As per Luke Lonergan, Society is becoming more and more instrumented and as a result, organizations are producing and storing vast amounts of data. Companies like Backblaze are handling over 250 Petabytes of data. But still, with over 2.5 quintillion bytes of data being created daily, it appears we will have to keep on growing to keep pace with the growing data demands. This is why we need Cloud Computing and Big Data, says Luke Lonergan.

Why Cloud Computing And Big Data by LUKE LONERGAN

Luke Lonergan San FranciscoCloud computing has been revolutionizing the IT industry by adding flexibility to the way IT is utilized, enabling organizations to pay only for the resources and services they use. In recent years, due to the lower prices of information and communications technology (ICT) equipment and networks, numerous items of data collected from the real world have been stored in cloud data centers. There is a rising hope that analysis of this gigantic amount of data will provide insight that is valuable to both society and businesses. Since tens of terabytes (TBs) of data, big data, should be handled to make full use of it, there needs to be a new type of technology.

It’s always risky to make predictions about information technology’s future. You can either sound wildly optimistic or terribly stuck in your ways. Looking forward, here are some areas where big data in the cloud is likely to continue in its impressive evolution:

New applications of big data will revolutionize the way we do business and manage IT – Luke Lonergan

Even a momentary look at the industry reveals an excited leap of innovation. I think we are at the commencement of a long series of exciting big data in the cloud use. These include advancement in approaches like fraud detection and customer behavior modeling. Also, applications such as predictive maintenance, which uses analytics to keep track of mechanical failures in fields such as oil production and electricity generation, may be round the corner. Some companies are employing big data tactics to monitor increasingly complex application architectures, such as micro-services, a trend that’s rising in tandem with big data.

Fall of the private clouds

As per Luke Lonergan, Public clouds will be paired with private clouds to form a hybrid or multi-cloud, which provides enterprises with more scalability and cost efficiency. The number of firms using private clouds may fall substantively in the coming few years.

Moving data to the cloud will be as easy as copy paste

Data prep solutions and Self-service data integration may have been a rigorous task in the past, but the future methods for pushing data from Web platforms as well as from inside organizations into cloud data ecosystems promise to be as simple as copy/paste. Simple solutions that primarily reduce the complexity of data staging, integration and transformation and focus exclusively on letting business users drop data into desired cloud warehouses and databases are probably around the corner.

Evolution of Specialized infrastructure

One of the great applications of big data is the potential to utilize commodity hardware to scale out massive data sources. There is a possibility that we’ll see more innovation on this front, with hardware makers and platforms already offering infrastructure that is purpose-built for big data in the cloud. As data velocity increases, the networks connecting big data platforms will leverage intelligence tools with the objective to integrate advanced predictive analytics with real-time traffic data on the network that can significantly enhance operational integrity and security.