Understanding Tool Integration for Big Data Architecture
Video description
In this course, you’ll learn how to integrate Hadoop components to implement big data solutions for a variety of use cases, including clickstream analytics, time series problems, transferring data between Hadoop and relational databases, and applications in the finance sector.
Understanding Tool Integration for Big Data Architecture
Video description
In this course, you’ll learn how to integrate Hadoop components to implement big data solutions for a variety of use cases, including clickstream analytics, time series problems, transferring data between Hadoop and relational databases, and applications in the finance sector.
Replication, High Availability and Multi Datacenter
Cassandra Weather Website Example
Cassandra Query Language (CQL)
Cassandra Partitions Clustering
Cassandra Read and Write Path
Working with Cassandra
Cassandra Drivers and Access Patterns
Spark and Cassandra
Spark and Cassandra Architecture
Analyzing Cassandra Data Spark SQL
Spark and Cassandra DataStax Enterprise
Real World Use Cases
Real World Use Cases: Streaming Problems
Real World Use Cases: In-place Analytic Problems
Introduction
Course Introduction
About The Author
What Is Big Data
Historical Approaches
Modern-Day Approach
What Is Hadoop
Hadoop Core Vs Ecosystem
Hadoopable Problems
Hadoop Basics
HDFS And Yarn
Hive And Pig Interface Introduction
Introduction To Spark
Hadoop In The Cloud (Amazon Web Services Intro)
Installing Hadoop Into EMR Part - 1
Installing Hadoop Into EMR Part - 2
Installing Cloudera Quickstart VM
Web GUIs
Hadoop Distributed Filesystem (HDFS)
HDFS Architecture
HDFS File Write Walkthrough
Secondary Name Node
Basic HDFS Commands
Using HDFS Commands Part - 1
Using HDFS Commands Part - 2
HA And Federation Basics
HDFS Access Controls (Or Lack Thereof)
Yarn
Yarn Purpose
Yarn Architecture
Yarn With Spark
MapReduce
MapReduce Explained
MapReduce Architecture
MapReduce Code Walkthrough
MapReduce Details Walkthrough
Running MapReduce Job
HDFS Data Import And Export
Import/Export Options
Flume Introduction
Using Flume
Sqoop Introduction
Using Sqoop
HDFS Interaction Tools
Oozie Introduction
Spark Basics
Spark Value Propositions
Spark Run Modes (Yarn, Standalone, Mesos)
RDDs And Dataframes
Hands On Spark Part - 1
Hands On Spark Part - 2
Running Spark Part - 1
Running Spark Part - 2
Optimizing And Debugging Spark
Spark Libraries Overview
Spark Built-In Libraries
Spark SQL
Spark SQL Usage
MLlib Basics
Common MLlib Usage Part - 1
Common MLlib Usage Part - 2
Spark Streaming
GraphX
Hive And Pig
Hive Vs Pig
Hive Basics
Analysis With Hive
Pig Basics
ETL And Analytics With Pig
Hadoop In The Cloud
Hadoop/Cloud Use Cases
Elastic MapReduce (EMR)
Ecosystem
HBase Basics
Enterprise Integration
Wrap Up
Wrap Up
Introduction to Sqoop
Introduction
About The Author
Use Case #1: ELT
Use Case #2: ETL From DWH
Use Case #3: Data Analysis
Use Case #4: Data Archival
Use Case #5: Move Reports To Hadoop
Use Case #6: Data Consolidation
Importing Data To Hadoop From A Relational Database
Command Line Basics: Importing Data Using Sqoop
Importing Data With Column Filters, Row Filters, And Free Text Queries
Parallel Imports
Import Data Directory To HIVE Tables
Incremental Data Import Overview
Incremental Data Import And Using Sqoop Stored Jobs
Sqoop Hands-On: Exporting Data From Hadoop To A Relational Database
Exporting Data Back To A Relational Database Using Sqoop
Exporting data from Hadoop back to RDBMS
Advanced topics
Introduction to Sqoop2 Server
Course summary
Wrap Up
Continuous curation of event data for a customer event hub - Arvind Prabhakar (StreamSets)
Big data governance - Steven Totman (Cloudera), Mark Donsky (Cloudera), Kristi Cunningham (Capital One), Ben Harden (CapTech Consulting)
Preventing a big data security breach - Sam Heywood (Cloudera), Nick Curcuru (MasterCard Advisors), Ritu Kama (Intel)
Hive + Amazon EMR + S3 = Elastic big data SQL analytics processing in the cloud, a real-world case study - Jaipaul Agonus (FINRA)
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