Are you creating data lakes or data swamps?

Dumping data into a Hadoop or a Hortonworks data platform alone won’t accelerate your analytics efforts. Without appropriate governance or quality, data lakes can quickly turn into unmanageable data swamps. Data users know that the data they need lives in these swamps, but without a clear data governance strategy they won’t be able to find it, trust it or use it.

A governed data lake contains clean, relevant data from structured and unstructured sources that can easily be found, accessed, managed and protected. The platform your data resides on is security-rich and reliable. Data that comes into your data lake is properly cleaned, classified and protected in timely, controlled data feeds that populate and document it with reliable information assets and metadata.


Empower data users
Enable all data consumers in your organization to make smart, data-driven decisions with self-service access to trusted, business-ready data.


Manage growing data and costs
As your data grows, you can scale and ingest it in your data lake regardless of its type and structure. Save costs by moving away from traditional storage.

Prepare and transform data faster
By moving structured and unstructured data into data lakes, you can save time and resources on data preparation and transformation. Empower your IT teams to focus on innovation.

Implement data security and compliance
Apply governance to the data in your data lake and be in a better position to meet increasingly stringent regulations and compliance requirements.

Increase agility and time to value
Speed up confident decision-making. Empower your data users with self-service access to data and run exploratory analytics for enhanced outcomes.



Ingest data
Your enterprise data is stored across multiple systems and repositories. You need continuous real-time data to flow into your data lake from these systems. Keep data fresh in the lake by ingesting structured and unstructured data from all your data sources.

Get started

→ IBM InfoSphere® DataStage

→ IBM InfoSphere Data Replication

→ IBM BigInsights® BigIntegrate

→ IBM BigInsights BigReplicate

The icon representing ingest your data.

Catalog data
An enterprise data catalog facilitates the inventory of all structured and unstructured enterprise information assets. By using an intelligent metadata catalog, you can define data in business terms, track the lineage of your data and visually explore it to better understand the data in your data lake.

Get started

→ IBM InfoSphere Information Governance Catalog

→ Industry models

→ IBM Watson® Knowledge Catalog

The icon represents catalog data

Govern data
Protect the integrity and reliability of your data through governance policies. Keep your data compliant and audit-ready by building a clean, governed data lake.

Get started

→ IBM InfoSphere Information Governance Catalog 

→ Industry models

The icon representing govern data capabilities

Provide self-service access to data
The purpose of a data lake is defeated when your data consumers don’t have self-service access to it. Provide reliable, high-quality data to your data scientists, data stewards, and governance and compliance teams and empower them to reach your organization’s analytics goals. Make governed data in your data lake more usable with IBM analytics solutions.

Get started

→ IBM Watson Knowledge Catalog

→ IBM Cognos® Analytics 

→ IBM Data Science

The icon representing provide self-service access to data capabilities


Govern your data lake with industry models and unified governance
Learn why business vocabularies and metadata management are crucial to the success of a governed data lake.


Start now with IBM industry models
Learn more about industry-specific business terms and compliance as you create your own governed data lake.

The journey continues: From data lake to data-driven organization
Learn about ING’s journey from a data lake to a data-driven organization.