Dissecting MapReduce Components | Big Data In Real World

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Hadoop Developer In Real World

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Introduction To Big Data

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Understanding Big Data Problem (14:24)
History Of Hadoop (3:46)
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HDFS

HDFS - Why Another Filesystem? (13:20)
Blocks (7:50)
Working With HDFS (16:09)
HDFS - Read & Write (9:31)
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MapReduce

Introduction To MapReduce (8:51)
Dissecting MapReduce Components (18:03)
Dissecting MapReduce Program (Part 1) (12:00)
Dissecting MapReduce Program (Part 2) (16:09)
Combiner (6:20)
Counters (6:43)
Facebook - Mutual Friends (17:38)
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Apache Pig

Introduction to Apache Pig (12:52)
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Solving a Problem (13:32)
Complex Types (21:12)
Pig Latin - Joins (19:53)
Million Song Dataset (Part 1) (10:29)
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Page Ranking (Part 1) (8:11)
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Apache Hive

Introduction to Apache Hive (9:58)
Dissect a Hive Table (10:14)
Loading Hive Tables (11:17)
Simple Selects (6:07)
Managed Table vs. External Table (6:20)
Order by - Sort By - Cluster By (9:44)
Partitions (19:31)
Buckets (7:27)
Hive QL - Joins (9:21)
Twitter (Part 1) (9:33)
Twitter (Part 2) (8:43)
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Hive Window and Analytical Functions

Introduction to Hive Window and Analytical functions (8:04)
Kickstarter campaign duplicates and top campaigns (8:01)
Kickstarter campaign bands and user sessions (8:28)

Architechture

HDFS Architechture (12:46)
Secondary Namenode (11:24)
Highly Available Hadoop (8:48)
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Cluster Setup

Vendors & Hosting (6:35)
Cluster Setup (Part 1) (23:43)
Cluster Setup (Part 2) (25:35)
Cluster Setup (Part 3) (18:01)
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Hadoop Administrator In Real World (Preview)

Cloudera Manager - Introduction (13:08)
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File Formats

Compression (14:55)
Sequence File (18:32)
AVRO (19:08)
File Formats - Pig (18:08)
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Parquet - Another Columnar Format (17:43)
Avro Schema and It's Importance (6:27)
Schema Evolution in Avro (Part 1) (9:32)
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Troubleshooting and Optimizations

Exploring Logs (8:49)
MRUnit (9:31)
MapReduce Tuning (12:39)
Pig Join Optimizations (Part 1) (17:17)
Pig Join Optimizations (Part 2) (13:56)
Hive - Join Optimizations (19:36)
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Apache Sqoop

Sqoop Imports (13:58)
Sqoop - File Formats (9:01)
Jobs & Incremental Imports (15:33)
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Apache Flume

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Kafka

Kafka - The Why and the What (8:43)
Kafka Concepts (12:32)
Tolerating Failures - Producers and Consumers (12:51)
Tolerating Failures - Brokers (12:06)
Kafka Installation (10:20)
Experiments with Kafka (19:18)
Streaming Meetup with Kafka (Part-1) (14:17)
Streaming Meetup with Kafka (Part-2) (17:15)
Writing production ready Kafka application (12:09)
Schema management with Kafka Schema Registry (15:25)
Schema evolution with Kafka Schema Registry (15:23)

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Preparing For Hadoop Interviews (19:18)

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Dissecting MapReduce Components

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