This whitepaper by HGS Digital on Customer Data Platform Vendor Evaluation provides a detailed look at the 10 broad areas and what questions organizations should ask vendors while evaluating the CDP vendors.
A collection of big data white papers reviewed by the editors of insideBIGDATA. Please visit the insideBIGDATA White Paper Library for a comprehensive list of white papers focus on big data strategies.
New Study Details Importance of TCO for HPC Storage Buyers
May 12, 2020 by
Total cost of ownership (TCO) now rivals performance as a top criterion for purchasing high-performance computing (HPC) storage systems, according to an independent study published by Hyperion Research. The report, commissioned by our friends over at Panasas®, a leader in HPC data storage solutions, surveyed data center planners and managers, storage system managers, purchasing decision-makers and key influencers, as well as users of HPC storage systems.
Enterprise Search in 2025
April 27, 2020 by
This white paper by enterprise search specialists Lucidworks, discusses how data is eating the world and search is the key to finding the data you need. The enterprise search industry is consolidating and moving to technologies built around Lucene and Solr. In the next few years we’ll see nearly all search become voice, conversational, and predictive. Search will surround everything we do and the right combination of signal capture, machine learning, and rules are essential to making that work. Fortunately, much of the technology to drive this is available to us today!
The Four Stages of the Data Journey (and how to get ahead)
April 20, 2020 by
Where is your organization on the data journey? Most of us are steadily moving toward the cloud, with most businesses planning to migrate to the cloud or expand their cloud footprint within a few years. But how do you get where you want to go? In this new whitepaper, our friends over at Matillion, the cloud-native platform for all your data integration, take a look at the different stages of the end-to-end journey and learn what it takes to get to the next level.
The Essential Guide: Machine Scheduling for AI Workloads on GPUs
April 6, 2020 by
This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.
NVIDIA’s New Data Science Workstation— a Review and Benchmark
March 18, 2020 by
This new whitepaper from NVIDIA Partner firm PNY Technologies, tests and reviews the recently released Data Science Workstation, a PC that puts together all the Data Science hardware and software into one nice package. The workstation is a total powerhouse machine, packed with all the computing power—and software—that’s great for plowing through data.
Report Reveals Business-Critical Cloud Adoption for Analytics and AI on the Rise, Yet Challenges Remain
January 29, 2020 by
Trifacta, a leader in data preparation and data wrangling, released its “Obstacles to AI & Analytics Adoption in the Cloud” report, which reveals inefficiencies that are hindering analytics and artificial intelligence (AI) adoption in the cloud. The research, which surveyed 646 data professionals across different industries and titles, examines how organizations are handling the increased move of data to the cloud, the obstacles facing data cleaning and analytics and the time constraints endured when preparing data for analytics, AI and machine learning (ML) initiatives.
Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
January 21, 2020 by
This whitepaper from Imply Data Inc. explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.
Introducing Apache Druid
January 17, 2020 by
Sponsored Post Apache Druid was invented to address the lack of a data store optimized for real-time analytics. Druid combines the best of real-time streaming analytics and multidimensional OLAP with the scale-out storage and computing principles of Hadoop to deliver ad hoc, search and time-based analytics against live data with sub-second end-to-end response times. Today, […]
Understanding Intention: Using Content, Context, and the Crowd to Build Better Search Applications
January 8, 2020 by
This white paper by enterprise search specialists Lucidworks, points out that unlike consumer search, which has become a seamless part of our everyday lives, the enterprise side might as well still be running Windows 95. Imagine if Amazon, Google, or Facebook treated every user the same, regardless of who they are, where they are, what they’re searching for, and what they’ve clicked. Your users expect that same sophistication in their enterprise apps.
