Big-Data-大数据介绍(全英).pptxVIP

Big Data;Topics;;;;;What Is Big Data?;Why ‘Big Data’ is a big Deal;What This Means for You;Main steps in adopting an analytical system;Challenges;Recently IT Trend;;;Big Data Chain;ACID;MapReduce;RDBMS;;RDBMS vs MapReduce;;;;Architechures;How does MapReduce work;Map;Reduce; ;;Hadoop;Hadoop Architecture;Hadoop Implementation;;;;Design of HDFS;Limitations of HDFS;HDFS;Data flows;;;Format and Types;Text file;Data File;Mapreduce Special Feature;;;Install Hadoop;Layers/Players --continue;PIG – Help Hadoop;Hbase ;Hbase --continue;Hive;Cloudera’s Distribution for Hadoop;Evaluate Criteria;Big Data Realtime Processing;NoSQL;NoSQL Base Model;JSON Structure;RDBMS vs NoSQL;Benefits;SQL vs Non SQL;;;Big Data Solutions;;Big Data Project Fail Reasons;Real Examples of Big Data Projects;Continuation;;Starting Big Data Projects; NYTD (National Youth Transitinal Database) Data colection system to track the States are to collect information on each youth who receives independent living services paid for or provided by the State agency that administers the CFCIP. Second, States are to collect demographic and outcome information on certain youth in foster care whom the State will follow over time to collect additional outcome information they provide to all youth in eleven broad categories: independent living needs assessment; academic support; post-secondary educational support; career preparation; employment programs or vocational training; budget and financial management; housing education and home management training; health education and risk prevention; family support and healthy marriage education; mentoring; and supervised independent living. States will also report financial assistance they provide, including assistance for education, room and board and other aid. States will survey youth regarding six outcomes: financial self-sufficiency, experience with homelessness, educational attainment, positive connections with adults, high-