PPT-HBase

Author : lois-ondreau | Published Date : 2016-07-02

Presented by Chintamani Siddeshwar Swathi Selvavinayakam http wwwslidesharenet amansk hbasehadoopdayseattle4987041 HBase Open source BigTable HDFS as underlying

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HBase: Transcript


Presented by Chintamani Siddeshwar Swathi Selvavinayakam http wwwslidesharenet amansk hbasehadoopdayseattle4987041 HBase Open source BigTable HDFS as underlying DFS. An Overview. Credits . Author: Michael Guenther. Editor: Aaron Loucks. Dancing Elephants: Michael V. Shuman. What developers and architects see. 3. What capacity planning folks see. 4. What network folks see. . Special Topics in DBs. Large-Scale Data Management. HBase. Spring 2013. WPI, Mohamed Eltabakh. 1. HBase: Overview . HBase is a distributed column-oriented . data store built . on top of . HDFS. HBase is an Apache open source project whose goal is to provide storage for the Hadoop Distributed Computing . . . History. Why use Hbase. ?. Hbase vs. HDFS. What is Hbase. ?. Hbase Data Model. Hbase Architecture. Acid properties in . hbase. Accessing hbase. Hbase API. Hbase vs. RDBMS. Installation. References. Tang, . Arun. . Iyengar. , . Wei Tan. , Liana Fong, ​Ling Liu, . Balaji. . Palanisamy. . wtan@us.ibm.com. . DELI: Deferred Lightweight Indexing on Log-structured Key-Value Stores. Andrew Wang, . Shivaram. . Venkataraman. , . Sara . Alspaugh. , Ion . Stoica. , Randy Katz. 2. Exploratory drill-down. Interactive web-serving. HDFS. Batch analytics. HBase. MySQL. 3. Exploratory drill-down. Hadoop. Processing at OCLC Research. Code4lib 2014. . • Raleigh, NC. Roy Tennant . Senior Program Officer. A family of open source technologies for parallel processing:. Hadoop. core, which implements the . 2.0 and YARN. Subash. D’Souza. Who am I?. Senior Specialist Engineer at . Shopzilla. Co-Organizer for the Los Angeles . Hadoop. User group. Organizer for Los Angeles . HBase. User Group. Reviewer on Apache Flume: Distributed Log Processing, . crisis . of. Japan’s quake and tsunami. Thomas O’Donnell. The New School, GPIA The Ohio State University, International Program. Mayuresh . Kunjir. Modern Data Analytics Frameworks. Process external data. Great for unstructured data. Easy to scale out. Suited for Cloud infrastructure. Fast recovery. Suited for commodity nodes. On Hadoop. Ted Malaska. 2. Schedule. Intro. Overview of Hadoop and Eco-System. Summarize Tree Rooting. MR Overview/Implementation . Options. Hbase. . Overview/Implementation . Options. Giraph. Overview/Implementation Options. Brady Kyle. CSC-557. 4-27-14. Overview. Cassandra. Hbase. Voldemort. Redis. VoltDB. MySQL. Apache Cassandra. Developed by Google, Amazon, Facebook, Apache Foundation. Highly Available, Highly Reliable, Highly Scalable NoSQL. Zheng Shao. 10/18/2011. 1. Analytics and Real-time. 2. Data . Freeway. 3. Puma. 4. Future Works. Agenda. Analytics and Real-time. what and why. Facebook Insights. Use cases. Websites/Ads/Apps/Pages. Time series. Hadoop Ecosystem. What is Apache Pig ?. . A platform for creating programs that run on Apache Hadoop.. Two important components of Apache Pig are:. Pig Latin language and the Pig Run-time Environment. Hbase. , Hive and Pig, etc. . Adopted from slides by . By. Perry Hoekstra, . Jiaheng. Lu, . Avinash. . Lakshman. , . Prashant. . Malik, and Jimmy Lin. History of the World, Part 1. Relational Databases – mainstay of business.

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