Since the 1960s, scientists have been forecasting the weather using satellite-captured imagery. Although access to these satellite feeds used to be reserved just for meteorologists, these days anyone can jump online to find current satellite footage for their area. But what if you wanted to take things a step further? Maybe you’re curious about the history of weather events, or want to create a real-time feed for where you live.

If you’ve spent any time reading the round-up of 2018 technology predictions, you’ve likely seen Artificial Intelligence (AI) highlighted in nearly every one. The reason for this is because AI has a seemingly limitless number of applications and use cases for the enterprise. In fact, according to Gartner, over 85% of customer interactions will be managed without a human by 2020.

For those who are familiar with my previous Talend blogs perhaps you’ve noticed that I like to talk about building better solutions through design patterns and best practices. My blogs also tend to be a bit long. Yet you read them; many thanks for that! This blog is going to focus on methodologies as they apply to Talend solutions.

Not long ago, Forrester Research named Google Cloud the leader in their report, The Forrester Wave™: Insight Platforms-As-A-Service, Q3 2017 — and we couldn’t have been more proud. Without question, Google BigQuery has played a large role in this achievement.

Usually, predictions for a new year are brimming with optimism for a future yet unfurled. But 2018 is a roaring exception, given it’s the grand finale of decisions made back in 2016. Yes, perhaps we should have seen much of this coming, but few did. Hold onto your hats, because 2018 is almost upon us and it’s going to be a rough ride. The good news is that we’ll likely all be better off on the other side for having gone through these ‘data growing pains.’

When a disaster strikes and takes down the IT systems that are essential to operations, the IT team is often called on to enable a quick recovery. A disaster recovery plan (DRP) can help get systems back online quickly and efficiently. This plan documents the procedures required recover critical data and IT infrastructure after an outage.

Next-Generation Release Provides Integration With Spark for Data and Stream Processing and Kafka for Data Ingestion in Real Time