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Leadership and Vision: Why Informatica is in the Best Position to Help Organizations Succeed

Leadership and vision are two critical tenets of a successful business. While leadership is about focusing attention on what matters most to customers, vision is about how we deal with today’s realities, as well as how we address the future. Vision represents who we are and what we stand for. Leadership and vision—and how they... more

The Rise of Chief Data Officers in the Federal Government

With the US Office of Management and Budget’s (OMB) recent release of the Federal Data Strategy 2020 Year One Action Plan, there is now unprecedented opportunity in the coming decade to fundamentally change—for the better—the Federal Government’s approach to leveraging data as a strategic asset. The Action Plan, coupled with the 2019 OPEN Government Data... more

Healthcare Transformation: Goodbye Data Frustration, Hello Data Freedom, Part II

This second in a series focusing on the challenges and changes facing healthcare payers and providers focuses on how data management holds the promise of a cure for what ails the healthcare industry. Every transformational healthcare initiative today has a significant reliance on the availability of accessible, trusted and secure data. In my previous post,... more

Exploit Perishable Insights with Informatica’s Intelligent Streaming Solution

With the number of connected devices expected to reach 50 billion by 2020[1], there is a huge volume of data that is being generated. These devices are changing lives—and the nature of data. This data provides businesses with nearly real-time access into how its products are being used. Organizations need to identify and act on... more

Guide to Ingesting Data Into Your Cloud Data Lake for BI and Real-Time Streaming Analytics

Data is driving the strategic decisions within organizations. Because data is such an important asset, it is essential to capture data from a variety of sources across the enterprise, including partner ecosystem and third-party data. Many organizations have started initiatives to bring data from the various sources and move it onto data lakes or messaging... more

Data Governance Best Practices in Focus: Gaining Clarity and Learning from Data Governance Experts

As someone who’s worn glasses his whole life, I’m all too aware that the phrase “20/20” means that you have perfect vision. For many, the year 2020 also provides a new opportunity for clarity in your professional career. This time of year, there are countless posts online about how to best take advantage of the... more

Hybrid Integration Platform: 3 Critical Drivers for Your HIP Strategy

If integration and data management are not already part of your technology and IT operations strategy, they soon will be. The push towards digital transformation and the adoption and consumption of lightweight microservices, advanced analytics, etc. are demanding more from today’s platforms. At the heart of today’s modernization initiatives is cloud technology. A lot of... more

Getting Application Modernization Right with Informatica Cloud Application Integration and Data Quality

Why App/API Integration and Data Quality Matter When You’re Trying to Avoid Code, Load and Explode Co-authored with Ruma Sanyal, Director, Hybrid Integration Platform and iPaaS. Application modernization is the refactoring, re-purposing, or consolidation of legacy software programming to align more closely with current business needs. As Orbis Research’s Global Application Modernization Services Market 2019... more

Data Processing Engines Part 2: Pushing the Pedal to the Metal With Pushdown Optimization

In the previous blog, we discussed how data processing engines are central to a data platform.   In this blog, we’ll dive into the characteristics of pushdown optimization.   If you’ve read the data engine blog series, so far, we described working with abstract definition of a data pipeline.  That is, once the data pipeline is... more

Make Your Cloud Data Warehouse Truly Elastic with Amazon Redshift and Informatica

Of all the advantages of having a data warehouse in the cloud, the biggest advantage is that your data warehouse can be elastic. You can add or remove compute and storage as your demand grows and shrinks, as frequently as you need. Resizing with Amazon Redshift Amazon Redshift allows two major ways to resize your... more