Today’s public sector organizations and government agencies demand a new standard for communicating and sharing information. That includes data-rich content that moves through environments, networks and locales. From being stored, analyzed and shared, to quickly and effectively moving between environments, to spinning up in clusters and informing endless applications—data is more critical than ever.
How Cloud Computing is evolving alongside Big Data, Analytics, and AI in Financial Services. New technology like Artificial Intelligence (AI), Cloud Computing, big data, and prescriptive analytics are changing the way the Financial Services sector does business. With evolving tech comes both new opportunities as well as different risks, and companies within the space must innovate and embrace new ideas as shifting business conditions and changing consumer preferences dictate new norms.
Medical devices have become increasingly complex as technology evolves, and the sheer number of these devices now being worn or implanted has grown exponentially over the past few years. There are currently over 500,000 different types of smart, connected medical devices in use that have the ability to collect, share, or store private patient data and protected health information (PHI)(1).
The next generation of 5G networks are unlocking a mind-bending array of new use cases. Blistering speed, super low latency, and access to more powerful mobile hardware bring VR, AR and ultra high-definition experiences into sharp focus for the near future. But there’s a bigger shift being driven by 5G, and it’s not actually about speed at all. It’s about re-thinking the modern telco business model.
Navistar is a leading global manufacturer of commercial trucks. With a fleet of 350,000 vehicles, unscheduled maintenance and vehicle breakdowns created ongoing disruption to their business. Navistar required a diagnostics platform that would help them predict when a vehicle needed maintenance to minimize downtime.
Apache Hive supports transactional tables which provide ACID guarantees. There has been a significant amount of work that has gone into hive to make these transactional tables highly performant. Apache Spark provides some capabilities to access hive external tables but it cannot access hive managed tables. To access hive managed tables from spark Hive Warehouse Connector needs to be used.
Over the last 25 years, I have an unparalleled front seat to the digital transformation that is now accelerating in the connected manufacturing and automotive industry. Not many people have had the opportunity to witness the transformation and be as active in this area as I have; I consider myself lucky.
This blog was written in partnership with Navdeep Alam, Senior Director, Global Data Warehouse, IQVIA Healthcare is unique. It isn’t defined like other businesses by how much revenue can be generated, but more in terms of achieving positive health outcomes, better value, and saving lives through the rapid development of new treatments and therapies.
The Cloudera Operational Database (COD) experience is a managed dbPaaS solution which abstracts the underlying cluster instance as a Database. It can auto-scale based on the workload utilization of the cluster and will be adding the ability to auto-tune (better performance within the existing infrastructure footprint) and auto-heal (resolve operational problems automatically) later this year.
A Shift Towards Industry 4.0 Is Improving Manufacturing Efficiency And Increasing Innovation In Part II of our series with Michael Ger, Managing Director of Manufacturing and Automotive at Cloudera, he looks in greater detail at how AI, big data, and machine learning are impacting connected living and the evolution of autonomous driving.
