With IT budgets growing slowly, if at all, IT leaders know that increasing productivity is essential. There are three key ways to accomplish this when it comes to managing complex enterprise data environments: Deploy data lakes to automate and manage digital transformation solutions Enable self-service analytics for non-technical users Leverage machine learning to automate data... more
IoT and streaming data is increasingly becoming a competitive differentiator for enhancing customer experience, improving operational efficiency, and real-time business decision making. According to Gartner, “By 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions.”[1] With the adoption of streaming data, enterprises are... more
This three-part series on connected cars has been co-authored by Amit Kara, Vishwa Belur, and Soumya Banerjee. You’re enjoying your family vacation, driving through California’s most scenic routes, when suddenly, your rental car comes to a complete halt. Your children and, most importantly, your spouse are not happy campers. You think to yourself, with all the advancements in automobiles,... 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
Over the last couple of years, data catalogs have been positioned as the panacea to address all kinds of problems in the modern data environment. Given the growing importance of data as a strategic asset, the pressure to make trusted data easily available to the business, and the complexity of the modern data landscape, the... more
I was recently in downtown San Diego during one of the largest global comics conferences: Comic-Con International 2019. The event is growing every year, and this year an estimated 300,000 visitors and attendees will generate more than $150M in economic impact for the city of San Diego. Despite the excited fans all around me, I... more
I’m often asked if there is a difference between data governance and data management. The answer is yes—but they are related. Data governance is the definition of organizational structures, data owners, policies, rules, process, business terms, and metrics for the end-to-end lifecycle of data (collection, storage, use, protection, archiving, and deletion). Data management is... more
Today, Microsoft announced an industry-first joint program with Informatica that provides customers with a free proof-of-value offer to help jumpstart one of the most business-critical and high ROI cloud modernization initiatives any company can undertake: modernizing to a cloud data warehouse. The success and growth of today’s enterprises is founded on the distinctive link between... more
One of the things I enjoy most about my role at Informatica is meeting with people in all types of organizations and from all sorts of industries around the world. And while their business models and geographic locations may be wildly different, one thing is universally understood: to keep current customers and gain new ones,... more
Data is a critical resource for enabling more efficient, collaborative and effective government and public services. We can expect to see many of the sophisticated, data-driven approaches pioneered in the private sector being applied to tackle some of our biggest public policy challenges. Only last June, the UK government announced its intention to develop a... more