The fundamental shift from on-premises to cloud is disrupting traditional methods of handling, analyzing, and processing data. Modern cloud data management is enabling companies to take advantage of the exponential growth of data and provides benefits such as performance, availability, cost, manageability, and flexibility. You can quickly build an analogy with this disruption in technology... more
Co-authored with Ruma Sanyal, Director, Hybrid Integration Platform and iPaaS. A digital business calls for a well-connected infrastructure. Your digital transformation will fall flat, however, without a successful data and application integration strategy. Integration is challenging because there are ever-changing requirements, such as new business initiatives, technology evolution, mergers and acquisitions, competitive maneuvers, and newly... more
At a Monday morning scrum meeting, Sam, VP of Data Management, discusses plans to modernize current on-premises data infrastructure to a cloud-based data warehouse and data lake. This IT-led modernization project will achieve scalability, elasticity, agility, and bring it better performance. Part of the project plan includes a data ingestion and processing framework to process... more
This is the age of digital transformation. Organizations are investing in upgrading their systems and business environments to cope with the challenges of an explosion of data—coming from streaming devices, new application technology, and other means—by turning to next-generation innovative solutions around IoT, enterprise data catalog, artificial intelligence (AI), and more. But the form of... more
Today most organizations are using cloud to accelerate and transform their business. Informatica is helping organizations manage their data in the cloud with the next generation of integration platform as a service (iPaaS), Informatica Intelligent Cloud Services (IICS). IICS provides a complete, modular, end-to-end solution for managing data in hybrid cloud and multi-cloud environments. Engineered... more
AI and analytics are clearly big trends in 2020. Many organizations are investing in AI and analytics in the cloud—modernizing data warehouses and data lakes—with the goal of achieving dramatic improvements in performance and competitive advantage. But are they building the right data foundation to achieve their goals? In “Reengineering Work: Don’t Automate, Obliterate,” an... more
The Rise of API Management In a previous post, I discussed application performance interface (API) strategy, focusing on an API-first approach and the importance of managing your APIs with an API hub. I also described the main building blocks for an API hub: a manager, a gateway, and a portal. But, you might ask, what... more
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
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
According to Internet World Stats, as of June 2019, about 4.5 billion people in the world are connected to each other. I saw this first-hand during my recent trip to India. No matter where you are, you will see some form of connectivity. Even in the most poverty-stricken areas you will see satellite dishes strapped... more