Hadoop is a popular enabler for big data. But with data volumes growing exponentially, analytics have become restricted and painfully slow, requiring arduous data preparation. Often, querying weeks, months, or years of data is simply infeasible. Download the whitepaper to learn how to deal with the exponential growth of data, reduce time spent on data preparation, and generate insights faster from ad-hoc queries of raw data.
Accelerating SQL and BI Analytics — Extending Analytical BI with a GPU Database
May 10, 2019 by Leave a Comment
Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. Download the new white paper from SQream DB that explores the features that make GPU databases ideal for BI and incorporates real-world use-cases from actual customer implementations. It also explains how you can turn your existing BI pipeline into a more capable, next-generation big data analytics system using powerful GPU technology.
A Blueprint for Preparing Your Own Machine Learning Training Data
March 15, 2019 by Leave a Comment
Download the new guide from Alegion that acts as a pre-flight checklist for data science teams that are contemplating preparing their own maching learning training data.
Four Real-Life Machine Learning Use Cases: A Databricks guide
December 17, 2018 by Leave a Comment
Databricks Unified Analytics Platform is a cloud-service designed to provide you with ready-to-use clusters that can handle all analytics processes in one place, from data preparation to model building and serving, with virtually no limit so that you can scale resources as needed. Download the new guide that walks readers through four practical end-to-end Machine Learning use cases on Databricks.
Unified Analytics for Dummies: Accelerate AI Innovation
December 14, 2018 by Leave a Comment
In this Databricks e-book, you not only discover how to avoid and overcome the most common challenges impacting AI success, but a new concept is also introduced. Download the new e-book that explores Unified Analytics, a concept that brings together solutions that unify data science and data engineering, making AI much more achievable for enterprise organizations and enabling them to accelerate their AI initiatives.
Report: An In-Depth Look at Big Data Trends and Challenges
October 17, 2018 by Leave a Comment
Qubole, the data activation company, announced the results of its 2018 Big Data Trends and Challenges report — an annual, global survey of IT and data professionals on the trends, challenges, and solutions of big data and machine learning initiatives across the enterprise. The survey found that the value achieved from big data in on-premises […]
The 2018 State of Data Management
September 19, 2018 by Leave a Comment
This is the first edition of the Annual State of Data Management Survey from Profisee. It is an interesting time to begin tracking trends in data management. Data management challenges, whether they be around data quality, information processes, duplicate identification, or enrichment, are not new. Profisee believes that every company with more than a handful […]
3 Reasons to Consider Text Mining
August 14, 2018 by Leave a Comment
A growing number of life science companies use text mining to gather important insights from vast amounts of published information. The results of mining projects inform a wide range of business activities including drug discovery, drug interactions, clinical trial development, drug safety monitoring and competitive intelligence. Download the new Copyright Clearance Center white paper that covers three of the top reasons to consider implementing text mining for life sciences companies.
The Speed of Data: A Survey of Data Decision Makers
August 3, 2018 by Leave a Comment
Streamlio, the intelligent platform for fast data, announced results of a new “Speed of Data” survey conducted with Dimensional Research. The survey of hundreds of corporate decision makers worldwide found near universal agreement about the criticality of faster data processing, along with a huge gap between where companies need to be and where they are […]
Machine Learning in Energy: A Hot Spot in Seismic Processing
July 27, 2018 by Leave a Comment
Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs. Download the new special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies.
