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Development Data Science Big Data

Architecting Big Data Solutions

How to architect big data solutions by assembling various big data technologies - modules and best practices
Rating: 3.4 out of 53.4 (860 ratings)
4,739 students
Created by V2 Maestros, LLC
Last updated 1/2017
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Understand the differences between Traditional and Big Data Solutions
  • Breakdown a Big Data solution into its modules
  • Look at Technology options for each module
  • Learn the advantages, short comings and use cases for each technology option
  • Architect multiple real life use cases

Course content

11 sections • 42 lectures • 5h 24m total length

  • Preview04:26
  • Preview01:39
  • Course Slides
    00:01

  • Traditional Data Solutions
    11:34
  • Big Data Solutions
    07:57
  • Preview08:33

  • Big Data Solutions Overview
    11:53
  • Big Data Architecture Template
    06:22
  • Introduction to Technology options
    05:32
  • Challenges with Big Data Technologies
    08:55

  • Acquire - Overview
    09:42
  • Acquire options - SQL and Files
    08:23
  • Acquire options - REST and Streaming
    08:28

  • Transport - Overview
    09:55
  • Transport options - SFTP and Apache Sqoop
    11:44
  • Transport Options - Apache Flume and Apache Kafka
    10:01

  • Persistence - Overview
    09:58
  • Persistence Options - RDBMS and HDFS
    11:36
  • Persistence Options - Cassandra and MongoDB
    11:48
  • Persistence Options - Neo4j and ElasticSearch
    08:53
  • PRACTICE Exercise : Analyze a Product / Technology
    00:27

  • Transform - Overview
    10:39
  • Transform options - MapReduce and SQL
    11:12
  • Transform Options - Apache Spark and ETL products
    11:42

  • Reporting - Overview
    08:58
  • Reporting Options - Impala and Spark SQL
    07:17
  • Reporting Options - Third Party Products and Elastic
    05:53

  • Advanced Analytics - Overview
    10:01
  • Advanced Analytics Options - R and Python
    07:27
  • Advanced Analytics Options - Apache Spark and Commercial Products
    06:33

  • Use Case 1 : Enterprise Data Backup
    06:17
  • Use Case 2 : Media File Store
    07:36
  • Use Case 3 : Social Media Sentiment Analysis
    09:50
  • Use Case 4 : Credit Card Fraud Detection
    10:00
  • Use Case 5 : Operational Analytics
    11:28
  • Use Case 6 : News Articles Recommendations
    07:54
  • Use Case 7 : Customer 360
    09:47
  • User Case 8 : IoT - The connected car
    08:05
  • PRACTICE Exercise : Architect a Spam Classification solution
    00:58

Requirements

  • Familiarity with programming and IT in general

Description

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.

Who this course is for:

  • Anyone interested in Big Data
  • Software Architects
  • Students in IT
  • Professional preparing for Big Data interviews

Instructor

V2 Maestros, LLC
Big Data / Data Science Experts | 50K+ students
V2 Maestros, LLC
  • 4.1 Instructor Rating
  • 3,395 Reviews
  • 72,250 Students
  • 8 Courses

V2 Maestros is dedicated to teaching big data / data science courses to students all over the world.  Our instructors have real world experience practicing big data and data science and delivering business results. Big 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 Big Data and Data Science talent across the world.

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