Draft Document for Review December 11, 2019 1:55 pm 8459ch08.fm GLYPH<SM590000> HDFS  GLYPH<SM590000> HGST GLYPH<SM590000> NetApp Object Storage For further information about the benefits of using IBM Aspera with third party cloud storage  services, see the white paper IBM Aspera Direct-to-Cloud Storage at the following website: https://www.ibm.com/downloads/cas/AWOQXB8G 8.3 Configuring a multicloud data lake 8.3.1 What is a data lake? 8.3.2 Using a data lake in a multicloud environment This section introduces the concept of a data lake and how it fits in a multicloud environment. A Data lake is a next-generation hybrid data management solution designed to meet the  challenge and need to deal with big data in a hybrid multicloud environment. It is not a product  but rather a hybrid data management reference architecture designed to form part of your  data governance strategy. Using a data lake offers greater flexibility than a data warehouse. A  data lake consolidates an organization’s data into a governed and well-managed environment  that supports both production workloads and analytics development. The benefits of using a data lake are: GLYPH<SM590000> Storing data in its native format means less time spent on data preparation GLYPH<SM590000> Simplified data access GLYPH<SM590000> Enhanced agility for applications data users GLYPH<SM590000> Improved decision-making GLYPH<SM590000> Reduced costs Further information describing a data lake and the benefits in more detail can found at: https://www.ibm.com/uk-en/analytics/data-lake https://www.ibm.com/downloads/cas/ON4WK472 https://www.ibm.com/downloads/cas/PWN7GNX3 There are a number of data lake providers operating in a multicloud environment: GLYPH<SM590000> IBM (through a partnership with Cloudera) GLYPH<SM590000> Google GLYPH<SM590000> Amazon AWS GLYPH<SM590000> Microsoft Azure GLYPH<SM590000> Hadoop GLYPH<SM590000> Terradata GLYPH<SM590000> Hortonworks Using a data lake in a multicloud environment enables secure integration and provides a  means to achieve unified data governance in a hybrid environment. Your data lake  repositories will accept data from any data source in its native format giving a common  platform for containerized applications to use in both on-premises data centers and in the  cloud. Chapter 8. Special topics  187