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
It’s no secret that during the last few months of the year, holidays are top-of-mind for people around the globe. Likely, if you have a religious affiliation, or reside in a country with national holidays, you celebrate or experience some of the joys that the holidays can bring! Throughout this blog, I will highlight some... more
This blog was co-authored by Binit Tejani, Data & Analytics Alliances Lead, Deloitte UK. Having partnered on the delivery of cloud solutions for some 14 years now, Deloitte and Informatica joined forces again at the recent Deloitte Experience Analytics conference in London to showcase how we enable our clients to use intelligent data to improve... more
Have you heard the roar of a Ferrari? Built by design, the sound is unique as a result of decades of engineering feat and refinement, connecting the driver experience to the car. In the same way, data processing engines are the central component to connecting the data user experience to the data. In context of... more
Gartner recently published its 2019 Metadata Management Magic Quadrant. This is the fourth year that Gartner has published this annual report and for the fourth year in a row, Informatica has been named a Leader.[1] Over the last few years, metadata management has rapidly evolved from being an arcane technical discipline to a critical business... more
“A good tool improves the way you work. A great tool improves the way you think” Jeff Duntemann In my previous blog, I described characteristics of various data processing pipelines regardless of use case, persona, context, or data size. To support these use cases or personas, the right design tools are essential to creating data... more
Data produced by applications, devices, or humans must be processed before it is consumed. By definition, a data pipeline represents the flow of data between two or more systems. It is a set of instructions that determine how and when to move data between these systems. My last blog conveyed how connectivity is foundational to a... more
If you take any data processing pipeline – be it for data integration, data quality, data matching and mastering, data security, data masking or a B2B data exchange pipeline – data is read from somewhere and written somewhere for further consumption. All data processing pipelines start and end with connectivity. In addition to reading and... more
As Chief Trust Officer at Informatica, it’s my job to make sure that customers trust our global cloud services platform and software. Simply put, data privacy and security have never been more important to our customers. A study by RSA Security Research reports that roughly 70% of global consumers are prepared to boycott a company... more
You’ve heard the analogies: Data is the new oil, data is the new jet fuel, data is the new currency, etc. However, research by New Vantage Partners indicates less than one-third of organizations are data driven. To truly capitalize on the opportunity of being a data-driven business you must empower as many people as possible... more