Core (Centralized Online Real-time Exchange) Banking is a system that enables a group of bank’s branches to perform transactions between accounts in different branches and share the data in real time.

The timeline of commercial computing can be roughly summarized as: buying computers → renting computers → renting partial computers (virtual servers) → renting partial computers for very short periods (cloud computing).

Apache Spark has become a popular platform as it can serve all of data engineering, data exploration, and machine learning use cases. However, Spark still requires the on-premises way of managing clusters and tuning infrastructure for each job.

Speedscale is delighted to join the Google Cloud Partner Advantage program as a technology partner giving GCP customers the ability to stress test their GKE clusters under production-like workload conditions.

If you’ve had your tent pitched in the tech space for a while, you should know that everyone talks about “the cloud.” About a decade ago, it was sort of an IT buzzword. Now? Cloud software development is the next step in the business software evolution, and the numbers do not lie. Eighty-nine percent of enterprises already use a multi-cloud strategy, with 80 percent leveraging a hybrid approach, combining private and public clouds. But here’s where it gets interesting.

In 2022, retailers are still dealing with the lasting impacts of the global pandemic, including a decreased workforce, supply chain disruptions, and surging inflation. At the same time, now is the chance for a “long overdue great retail reset” that could promote stability and profitability, according to a recent Deloitte report.

At the DataOps Unleashed 2022 conference, Google Cloud’s Head of Product Management for Open Source Data Analytics Abhishek Kashyap discussed how businesses are using Google Cloud to build secure and scalable data platforms. This article summarizes key takeaways from his presentation, Building a Scalable Data Platform with Google Cloud. Data is the fuel that drives informed decision-making and digital transformation.

Businesses and organizations of all types have embraced cloud integration to transform data into business intelligence. The reason for this is simple: more and more business operations are happening in hybrid cloud — or even fully cloud-to-cloud – environments, and without proper tools to manage data in the cloud, data can become siloed, overlooked, or lost altogether.

Whether you agree or not, conventional businesses have become redundant by the advent of technologies like Artificial Intelligence, Big Data, IoT and ML. Today, rapidly changing customer needs are forcing enterprises to evolve, adopt and devise strategies where they can surgically strike offers to a segment of few rather than blast a shotgun of offerings to an uninterested many.

A new year is always a good time to check your expenses. One expense that keeps on climbing constantly in many organizations is related to the cloud expenses, expected to expand up to $1 trillion by 2024, according to IDC. While this can be a good thing, indicating the business is scaling and cloud resources are in high demand, there is often a lot of waste coming from inefficient cloud usage, unnecessary SaaS tooling, endless logs, and more.

Experts from Microsoft, WANdisco, and Unravel Data recently outlined a step-by-step playbook—utilizing a data-driven approach—for migrating and managing data applications in the cloud.