The story of data management has always been about greater simplicity. Organizations that once kept data siloed in different databases have found ways to connect it. When different types of data became more prevalent, such as social media and Internet of Things (IoT) data, that data was integrated, too. All to easily deliver robust insights. … Continue reading How to control costs and simplify life with IBM Hybrid Data Management Platform
As companies look to fully embrace agility as a way of working and doing business, integrated planning is emerging as an ideal way forward. Integrated planning unleashes the power of enterprise performance management across your company to support business and organizational agility. That’s right. Some thought this approach was only for the finance organization. But … Continue reading Modern enterprise performance management for the agile business
A Hadoop cluster can be defined as a special type of computational cluster designed to serve the purpose of storing and analysing huge amounts of data that is not structured, in a distributed computing environment. Clusters like this can run on Hadoop’s open source distributed processing software on low cost computers, commodity computers to be … Continue reading Hadoop Clusters
Martec’s law states, “Technology changes exponentially; organizations change logarithmically.” Translation? Technology will accelerate faster than companies can adapt to increasing data growth and adopt new business models. http://www.youtube.com/watch?v=-dd9TEHoi9I In 2019, trends are emerging across industries for business models such as fully managed services. The drivers and challenges for platform modernization include: 1. Explosive data growth … Continue reading Top 3 trends leading to multicloud adoption
If you’ve heard the debate among IT professionals about data lakes versus data warehouses, you might be wondering which is better for your organization. You might even be wondering how these two approaches are different at all. When you’re first learning about data lakes, you may initially feel like you’ve been down this path before. … Continue reading What’s the difference between data lakes and data warehouses?
Big Data Big data simply represents huge sets of data, both structured and unstructured, that can be further processed to extract information. Huge volumes of data are being generated over the internet every second and one machine is not enough to handle all the data which comes in all kinds of formats. It provides keen … Continue reading Difference between Big Data and Cloud Computing
The last two weeks have been really exciting to be part of Big Data and Analytics at IBM. We have just launched IBM Cloud Private for Data, an integrated data science, data engineering and app building platform. Our broader offering, IBM Cloud Private is helping our clients and partners to harness everything cloud has to … Continue reading 3 ways IBM Cloud Private for Data can accelerate your AI and machine learning journey