Abstract:

Dynamic description of Aliyun e-MapReduce

E – graphs team

Version 1.5.0 (released)

  • Added overview page to EMR console
  • Added the emR console function for users to view cluster process status
  • Presto components support OSS by default
  • Launched region in West America and Singapore
  • Hive supports TEZ by default
  • You do not need to enter complex OSS AK parameters in job parameters. You can automatically obtain user AK information and access OSS resources (only for VPC networks).

1.6.0 version

  • Interactive query (Support Hive and Spark)

information

  • When should startups start focusing on data? Everyone says data matters, so when should an entrepreneur start paying attention to data? Since the company was founded? I think, of course not. In the early stage of the product, data drive is a false proposition, and only in the real growth period can data burst into power
  • Big Data Analysis: Who else is struggling on the way to work? According to statistics, commuting time in different cities is the worst in Shanghai and Beijing.
  • 4 simple examples of how to be a data geek
  • HPLSQL, LLAP, Hbase Metastore, Hive on Spark, and CBO are all significant points. E-mapreduce supports Hive2.0. Welcome to use it.
  • In the case of Uber doing incremental processing on Hadoop, having a clear definition of actual latency requirements can help you save a lot of money and choose the right system; Hadoop can solve many problems by applying primitives that support incremental processing
  • How to describe the technology ecology of big data with image metaphor? What is the relationship between Hadoop, Hive, and Spark? Zhihu is a magical place where you can learn a lot
  • Notice: Big data (HadoopSpark) solution construction in detail, taking Ali Cloud e-MapReduce as an example, the content includes: E-MapReduce products, big data basic architecture, cost saving, 10 common problems and future development, the author said, do advertising.

Domestic big data related conference

| | | site meeting time cost | | | — – | — – | — – | — – | | the cloud conference] [2016 hangzhou hangzhou | | | charges in October 2016 + | free of charge