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Big data analytics is the often complex process of examining big data to uncover information — such as hidden patterns, correlations, market trends and customer preferences — that can help organizations make informed business decisions. On a broad scale, data analytics technologies and techniques provide a means to analyze data sets and take away new information—which can help organizations make informed business decisions. Business intelligence (BI) queries answer basic questions about business operations and performance. Big data analytics is…

The Industrial Internet of Things (IIoT) can be a force for good in helping organisations to drive sustainable initiatives forward. Companies now need to look at reducing material usage, increasing reuse and lessening corporate carbon footprints as commercial imperatives on top of being the right thing to do. New digital technologies are powering the Fourth Industrial Revolution (4IR) and IIoT lets companies reduce waste, cut costs, extend machine lifetimes and be ethically sound into the…

“Nowadays companies do not just talk. They are doing AI. So this new strategy is transforming the business and impacting the industry,” Ning said. “In a few months, by 2021, the majority of the enterprise applications may already have, or are going to have AI features to help users better understand their data. The industry progressing from traditional tools into intelligent systems in terms of autonomous capabilities in search and control environments, in warehouse support,…

The data warehouse has proven to be a useful and resilient approach to report and understand an organization’s operations with a history that runs decades. Before data warehousing, reporting and provisioning data from disparate systems was an expensive, time-consuming and often futile attempt to satisfy an organization’s need for actionable information. Data warehousing promised clean, integrated data from a single repository. The ability to connect a wide variety of reporting tools to a single model…

Big data is what drives most modern businesses, and big data never sleeps. That means data integration and data migration need to be well-established, seamless processes — whether data is migrating from inputs to a data lake, from one repository to another, from a data warehouse to a data mart, or in or through the cloud. Without a competent data migration plan, businesses can run over budget, end up with overwhelming data processes, or find…

For many organisations, cloud computing is now a fact of life. Over the years, it’s established a reputation as the key to achieving maximum agility, flexibility and scalability. The benefits of cloud technologies like big data are well documented. Organisations that adopt them are able to scale up and scale down their data storage and compute capacity as needed. This provides a new level flexibility for dynamic workloads, enabling the business to take advantage of…

With Internet of Things (IoT) networks continuing to add more devices, we explore how to go about developing an effective scaling strategy for IoT. Scaling IoT networks effectively can be easier said than done. While having more devices leads to more connectivity, there is the danger of encountering issues with latency, as well as security. In addition, there is the service that’s being delivered to customers to consider. “From experience, as true scaling starts –…