By Reed Peterson, Field CTO, Telecom, DataStax - It’s one thing to deliver performance and new services that impress customers, but doing so at the scale of one of the largest wireless carriers in the world and at the speed required to compete in a cutthroat industry requires data – petabytes of it. As well as a clear understanding of how to take full advantage of it in real-time.
By George Trujillo, Principal Data Strategist, DataStax - Web3 is now firmly established as the technology ecosystem that lets developers build decentralized applications. But its reliance on blockchain technology has also raised concerns about its ecological impact.
By George Trujillo, Principal Data Strategist, DataStax - Think about your favorite recipe. You might have all the ingredients for an apple pie, but there’s no guarantee all the elements will come together to produce a delicious dessert. Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down.
By Chet Kapoor, Chairman and CEO, DataStax - Think about an organization where, at each moment, a recommendation engine is talking to every part of the business – sharing immediate data on live sales and inventory, the purchasing pipeline, and all the context that impacts the business (market conditions, supply chain issues, even weather). This is nirvana. Enterprises that rely on processing data in batches and depend on analysts to review dashboards cannot deliver data-driven actions when it matters most – and they will be left behind.
By George Trujillo, Principal Data Strategist, DataStax - If, as Gartner puts it, an operating model brings the broader business model to life, then execution patterns are an important part of breathing life into an operating model. Patterns maintain consistency when executing on the operating model. Mike Tyson is often quoted as saying, “Everyone has a plan until they get punched in the mouth.”
By Cori Land, Corporate Strategist, DataStax - Data creates the context for decision-making. As you approach data saturation, your decisions become more likely to win. If you have anything less than data saturation, your decisions are made with more uncertainty than need be. That could be acceptable if the risk of getting it wrong is acceptable. But if precision matters, you’ll need more context. There are two dimensions to data saturation: breadth and depth of coverage.
By Ed Anuff, Chief Product Officer, DataStax - When it comes to digital transformation, data architectures have gotten short shrift. Many enterprises have focused on modernizing by moving applications to the cloud, or building ecommerce offerings (if they are retailers). But in many cases, data has been left out of the digital transformation story because data systems tend to be large, monolithic, fragile, and difficult to deal with—in other words, there are significant risks to the business if the modernization process doesn’t go as planned.
By Thomas Been, Chief Marketing Officer, DataStax - The concept of real-time data has been around for a while. “Reactive apps” were promoted in the early 2000s as the next big thing that would drive customized experiences for customers and increase enterprise competitiveness. Back then, it was a great vision--but it was just that, a vision.
By Chet Kapoor, Chairman and CEO, DataStax - Data is critical to enabling developer productivity, building powerful customer experiences, and driving revenue. But many of the enterprise technology leaders I speak with face the same obstacle when it comes to harnessing their data: complexity.
By Bryan Kirschner, Vice President, Strategy at DataStax - With today’s talk of inflation, it’s worth taking a moment to acknowledge the relentlessly favorable economics of our industry. Since well before my father was programming mainframes and I was learning to code on a Commodore 64, we in tech have benefited from continuously improving price-performance.