The cloud is growing more and more popular each day. We are in an era where there is a prominent trend of companies migrating from traditional on-premise systems to more reliable and fast cloud-based systems. However, the conversion is still not rampant on a large scale, primarily due to the lack of awareness in the up-and-coming businesses about the cloud’s fundamentals. However, the cloud has proven to be a sound and worthy option time and time again.

The cloud data platform combines data warehouse and data lake capabilities to support the exploding world of analytics. Like a data warehouse, the cloud data platform structures, transforms, and queries data. Like a data lake, it classifies multi-structured data objects in an elastic object store. The cloud data platform provides an ideal launchpad for modern business intelligence (BI) projects that need fast, flexible access to lots of varied data. As you might expect, this is a tall order to fill.

Cloud-to-cloud migration can be an expensive, cumbersome, and overwhelming process with no guarantee of success. Yet, moving data from cloud to cloud is becoming more and more common in the public sector as operations are being migrated to the cloud more completely. Factors like complexities in environments, sheer volume of historical data, and application nuances can greatly impact the success or failure of a cloud migration effort.

We are excited to announce that Integrate.io has achieved Google BigQuery designation! Google's BigQuery service is a great way to store and analyze large amounts of data. To ensure customers have confidence in their integration, Google engineers do validation tests on the integrations before they're allowed into their system - making sure everything works as expected!

In today’s fast-paced, digital-first economy, companies must continually find ways to innovate and remain relevant. Amazon Web Services (AWS) cloud computing platform gives companies the tools to be agile in a competitive environment and keep up with customer demand. This guide discusses what is AWS, its most common use cases for the cloud infrastructure, and what services AWS offers to support a digital transformation.

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.