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Architecting Big Data Solutions - Use Cases and Scenarios

Kumaran Ponnambalam, Dedicated to Data Science Education

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37 Videos (5h 21m)
    • Intro to ABDS

      4:26
    • Traditional Data Solutions

      11:34
    • Big Data Solutions

      7:57
    • Current Big Data Trends

      8:33
    • Intro to Big Data Solutions

      11:53
    • Architecture template

      6:22
    • Intro to Technology options

      5:32
    • Challenges with Big Data Technologies

      8:55
    • Acquire overview

      9:42
    • Acquire options SQL and Files

      8:23
    • Acquire Options REST and Streaming

      8:28
    • Transport Overview

      9:55
    • Transport Options SFTP and Sqoop

      11:44
    • Transport Options Flume and Kafka

      10:01
    • Persistence Overview

      9:58
    • Persist Options RDBMS and HDFS

      11:36
    • Persist Options Cassandra and MongoDB

      11:48
    • Persist Options Neo4j and ElasticSearch

      8:53
    • Transformation module

      10:39
    • Transform Options MapReduce and SQL

      11:12
    • Transform Options Spark and ETL Products

      11:42
    • Reporting module

      8:58
    • Reporting Options Impala and Spark SQL

      7:17
    • Reporting Options Third Party and Elastic

      5:53
    • Advanced Analytics Overview

      10:01
    • Advanced Analytics Options R and Python

      7:27
    • Advanced Analytics Apache Spark and Commerical Software

      6:33
    • Use Case 1 Enterprise Data Backup

      6:17
    • Use Case 2 Media File Store

      7:36
    • Use Case 3 Social Media Sentiment Analysis

      9:50
    • Use Case 4 Credit Card Fraud Detection

      10:00
    • Use Case 5 Operations Analytics

      11:28
    • Use Case 6 News Articles Recommendations

      7:54
    • Use Case 7 Customer 360

      9:47
    • Use Case 8 IOT Connected Car

      8:05
    • Transitioning to Big Data

      3:23
    • Closing Remarks ADBS

      1:38

About This Class

The Big Data phenomenon is sweeping across the IT landscape. New technologies are born, new ways of analyzing data are created and new business revenue streams are discovered every day. If you are in the IT field, Big data should already be impacting you in some way. 

Building Big Data solutions is radically different from how traditional software solutions were built. You cannot take what you learnt in the traditional data solutions world and apply them verbatim to Big Data solutions. You need to understand the unique problem characteristics that drive Big Data and also become familiar with the unending technology options available to solve them.

This course will show you how Big Data solutions are built by stitching together big data technologies. It explains the modules in a Big Data pipeline, options available for each module and the Advantages, short comings and use cases for each option.

This course is great interview preparation resource for Big Data ! Any one - fresher or experienced should take this course.

Note: This is a theory course. There is no source code/ programming included.

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Kumaran Ponnambalam

Dedicated to Data Science Education

V2 Maestros is dedicated to teaching data science at affordable costs to the world. Our instructors have real world experience practicing data science and delivering business results. Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building data science talent across the world.

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