Draft Document for Review December 11, 2019 1:55 pm 8459ch03.fm 3.4 IBM Cloud Pak for Data 3.4.1 Features 3.4.2 Layers explained 3.5 IBM Cloud Pak for Integration 3.5.1 Features IBM Cloud Pak for Data is a fully-integrated data and AI platform that modernizes data  engineering for organizations. Built on Red Hat OpenShift, IBM Cloud Pak for data provides  Containerised solution for data processing and analytics capability.  IBM Cloud Pak for Data is composed of pre-configured microservices. The microservices  enable you to connect to your data sources so that you can catalog and govern, explore and  profile, transform, and analyze your data from a single web application. IBM Cloud Pak for Data is a native cloud solution that enables data to work quickly and  efficiently. Data to be used to generate meaningful insights that can help to avoid problems. IBM Cloud Pak for Data lets you do both by enabling you to connect to your data, govern it,  find it, and use it for analysis. IBM Cloud Pak for Data also enables all of your data users to  collaborate from a single, unified interface, so your IT department does not need to deploy  and connect multiple applications. Data accumulation : IBM Cloud Pak for Data System offers, accelerated time to value,  allowing to stand up an entire cloud system for user data and AI architecture in under four  hours. IBM Cloud Pak for Data System simplifies expansion. Buy small increments of  computing or storage capacity as needed, rather than outlaying vast amounts of capital.  Based on application demand and delivery, budgeting can be completed in quarterly  expansions on an ad hoc basis. This section explains the different layers in IBM Cloud Pak for Data. Data organization : Understanding the quality, content and structure of your data is an  important first step when making critical business decisions. It utilizes a reusable rules library  and supports multi-level evaluations by rule record and pattern. It also facilitates the  management of exceptions to established rules.  Data analysis:  Data Analyzer helps identify data inconsistencies, redundancies and  anomalies and makes inferences about the best choices for structure. Analyzing data is the  primary purpose of Information Analyzer. With time, every organization expands their IT estate with new infrastructure, software and  applications. This existing investment on distributed and diverse environment is a major  concern during any cloud migration. Maximize utilization: Support traditional integration with a containerized approach across  delivery models, domains, endpoints and personas. Migrate, innovate and scale at your own  pace.  Chapter 3. IBM Cloud Paks - Middleware anywhere  45