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At IBM, we understand both the exponential benefits AI can offer your organization as well as the unique challenges implementation can present. In 2018, we formalized the AI Ladder to provide a prescriptive approach to successful AI, and to impart lessons we've learned through over 30,000 AI engagements. From that framework and methodology came IBM … Continue reading Making IBM Cloud Pak for Data more accessible—as a service
Today, we are pleased to announce the general availability of IBM Cloud Pak for Data V3.0. Over the past two years we have advanced our platform from a collection of mostly IBM data services to a robust end-to-end data & AI solution that serves, along with the other IBM Cloud Paks. With V3.0, we take … Continue reading Cloud Pak for Data V3.0 ushers in new leap in AI platform
We live in the age of connectivity. Everyone and everything is constantly connected; yet, in most organizations, business unit planning operates in silos. This fragmented approach is often the result of spreadsheet-driven planning processes, which impede collaboration. As we enter a new era of digital transformation, forward-thinking businesses have strategies that are focused on process … Continue reading Experience faster planning, budgeting and forecasting cycles on IBM Cloud Pak for Data
When hosting your data in the Azure cloud, there is a wide variety of storage services you can choose from. Often, you need to combine multiple of these storage services to build a fully functional cloud system. In this article, you will learn about the main Azure storage services, including tips for optimizing and securing … Continue reading Microsoft Azure Storage Tips for Big Data
Gone are the days when storage of information can only be done with the traditional remote servers which are located in a secluded location. Today, the in-thing is cloud data storage where information and data are stored electronically online. With this approach, you can store unlimited data online (in the cloud) and access it anywhere. … Continue reading 5 Reasons Why You Should Store Big Data In The Cloud
These exploits enable cross-VM and cross-process attacks by allowing untrusted programs to scan other programs’ memory. On Big Data, the only place where users can execute arbitrary code is in the virtual machines that run Apache Spark clusters. There, cross-customer isolation is handled at the VM level. The cloud providers that Big Data runs on, … Continue reading Meltdown and Spectre’s Performance Impact on Big Data Workloads in the Cloud
Synopsis This article introduces a new Apache Hadoop feature called S3Guard. S3Guard addresses one of the major challenges with running Hadoop on Amazon’s Simple Storage Service (S3), eventual consistency. We outline the problem of S3’s eventual consistency, how it affects Hadoop workloads, and explain how S3Guard works. Problem Although Apache Hadoop has support for using … Continue reading Introducing S3Guard: S3 Consistency for Apache Hadoop
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