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?
Tag: Data Science
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
Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications. Financial applications must monitor events to help counter … Continue reading New hyper-fast data ingestion enables smarter decisions
Information analytics has never been a “one size fits all” proposition. That applies to the hardware and software technologies organizations employ, the information being parsed and the goals of specific projects. So it’s worth examining how individual vendors approach analytics and the way they evolve their solutions and services to reflect changes in commercial markets. … Continue reading IBM launches new Integrated Analytics System with Machine Learning
Everywhere you go today, people are looking down at a mobile device. They are online, browsing, collaborating, shopping for goods and services and transacting business. And not just consumers are using them. Mobile devices are also being used extensively in business-to-business transactions. Customers and prospects have become empowered in the online world. Social networks and … Continue reading Why big data?
Cloudera Data Science Workbench (CDSW) provides data science teams with a self-service platform for quickly developing machine learning workloads in their preferred language, with secure access to enterprise data and simple provisioning of compute. Individuals can request schedulable resources (e.g. compute, memory, GPUs) on a shared cluster that is managed centrally. While self-service provisioning of … Continue reading New in Cloudera Data Science Workbench 1.2: Usage Monitoring for Administrators