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Trends and Applications
The business uses for cognitive computing and related technologies, including AI, machine learning, natural language processing, and robotic processing automation, are becoming more widespread than ever. To help readers gain a greater understanding about this emerging area of information technology, the solutions available, and their role in handling real-world challenges, DBTA and Big Data Quarterly present the list of Cool Companies in Cognitive Computing.
Latency is the new outage: It's a phrase that's being thrown around the networking industry—a mantra if you will. It used to be that experience was measured in uptime and downtime. Is Google down right now? Is AWS experiencing an outage in Asia? Can anybody log on to Salesforce? Those days are over. Being up and running is not enough. Applications need to be fast, and the expectation is that every retailer—from Target to the mom-and-pop store down the street—needs to have a digital omni-channel presence with experiences that rival Amazon—a nearly half-a-trillion-dollar global brand.
By taking a proactive stance on the importance of rapid decision making, flexibility, and scalability today, you can future-proof your applications—and operations—by building on top of a data platform that's designed for the modern world and capable of data ingestion to action in under 10 milliseconds. That's the new demand and the new reality.
Today, data is driving business success. Downtime is a killer and even slow response time can be hazardous to business health. But how do organizations achieve the performance and speed that is required today amid growing complexity and rapid data growth?
Columns - Database Elaborations
Within IT, testing has matured as an industry. Many tools exist, and many IT shops have testing groups. But, often those testing groups are unable to assist on data-related projects. The heart of the problem is that the focus of the testing practice has been perverted. The testing industry is concerned primarily with validating code, specifically the kinds of code that interact with people. With data-related projects, the need is to test the accuracy of the data at rest within the structures.
Columns - DBA Corner
Picture this scene: It is a little after 5 p.m. on a Friday and a chat message pops up from my "favorite" application programmer. Something isn't working properly. Yes, that is the message. "Something" isn't working properly. That's all. This is no exaggeration of the types of situations that routinely pop up. Sure, these may not be the exact words, but I'd wager that most DBAs have been on the receiving end of this type of request. So, what should be done in this type of situation?
Columns - MongoDB Matters
MongoDB has had quite a wild ride over the past 10 years and has succeeded beyond expectations. However, what got them here won't get them where they want to be in the next 10 years. I can't wait to see the next phase of MongoDB's technology evolution.
Today's best-in-class applications can provide new or improved capabilities for your MultiValue system. Often these are cloud-based or even mobile applications that can modernize specific areas of your organization. The good news is that Kore Technologies provides a real-time integration platform called Kourier REST that is designed for this purpose.
Rocket Software continues to make strides with its MultiValue suite of products, driven by customer demand and satisfaction. With the goal of attracting and retaining new developer talent, modernization, and improving productivity, Rocket is issuing some maintenance releases for Rocket UniData, Rocket UniVerse, Rocket D3, and introducing Rocket MV BASIC for Visual Studio Code.
Spanning the spectrum of approaches, the DBTA 100 showcases forward-looking companies that are improving and expanding upon existing technologies and processes to help their customers use data more effectively. Several top MultiValue companies land on the list again this year, including Kore Technologies, Revelation Software, and Rocket Software.