Big Data Hadoop Stack
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1 Big Data Hadoop Stack
2 Lecture #1 Hadoop Beginnings
3 What is Hadoop? Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware
4 Hadoop was created by Doug Cutting and Mike Cafarella in 2005 Named the project after son's toy elephant
5 Moving Computation to Data Data Computation
6 Scalability at Hadoop s core!
7 Reliability! Reliability! Reliability!
8 Reliability! Reliability! Reliability!
9 Reliability! Reliability! Reliability! Google File System
10 Once a year 365 Computers Once a day
11 Hourly
12 New Approach to Data Keep all data
13 New Kinds of Analysis Schema-on read style
14 New Kinds of Analysis Schema-on read style New analysis
15 Small Data & Complex Algorithm Vs. Large Data & Simple Algorithm
16 Lecture #2 Apache Framework Hadoop Modules
17 Apache Framework Basic Modules Hadoop Common Hadoop Distributed File System (HDFS) Hadoop YARN Hadoop MapReduce
18 Apache Framework Basic Modules Hadoop Common Hadoop Distributed File System (HDFS) Hadoop YARN Hadoop MapReduce
19 Apache Framework Basic Modules Hadoop Common Hadoop Distributed File System (HDFS) Hadoop YARN Hadoop MapReduce
20 Apache Framework Basic Modules Hadoop Common Hadoop Distributed File System (HDFS) Hadoop YARN Hadoop MapReduce
21
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26 Lecture #3 Hadoop Distributed File System (HDFS)
27 HDFS Hadoop Distributed File System Distributed, scalable, and portable filesystem written in Java for the Hadoop framework
28 HDFS
29
30 MapReduce Engine Job Tracker
31 MapReduce Engine Job Tracker Task Tracker
32 Apache Hadoop NextGen MapReduce (YARN)
33
34 What is Yarn? YARN enhances the power of a Hadoop compute cluster Scalability
35 What is Yarn? YARN enhances the power of a Hadoop compute cluster Scalability Improved cluster utilization
36 What is Yarn? YARN enhances the power of a Hadoop compute cluster Scalability Improved cluster utilization MapReduce Compatibility
37 What is Yarn? YARN enhances the power of a Hadoop compute cluster Scalability MapReduce Compatibility Improved cluster utilization Supports Other Workloads
38 Lecture #4 The Hadoop Zoo
39
40 How to figure out the Zoo??
41 Original Google Stack
42 Original Google Stack
43 Original Google Stack
44 Original Google Stack Data Integration
45 Original Google Stack
46 Original Google Stack
47 Original Google Stack
48 Facebook s Version of the Stack Data Integration Languages Compilers Data Store Coordination
49 Yahoo s Version of the Stack Data Integration Languages Compilers Data Store Coordination
50 LinkedIn s Version of the Stack Data Integration Languages Compilers Data Store Coordination
51 Cloudera s Version of the Stack Data Integration Languages Compilers Data Store Coordination
52 Lecture #5 Hadoop Ecosystem Major Components
53
54 Apache Sqoop Tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases
55
56 HBASE Column-oriented database management system Key-value store Based on Google Big Table Can hold extremely large data Dynamic data model Not a Relational DBMS
57
58 PIG High level programming on top of Hadoop MapReduce
59 PIG The language: Pig Latin
60 PIG Data analysis problems as data flows
61 PIG Originally developed at Yahoo 2006
62 Pig for ETL
63 Pig for ETL
64 Pig for ETL
65
66 Apache Hive Data warehouse software facilitates querying and managing large datasets residing in distributed storage
67 Apache Hive SQL-like language!
68 Apache Hive Facilitates querying and managing large datasets in HDFS
69 Apache Hive Mechanism to project structure onto this data and query the data using a SQLlike language called HiveQL
70
71 Oozie Workflow scheduler system to manage Apache Hadoop jobs
72 Oozie Oozie Coordinator jobs!
73 Oozie Supports MapReduce, Pig, Apache Hive, and Sqoop, etc.
74
75 Zookeeper Provides operational services for a Hadoop cluster group services
76 Zookeeper Centralized service for: maintaining configuration information naming services providing distributed synchronization and providing group services
77 Zookeeper Centralized service for: maintaining configuration information
78 Zookeeper Centralized service for: maintaining configuration information naming services
79 Zookeeper Centralized service for: maintaining configuration information naming services providing distributed synchronization and providing group services
80 Flume Distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data
81 Additional Cloudera Hadoop Components Impala
82
83 Impala Cloudera's open source massively parallel processing (MPP) SQL query engine Apache Hadoop
84 Additional Cloudera Hadoop Components Spark The New Paradigm
85
86 Spark Apache Spark is a fast and general engine for large-scale data processing
87 Spark Benefits Multi-stage in-memory primitives provides performance up to 100 times faster for certain applications
88 Spark Benefits Allows user programs to load data into a cluster's memory and query it repeatedly Well-suited to machine learning!!!
89 Up Next Tour of the Cloudera s Quick Start VM
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