At the DataOps Unleashed 2022 virtual conference, AWS Principal Solutions Architect Angelo Carvalho presented How AWS & Unravel help customers modernize their Big Data workloads with Amazon EMR. The full session recording is available on demand, but here are some of the highlights.
In this series of demystifying the tech trends, my colleagues and I will be looking at busting the buzzwords to help you keep on track. Concerned about puzzling parlance, analytics argot, techie terminology – or plain old jargon? This series breaks down words and concepts to give you the deepest insight and understanding into how to talk the talk in the world of tech, so you can engage in conversations with the confidence of being data literate.
Ably provides an edge messaging service to deliver data at low latency and power live and collaborative applications on millions of simultaneously connected devices. Our platform runs tens of millions of concurrent, long-running WebSocket and HTTP streaming connections and reaches more than 300 million devices across 80 countries each month. Ably is on track to power realtime digital experiences for one billion devices per month by 2024.
We’re entering the defining decade of data. While every aspect of our lives have been changed by data in recent years, the next ten will see data rebuild the world around us. Every business, in every industry, needs a plan to adapt to this new world if they want to thrive. But how? That’s a question in the minds of data leaders, CEOs, and board members. The right approach is critical if companies want to dominate this new era. The wrong decision can spell disaster.
The timeline of commercial computing can be roughly summarized as: buying computers → renting computers → renting partial computers (virtual servers) → renting partial computers for very short periods (cloud computing).
Apache Spark has become a popular platform as it can serve all of data engineering, data exploration, and machine learning use cases. However, Spark still requires the on-premises way of managing clusters and tuning infrastructure for each job.
Speedscale is delighted to join the Google Cloud Partner Advantage program as a technology partner giving GCP customers the ability to stress test their GKE clusters under production-like workload conditions.
