Access, combine, transform – ACT on your data today

IBM DataWorks offers a self-service approach to data preparation — from accessing multiple data sources to transforming them, all within a single fully managed service. With IBM DataWorks, you can be sure you always have access to rich, high-quality data that’s ready to be analyzed.

Simple

Get instant access to all your data, regardless of where it’s stored.

Powerful

Create powerful insights by bringing together multiple relevant data sources.

Integrated

Seamlessly integrate data across different data platforms and IBM Watson Analytics.

ACT on your data

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Access data in a hybrid environment

Access any data, anywhere, from any cloud. Choose from a long list of data sources to access, including Amazon Web Services and Microsoft Azure.

Data sources also include IBM Cloudant, Salesforce.com, Apache Hive, Oracle, SQL Server, Pivotal Greenplum and more. Targets include IBM Cloudant, IBM dashDB and IBM Watson Analytics.

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Combine data from multiple sources

Combine data from any source you can access, to create a powerful dataset that’s ready for deeper analysis.

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Transform raw data for analytics

Filter values and columns from the raw source data, sort, remove duplicates and understand the quality of data through standardized scores.

Integrate products with DataWorks

IBM dashDB + DataWorks

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dashDB is a fully managed cloud data warehouse, purpose-built for analytic workloads at MPP scale. DataWorks can integrate with dashDB both as a source and as a target.

IBM Cloudant NoSQL DB + DataWorks

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Cloudant is a NoSQL database on the cloud. DataWorks offers native integration with Cloudant, which can be used as both a source and a target for data.

IBM Watson Analytics + DataWorks

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Once you’ve ACTed (access, combine, transform) on your data, you can move the resultant dataset to IBM Watson Analytics to start analyzing the data right away.

IBM PureData for Analytics + DataWorks

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IBM PureData for Analytics is a data warehouse appliance offering massively parallel processing architecture. You may use IBM PureData for Analytics as both a source and a target from IBM DataWorks.


How you can use IBM DataWorks

Data shaping

Shape raw data for analytics

Filter values and columns from the raw source data, sort, remove duplicates and understand the quality of data through standardized scores.

Data blending

Create a blended dataset from several sources

Easily access any data on cloud or on-premises, from systems of engagement or systems of record. Sources include Salesforce.com, Oracle, IBM Cloudant and IBM DB2 on Cloud.

Combine data using criteria that’s relevant to your data, all in an easy-to-use graphical UI. And then store the resulting dataset on IBM dashDB or IBM Cloudant, among others.

Data movement

Move data from source to target

Access your data wherever it might be, on the cloud or on-premises, securely behind a firewall. And then securely and easily copy it to a target on the cloud (like IBM Cloudant or IBM dashDB) or on-premises (like IBM Pure Data for Analytics).

IBM DataWorks integrates with:

DataWorks resources

DataWorks introduction video

Watch an overview of DataWorks and learn about how data preparation can help your business.

Blend multi-source data with DataWorks

See how to combine data from multiple sources into a single dataset.

Load data for analytics with DataWorks

Watch how to move data from source to target.

DataWorks documentation

Visit Bluemix for documentation on IBM DataWorks.

Sample app: Simple Data Pipe

Move data to Cloudant using a simple data pipe. Once there, you may use DataWorks to transform and move the data for a variety of different purposes, to a number of different target data platforms.

DataWorks introduction video

Watch an overview of DataWorks and learn about how data preparation can help your business.

Blend multi-source data with DataWorks

See how to combine data from multiple sources into a single dataset.

Load data for analytics with DataWorks

Watch how to move data from source to target.

DataWorks documentation

Visit Bluemix for documentation on IBM DataWorks.

Sample app: Simple Data Pipe

Watch how to use DataWorks to move data to IBM’s cloud data warehousing offering, dashDB.

DataWorks community resources

Connect with other DataWorks users for additional support and networking.

IBM DataWorks on developerWorks

Get access to tutorials on this developerWorks page.


Analyst report on data refinement

IBM commissioned Forrester to conduct a study of how organizations are approaching data refinement. Bottom line: Data refinement provides significant competitive edge.

DataWorks resources library

DataWorks solution brief

Read how DataWorks helps business analysts and data scientists get data ready for analytics.

YouTube: Forrester on DataWorks

Listen to findings about data preparation from a new Forrester study.

Get going with the starter plan at $2 USD per activity run

Get going with the starter plan at $2 USD per activity run

Get going with the starter plan at $2 USD per activity run

Related products

IBM DB2 on Cloud

Get enterprise security and performance with the scale and agility of the cloud. Use the same trusted DB2 multi-workload relational database for heavy data lifting in a new self-service deployment with subscription licensing.

Starting at $1,000 USD per instance per month

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IBM dashDB

Analyze your data where it resides — in the cloud — with a fully managed columnar data warehouse service. Leverage in-database predictive analytics and massively parallel processing (MPP) to do more with your data.

No charge for up to 1GB of data storage

Learn more

IBM Cloudant

Give your application uninterrupted data access, offline and online, anywhere in the world, with a fully managed NoSQL database service. Let IBM manage the database layer so you can build more, grow more and sleep more.

Metered – first $50 USD free

Learn more

Say yes to a hassle-free self-service data preparation experience.

Say yes to a hassle-free self-service data preparation experience.

Say yes to a hassle-free self-service data preparation experience.

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