新建SIG申请

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说明：本SIG的Charter内容遵循openEuler章程 README中描述的约定，使用SIG-governance中概述的角色和组织管理。

SIG组工作目标和范围

sig的必要性数据已经成为土地、劳动力、资本、技术之后的第五生产要素。在这种情况下，openEuler社区需要从技术角度考虑如何更充分的发挥数据在生产、生活中的作用，要构建大数据处理相关能力，由本SIG负责。
该SIG的业务范围
- openEuler上的大数据基础运行能力，包括数据采集、数据传输、数据存储、数据分析、数据可视等。
- openEuler上大数据平台，将各种常用的工具软件集成提供统一的用户界面解决让大数据在openEuler上更易用。
- openEuler上的大数据组件和平台的性能优化，让大数据在openEuler上更好用。
- openEuler上的大数据相关能力集成，新芯片和软件进入openEuler时的支持。

jupyter An environment for interactive computing in multiple languages
hadoop A software platform for processing vast amounts of data
libhdfs The Apache Hadoop Filesystem Library
qrupdate A Fortran library for fast updates of QR and Cholesky decompositions
zookeeper A high-performance service for building distributed applications
ibis A toolbox to bridge the gap between local Python environments, remote storage, execution systems like Hadoop components (HDFS, Impala, Hive, Spark) and SQL databases. Its goal is to simplify analytical workflows and make you more productive.
presto A distributed SQL query engine for big data.
rain An open-source distributed computational framework for processing of large-scale task-based pipelines.
alluxio Alluxio (formerly known as Tachyon) is a virtual distributed storage system.
ambari Apache Ambari is a tool for provisioning, managing, and monitoring Apache Hadoop clusters.