Any baseball fan knows that analyzing data is a big part of the experience. But data analysis in sports is now taking teams far beyond old-school sabermetrics and game performance. The market for sports analytics is expected to reach almost $4 billion by 2022, as it helps a variety of sports organizations in a range of areas. Here’s how analytics have, and will, become more prevalent in the industry.
It’s been almost a decade since blockchain technology made its debut. Since then, blockchain has evolved more quickly than anyone could have anticipated. It was designed to be a decentralized tool with potentially dozens of applications. Blockchain startups have attracted billions in venture capital and everyone—from banks to supply chains—is exploring blockchain-based projects.
Sharing has been a fundamental human trait since our early days. From farmers who shared their crops to the neighbor who lends you her power tool, we have an innate desire to help each other. The sharing-economy business model formalizes this, and opens up new opportunities for engagement.
The 2018 Hortonworks’ DataWorks Summit events offered me a unique opportunity to talk to customers about the technology zeitgeist. I attended the Hortonworks events in Singapore and Japan, and I came away with a clearer understanding of several emerging technology trends in Asia that are shaping the future of business and fuelling the adoption of hybrid cloud.
Deep learning skills are often portrayed as a dark art. There’s a common misconception that you need a PhD or a high level of technical expertise to use deep learning—and that’s no longer the case. While deep learning can involve complex algorithms and computational processes, developers and scientists are creating user-friendly applications and high-level methods to help your organization get started with this technology.
It is that time of the year – to call out predictions and trends for the year. The two hot areas that are enabling digital transformation across all industry verticals are IoT and edge computing. Let us look at what to expect in 2019 and beyond for IoT. In this post, I am going to focus only on the B2B IoT space and not on the consumer IoT side.
Insurance risk assessments rely on having a rich history of data and accurate information on current conditions. The more we know about what happened in the past, the more we can predict risk in the future. But what happens when a future without precedent rushes headlong to meet us?
It’s not just a new year. It’s a new era. Yesterday we were Hortonworks. Today, with the formal completion of our merger, we are Cloudera – which is now the second largest open source software company in the world.
The HiveWarehouseConnector (HWC) is an open-source library which provides new interoperability capabilities between Hive and Spark. In practice, Hive and Spark are often leveraged together by companies to provide a scalable infrastructure for data warehousing and data analytics. However, as they both continue to expand their capabilities, interoperability between the two becomes difficult. HWC is positioned to maintain interoperability between the two, even as they diverge.
Hadoop is the most popular open source framework for the distributed processing of large, enterprise data sets. It is heavily used in both on-prem and on-cloud environment. Deep learning is useful for enterprises tasks in the field of speech recognition, image classification, AI chatbots, machine translation, just to name a few. In order to train deep learning/machine learning models, frameworks such as TensorFlow / MXNet / Pytorch / Caffe / XGBoost can be leveraged.
