More is expected of databases today than ever before. They must simultaneously operate with extreme efficiency while opening the door to innovative opportunities like artificial intelligence (AI). For this reason, businesses should consider a database that is both powered by, and built for, AI. It should be powered by AI to help increase optimization and … Continue reading How enterprises benefit from a database powered by and built for AI
Tag: Data Science
Data scientists are one of the most valuable teams a company can have. But some businesses overlook how important it is to equip their data scientists with the tools that can help them unlock value from data. In particular, it is essential that companies remain adaptive and agile when taking in vast amounts of unstructured … Continue reading How a data warehouse appliance can help your data scientists deliver insights faster
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
What is Hadoop? Apache Hadoop is open-source software that facilitates a network of computers to solve problems that require massive datasets and computation power. Hadoop is highly scalable, that is designed to accommodate computation ranging from a single server to a cluster of thousands of machines. While Hadoop is written in Java, you can program … Continue reading Hadoop for Data Science
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