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Solving the Enterprise Data Dilemma

Solving the Enterprise Data Dilemma

Most organizations don’t know exactly what data they have or even where some of it is. They also struggle to integrate known data in its various formats and from numerous systems. However, there’s a way to solve this enterprise data dilemma. It starts by harmonizing your data management and governance efforts, and there’s a new e-book to tell you how.

Post-Event Report: CDO Exchange March 2019

Post-Event Report: CDO Exchange March 2019

The CDO Exchange March 2019 was our biggest event yet in the series. Download the Post-Event Report for an insight into what happened over the 2 days including the senior level data experts who attended, the key takeaways, sessions highlights and much more!

Top 15 Data Investment Priorities for 2019

Top 15 Data Investment Priorities for 2019

Ahead of the 2019 Chief Data Officer Exchange, attendees were asked what their top challenges were and where they plan to invest in the next 6 - 12 months. Download the infographic to see the full results.

The CDO's Playbook: Interview with Peter Jackson

The CDO's Playbook: Interview with Peter Jackson

We had the opportunity to sit down with Peter Jackson, co-author of 'The Chief Data Officer's Playbook' who will be speaking at the CDO Exchange in March 2019, to discuss the hottest topics in data. 


Check out the interview here.

Increase Data Lake ROI with Streaming Data Pipelines

Increase Data Lake ROI with Streaming Data Pipelines

Data lakes have emerged as an attractive complement to traditional data warehouses because they store masses of structured and unstructured data in native formats until analytical needs arise. However, many enterprises struggle to realize the expected return on data lake investments due to the unexpected challenges associated with data quality, data governance and data immediacy. This paper discusses how to automate your data lake pipeline to address these challenges and stop pristine data lakes devolving into useless data swamps.

Attunity provides automated data lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.

This whitepaper describes the following:

  • Data lake origins and challenges including hybrid data integration, multiple data source platforms, and lakes both on premises and in the cloud.
  • Real-time integration, with change data capture technology that integrates live transactions with the data lake.
  • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assembles a historical data store.
  • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics ready data sets.
How to Monetise your Data: 7 Simple Solutions

How to Monetise your Data: 7 Simple Solutions

Data is increasingly considered to be the greatest business asset - you can achieve usable, valuable data by having excellent approaches to data acquisition, storage, governance, analysis and security. Here we look at seven specific strategies that you can apply within your organisation to monetise your data.
Post-Event Report: CDO Exchange for Financial Services 2018

Post-Event Report: CDO Exchange for Financial Services 2018

The CDO Exchange FS 2018 was our biggest event yet in the series. Download the Post-Event Report for an insight into what happened over the 2 days including the senior level data experts who attended, the key takeaways, sessions highlights and much more!