSQL datastores
        • Data Analytics and data mining concepts
        • Rapid application development on hadoop 

        For more info visit

        1. Big data basics

        • Why study big data
        • Concepts common to all big data systems
        • Common terms used in the industry
        • Big data landscape today

        2. Hadoop ecosystem

        • Hadoop overview
        • What is behind widespread adoption of hadoop
        • Historic perspective
        • Hadoop distributions in market
        • Hadoop architecture
        • Deployment view

        3. Hadoop HDFS

        • HDFS overview
        • HDFS internals in brief
        • HDFS high availability
        • Command line access to HDFS

        4. Input / Output Formats

        • Understand popular file formats
        • Sequence file details
        • Data serialization and deserialization
        • APIs supported and best practices

        5. Map-Reduce basics

        • Map-Reduce Overview
        • Mapper concepts
        • Reducer concepts
        • Writing simple map-reduce jobs
        • Executing Map-Reduce on a cluster
        • Rapid Application Development

        6. Map-Reduce deep dive

        • Practitioner and Combiner
        • Shuffle
        • Primary and Secondary Sort
        • Speculative Execution
        • Distributed Cache
        • Map Reduce Counters

        7. Map-Reduce Design patterns

        • Map Only joins
        • Reduce only joins
        • Filtering
        • Applying Secondary Sort
        • Total Order Sorting

        8. Unit testing and troubleshooting

        • Unit test frameworks Overview
        • Writing tests using MRUnit
        • Local mode execution
        • End-end testing
        • Debugging applications

        9. Building Application using Hadoop

        • Real world use case
        • Develop map-reduce application applied to use case
        • Local mode execution
        • Deploy in a cluster environment
        • Monitor and troubleshoot application deployment

        10. NoSQL Datastores

        • NoSQL database Concepts
        • Overview of HBase, Cassandra, Voldemort
        • Deep dive into HBase
        • Case Study using HBase

        11. Big data analytics and data mining

        • SQL on Hadoop
        • Data mining using hive
        • Data visualization
        • Real time Big Data SQL
        • Introduction to Cloudera Impala

        12. Recap and topics of interest

        • Recap course material
        • Big Data Best practices
        • Student Presentations
        • Review topics of interest

        Big Data Advanced Topics 
        Objectives:

        • Focus on real world frameworks and applications
        • Understand abstractions built on top of hadoop to speed up development
        • Workflow management
        • Tuning hadoop
        • Learn how to evaluate and apply big data technologies towards business problems
        • Hadoop in real time data processing applications
        • Machine learning and predictive analytics 

        For more info visit

        1.Big data frameworks and applications (1)

        • Map-Reduce jobs in other programming languages
        • Open source map-reduce application frameworks
        • Aspects of real world big data applications
        • Big data application case study
        • Begin project work

        2. Big data frameworks and applications (2)

        • Introduction to Cascading
        • Implement case study within cascading
        • Apache zookeeper and how it simplifies applications
        • Introduction to spark
        • Spark Case Study

        3. Workflow and resource management

        • Workflow scheduler systems
        • Using apache Oozie
        • Azkaban project
        • Introduction to Mesos

        Big data in real time

        • Storm overview
        • Storm with hadoop
        • Adding Search to hadoop
        • Case studies

        5. Data mining techniques

        • Machine learning
        • Predictive analytics
        • Structured vs unstructured data mining

        6. Real world projects and recap

        • Big data protocol stacks: Best practices
        • Tuning hadoop
        • Troubleshooting large clusters
        • Student project presentations

        Timestone Training Courses

        • -
        • Bigdata Hadoop

        • 1

        Business highlights

        • IT Professionals as Trainers

          Learning a technology with a professional who is well expertise in that solve 60% of your needs.

        • Hands-on Training

          We support any training should be more practical apart from theoretical classes. So, we always give you hands-on training.

        • Affordable Fees

          We are dead cheap in fees. We are having options to make the payment in instalments as well if needed.

        • 10000+ old students to believe

          We satisfied 10000+ students from the day we started GangBoard

        • Counselling by Experts

          We have every course material to understand which is prepared by our trainers and we will share with you after session completes.

        • Own Course Materials

          We have every course material to understand which is prepared by our trainers and we will share with you after session completes.

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