WP_Cloud Analytics - Mapping Requirements to Technology

W H I T E P A P E R

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10.4.2.4 Compose for MySQL

The IBM Bluemix Compose for MySQL provides a fully managed service to MySQL relational database, offering

an easy, auto-scaling deployment system that delivers high availability and redundancy, and automated backups.

10.4.2.5 IBM Watson Analytics

IBM Watson Analytics offers the benefits of advanced analytics without the involved complexity. A smart data

discovery service available on the cloud, it guides data exploration, automates predictive analytics and enables

effortless dashboard and infographic creation.

Features

• Discovery platform powered by cognitive capabilities

• Enables its users to do complex analytics in minutes

• Helps business users drive their individual business in a better way

• Provides a natural language interface to asking questions for analytics

While true cognitive computing is yet to be realized anywhere, there is no question that the machine learning (ML)

and early artificial intelligence (AI) behind IBM Watson Analytics is an impressive accomplishment. This smart

data science assistant acts both as servant and guide for users with a wide range of data science skill sets and

in roles ranging from business analyst to data scientist. It is comparable in breadth to the Microsoft PowerBI and

Tableau tools.

There are 32 connectors to ease use of data from those sources. A sample listing of business connectors includes

spreadsheets (CSV, XLS, TXT), Eventbrite, Hubspot, OneDrive,Paypal, SugarCRM, SurveyMonkey, and Twitter.

IBM Watson Analytics also lets you directly query a variety of databases including Cloudera Impala, Microsoft

Azure, MySQL, Oracle, PostgreSQL, PostgreSQL on Compose, Structured Query Language (SQL) Server,

Sybase, Sybase IQ, and Teradata.

References

IBM Watson Analytics:

10.4.2.6 IBM Watson Machine Learning

IBM Watson Machine Learning is a full-service Bluemix offering that makes it easy for developers and data

scientists to work together to integrate predictive capabilities with their applications. Built on IBM’s proven SPSS

analytics platform, Machine Learning allows you to develop applications that make smarter decisions, solve

tough problems, and improve user outcomes. IBM SPSS Modeler or Data Science Experience is required for

authoring and working with models and pipelines. The focus of the Machine Learning service is deployment: the

service is a set of REST APIs that can be called from any programming language.

References

SPSS Modeler and algorithms:

Data Science Experience and modeling algorithms: