The movement of data into the cloud creates challenges for enterprises who still rely on traditional data integration software or single-purpose data import tools.

DataOps specialist StreamSets is launching new features that help companies efficiently build and continuously operate dataflows that span data centers and the big three cloud platforms -- Microsoft Azure, AWS, and Google Cloud Platform.

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Although a majority of businesses have followed a digital transformation plan, poor top-down communication is proving a barrier to success.

A new report from automation specialist Nintex shows that 64 percent of companies have followed a formal digital transformation plan for three years or less, while a third have followed a plan for one year or less.

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Businesses are under increasing pressure to innovate and modernize their architectures at an unprecedented rate to remain competitive and that often means switching to new platforms.

The latest research from machine data analytics platform Sumo Logic looks at the trends and visibility into the DevSecOps tools and solutions that are being used as organizations modernize and migrate existing applications.

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The agile philosophy is a set of principles that encourage cooperation and dynamic strategies. The agile development philosophy is the best fit for companies that aim to innovate.

These teams leverage creativity and usually break up large projects into small, multi-disciplinarian tasks. Complex problems are broken down into digestible chunks and better solutions are discovered through feedback loops.

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Enterprises often adopt containers as a way to save money. But they can end up spending time, resources and cash building their own container management framework and in the process getting away from their core business objectives.

We spoke to Kieron Sambrook-Smith, chief commercial officer at cloud application specialist Platform.sh, to discuss why enterprises tend to lose sight of business goals in order to manage containers, and the strategies they can implement to stop distracting their developers from doing what they do best, writing code.

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In the beginning, workloads, tools, and requirements for big data were simple because big data wasn’t really all that big. When we hit 5TB of data, however, things got complicated. Large data sets weren’t well suited to traditional storage like NAS, and large sequential reading of terabytes of data didn’t work well with traditional shared storage.

As big data evolved, the analytics tools graduated from custom code like MapReduce, Hive, and Pig to tools like Spark, Python, and Tensorflow, which made analysis easier. With these newer tools came additional requirements that traditional big data storage couldn’t handle, including millions of files, read-writes, and random access for updates. The only constant was the data itself.

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The current feeling is that the chances of a company being hacked is a matter of when rather than if, but businesses continue to struggle with how to actually measure if their security solutions are working.

Security ratings company BitSight is launching a new tool that will help customers identify the optimal course of action needed to improve their overall risk posture.

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Most businesses have critical applications that are vital to their remaining in operation. But support for these programs is a mixed picture according to a new report.

The study from application availability specialist SIOS Technology finds 86 percent of organizations are operating their high availability (HA) applications with some kind of clustering or high availability mechanism in place.

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According to a new study, 32 percent of UK business and IT decision makers think their business leaders don't understand the role of data and the value it creates.

The research from analytic database firm Exasol finds 80 percent of organizations are unable to function without their data sources, with 25 percent being totally reliant on data to drive daily operations and decision-making.

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Businesses need easy and fast access to information in order to make effective decisions, but with the rise of big data important information can be hard to access and remain locked away.

Visual analytics specialist Arcadia data has announced new search-based BI and analytics which will be available in an upcoming release of its flagship product, Arcadia Enterprise.

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The protection of human identities tends to be high on the agenda for organizations, but what about machine identities?

Recent increases in the number of machines on enterprise networks, shifts in technology, IoT devices and new computing capabilities have created a set of challenges that require increased focus on protecting machine identities.

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Artificial intelligence for operations (AIOps) is gaining ground, allowing businesses to use AI and machine learning on big data from their devices and IT tools to find and address problems in real time.

Pioneer in the field Moogsoft is launching a new tool that extends its core AIOps platform capabilities from centralized analytics outwards to the data source.

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As technology makes many workplaces more fragmented with staff out in the field or working from home, keeping everyone up to date with company activity can become a major challenge.

Workforce communications platform SocialChorus is aiming to provide a seamless and scalable experience for internal communicators with the launch of its new Innovation Lab.

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Everyone is aware that cybersecurity threats are out there, but what are the biggest threats and are IT and business executives worried about the same things?

New research from data security specialist Varonis highlights some major differences -- and potential challenges -- when it comes to communicating and aligning on key threats.

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The first half of 2018 has seen a 94 percent rise in fileless malware attacks according to the latest Enterprise Risk Index Report from endpoint security company SentinelOne.

It also finds that PowerShell attacks jumped to a record of 5.2 attacks per 1000 endpoints, compared to 2.5 in May. Ransomware attacks remain popular too, ranging from 5.6 to 14.4 attacks per 1000 endpoints.

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