Day: March 16, 2020

How COVID-19 postponed NASA’s Mars mission

How COVID-19 postponed NASA’s Mars mission

Credit:
The Conversation (edited)

In the five decades since we first started sending spacecraft to Mars, exploration of the red planet has had a poor record of success. It is only in the last few years that we have come to expect that the number of successes greatly outweighs the failures.

This is why the decision to postpone the launch of ExoMars 2020 for two years should be regarded as responsible and sensible. Obviously, it is disappointing that this mission – a joint one between European Space Agency (ESA) and the Russian Space Agency Roscosmos – has been delayed. But

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Where to look for cost savings in the cloud

The potential to save money is by no means the only reason for moving to the cloud. Many companies cite potential benefits such as greater agility, easier scalability, and even improved security as drivers for shifting data and applications to a cloud environment.

A cloud migration can actually end up increasing expenses for companies in certain areas, especially if a lot of updates and maintenance are required. Still, there are clearly lots of ways organizations can save money by moving data, applications, development, and other components of IT to cloud-based services.

Following are six examples of how enterprises can achieve

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What is Apache Spark? The big data platform that crushed Hadoop

Apache Spark defined

Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools. These two qualities are key to the worlds of big data and machine learning, which require the marshalling of massive computing power to crunch through large data stores. Spark also takes some of the programming burdens of these tasks off the shoulders of developers with an easy-to-use API that abstracts away much of the grunt work of

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What is Apache Spark? The big data platform that crushed Hadoop

Apache Spark defined

Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools. These two qualities are key to the worlds of big data and machine learning, which require the marshalling of massive computing power to crunch through large data stores. Spark also takes some of the programming burdens of these tasks off the shoulders of developers with an easy-to-use API that abstracts away much of the grunt work of

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