Building Fast Data Compression Code for Cloud and Edge Applications
Finding efficient ways to compress and decompress data is more important than ever. Compressed data takes up less space and requires less time and network bandwidth to transfer. In this article, we’ll discuss the data compression functions and the latest improvements in the Intel® Integrated Performance Primitives (Intel® IPP) library. [READ MORE...]
Featured Stories
The Role of the Modern Data Scientist — And How Everyone Has the Power to Become One
In this contributed article, Arijit Sengupta, Head of Einstein Discovery at Salesforce, explains - given the role of the modern data scientist, everyone has the power to become one. We aren't that far off from a future when everyone will have the tools to be considered a citizen data scientist. [READ MORE...]
The Cost of Updating Older Data Centers for Big Data Needs
In this contributed article, freelance human Avery Phillips suggests that before your company makes the leap to update your servers and other data-center equipment for the needs of your big data deployments, make sure you understand the challenges ahead. [READ MORE...]
Data Governance Secrets, Revealed
Our friends over at data governance provider Collibra prepared the infographic below containing some great survey insights on this evolving role of the CDO, including what's working for them in their Data Governance journey and what are some of the challenges they face. [READ MORE...]
Featured Resource
AI, Analytics and the Future of Your Enterprise
Tapping into the power of big data and analytics can be daunting. Download a new white paper from Pure Storage that explores how to jump into the world of big data and emerging AI technology, and take advantage of its benefits. The company's research of emerging trends revealed three challenges of big data, and opportunities therein.
Industry Perspectives
Why Hospitals Need Big Data to Improve Patient Experience
In this special guest feature, Senem Guney, PhD, CPXP, Founder and Chief Experience Officer at NarrativeDx, discusses why hospitals need big data to improve patient experience. Hospital administrators seeking to provide excellent patient experiences need to understand responding to patients as a big data problem and arm themselves with the necessary technology solutions. [Read More...]
High Performance Computing: Answering the Big Data Dilemma
In this special guest feature, Jeff Reser, Global Product Marketing Manager of SUSE, suggests that as HPC’s prowess in business expands, so does its ability to solve a variety of data management problems. Individuals struggling to tackle Big Data’s most complex challenges should increasingly look at HPC to deliver the power and sophistication required to manage large volumes and varieties of data. [Read More...]
Featured from insideHPC
- ESnet’s Science DMZ Could Help Transfer and Protect Medical Research DataThe Science DMZ architecture developed for moving large data sets quick and securely could be adapted to meet the needs of the medical research community. "Like other sciences, medical research is generating increasingly large datasets as doctors track health trends, the spread of diseases, genetic causes of illness and the like. Effectively using this data […]
News from insideHPC
- Intel to Ship Neural Network Processor by end of year
- ESnet’s Science DMZ Could Help Transfer and Protect Medical Research Data
- Call for Contributions: PEARC18 in Pittsburgh
- Jesús Labarta from BSC to receive Ken Kennedy Award
- Video: The AI Initiative at NIST
- OpenSFS Announces Maintenance Release 2.10.1 for Lustre
- HPC Software Stacks: Making High Performance Computing More Accessible
Editor’s Choice
Is 2017 the Year of GPU Databases?
In this special guest feature, Ami Gal, CEO of SQream Technologies, discusses how GPUs and databases are a match made in IT heaven and how GPU databases are poised to take over high performance compute. The reasoning is simple: GPUs can read and process data at speeds far greater than CPUs and are increasing in performance at a rate of roughly 40% per year (equal to the growth rate of data). [Read More...]
Big Data or Small Data? The Correct Answer is Both
In this special guest feature, Dr. Ricardo Baeza-Yates, CTO at NTENT, discusses how it’s not enough to weigh data decisions on the descriptor of big versus small alone - a number of other things must be considered. [Read More...]
The Difference Between Data Science and Data Analytics
In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business. [Read More...]
Should You Use Python or R for Your Programming Language?
In this contributed article, technology writer and blogger Kayla Matthews discusses the age-old "R vs. Python" debate that has circulated around in the data science community for the past few years. "When it comes to choosing a programming language, there really are only two choices if you’re working with data. For data science, machine learning, statistics, IoT technology and even automation, the two best languages to use are Python and R." [Read More...]
The Exponential Growth of Data
This is the first entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the changing data landscape and realizing a scalable data lake, as well as offerings from HPE for big data analytics. The first entry is focused on the recent exponential growth of data. [Read More...]
