Hadoop Ecosystem Overview. CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook

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1 Hadoop Ecosystem Overview CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook

2 Agenda Introduce Hadoop projects to prepare you for your group work Intimate detail will be provided in future lectures Discuss potential use cases for each project

3 Topics HDFS MapReduce YARN Sqoop Flume NiFi Pig Hive Streaming HBase Accumulo Avro Parquet Mahout Oozie Storm ZooKeeper Spark SQL-on-Hadoop In-Memory Stores Cassandra Kafka Crunch Azkaban

4 HDFS Hadoop Distributed File System High-performance file system for storing data We ve talked about this enough

5 Hadoop MapReduce High-performance fault-tolerance data processing system We ve also talked about this enough

6 YARN Abstract framework for distributed application development Split functionality of JobTracker into two components ResourceManager ApplicationMaster TaskTracker becomes NodeManager Containers instead of map and reduce slots Configurable amount of memory per NodeManager

7 MapReduce 2.x on YARN MapReduce API has not changed Binary-level backwards compatible (no recompile) Application Master launches and monitors job via YARN MapReduce History Server to store history Enabled Yahoo! to scale beyond 4,000 nodes

8 Hadoop Ecosystem Core Technologies Hadoop Distributed File System Hadoop MapReduce Many other tools Which we will be discussing now

9 Apache Sqoop Apache project designed for efficient transfer between Apache Hadoop and structured data stores Use through CLI and extendable

10 Apache Flume Distributed, reliable, available service for collecting, aggregating, and moving large amounts of log data Configure agents using simple files, extendable

11 Apache NiFi A service to reliably move and manipulate files between clusters using a web front-end Uses a GUI to drop processors and connect them to build workflows

12 Apache Pig Platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs Infrastructure compiles language to a sequence of MapReduce programs

13 Apache Hive Data warehouse facilitating querying and managing large datasets Compiles SQL-like queries into MapReduce programs

14 Hadoop Streaming Utility to create and run MapReduce jobs with any executable or script as the mapper or reducer Just a jar file, not a real project

15 Which high-level API is for you? What are you comfortable with? What are you being told to use?

16 Apache HBase Distributed, scalable, big data store Data stored as sorted key/value pairs, with the key consisting of a row and column

17 Apache Accumulo Robust, scalable, high-performance data storage and retrieval key/value store Cell-based access controls i.e. cell-level security

18 Apache Avro Data serialization system for the Hadoop ecosystem

19 Apache Parquet Columnar storage format for Hadoop

20 Apache Mahout Machine learning library to build scalable machine learning algorithms implemented on top of Hadoop MapReduce

21 Apache Oozie Workflow scheduler system to manage Apache Hadoop jobs

22 Apache Storm Distributed real-time computation system Didn t have a logo until June 2014 How is this different than MapReduce?

23 Apache ZooKeeper Effort to develop and maintain and opensource server enabling highly reliable distributed coordination

24 Apache Spark Fast and general engine for large-scale data processing Write applications in Java, Scala, or Python

25 SQL on Hadoop Apache Drill, Cloudera Impala, Facebook s Presto, Hortonworks s Hive Stinger, Pivotal HAWQ, etc. SQL-like or ANSI SQL compliant MPP execution engines using HDFS as a data store Non use cases?

26 Sample Architecture Flume Agent SQL Oozie Webserver Flume Agent Website Sales MapReduce Pig HBase Storm Flume Agent HDFS Call Center SQL

27 We [maybe] won t be covering these in detail later on OTHER HADOOP PROJECTS

28 Redis, Memcached, etc. Open-source in-memory key/value stores

29 Apache Cassandra NoSQL database for managing large amounts of structured, semi-structured, and unstructured data Support for clusters spanning multiple datacenters Unlike HBase and Accumulo, data is not stored on HDFS Non use cases?

30 Apache Crunch Java framework for writing, testing, and running MapReduce pipelines with a simple API Same code executes as a local job, as a MapReduce job, or as a streaming Spark job * *Not the real logo, but truly fantastic

31 Apache Kafka High-throughput distributed publish-subscribe message service

32 Azkaban Batch workflow job scheduler to run Hadoop jobs

33 Review A lot of projects available to you for your grou project Think of a problem you are interested in, then choose the appropriate projects to solve it Keep in mind data ingest, storage, processing, and egress Feel free to explore and use other projects than the ones I have listed here Get permission if you plan on using it as part of your project quota

34 References All those logos are the property of their owners *.apache.org redis.io

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