Why Deep Learning May Not Be So ‘Deep’ After All

Why Deep Learning May Not Be So ‘Deep’ After All

Deep learning has given us tremendous new powers to spot patterns hidden in great globs of data. For some challenges, neural networks can even outperform top human experts. Read more…

A Decade into Big Data

A Decade into Big Data

2016 marked the 10-year anniversary of Hadoop, a name closely associated with “Big Data.” Prior to the advent of Big Data, companies invested in solutions that were not forward-looking; Read more…

Blockchain At Heart of Personal Data Monetization Service

Blockchain At Heart of Personal Data Monetization Service

Tired of giving your valuable personal data to Google or Facebook? Plenty of people are, and now a company called Algebraix Data is building a Blockchain-based network that will allow people to sell their personal data to advertisers in exchange for crypto currency. Read more…

Embracing the Future – The Push for Data Modernization Today

Embracing the Future – The Push for Data Modernization Today

There is growing recognition that businesses today need to be increasingly ‘data driven’ in order to succeed. Those businesses that can best utilize data are the ones that can better serve their customers, out-compete their competitors and increase their operational efficiency. Read more…

Datanami Headlines

Heap Helps Avoid ‘Adobe Blackouts’ with Hosted Analytics

Heap today unveiled a new iteration of its cloud-based analytics offering that’s designed to automatically ingest, normalize, and analyze user interaction and customer behavior data from a variety of sources. What’s more, Heap says its new “Insight Platform” Read more…

MariaDB, Tableau Partner on Multiple Workload Types

MariaDB Corp., the open source database, has been integrated with Tableau Software’s business intelligence and visual analytics platform. The combination means Tableau users could run both operational and transactional workloads, the partners said this week. Read more…

Self-Serve Platform Promotes Collaboration

Among the goals of self-service big data analytics vendors is unifying the entire technology stack to allow business analytics to glean insights from data lakes. Combining the ability to run natively on Hadoop clusters and leveraging existing Spark deployments to preserve technology investments, one player in the self-service platform sector also claims to provide data preparation, visualization and other tools to quickly scan millions of rows and terabytes of scattered data. Read more…

Apple Releases Turi ML Software as Open Source

Apple last week released Turi Create, an open source package that it says will make it easy for mobile app developers to infuse machine learning into their products with just a few lines of code. Read more…

Data Prep Goes Serverless

The rise of platforms in which cloud providers manage the allocation of computing and storages resources has opened the door to new data services such as serverless data preparation tools. The list of self-service data preparations tools is growing as vendors offer varying approaches to whipping raw data into shape for analysis. Read more…

Alteryx Repositions for Analytic Tool Consolidation

Alteryx is best known for developing data preparation and blending tools. That’s its historical position of strength in the market. But the vendor aims to change that in the future as it builds its platform and widens its offerings in a bid to steal the thunder from competitors and their best-of-breed tools. Read more…

Translytical Databases Hit the Ground Running

The push for operational analytics that seeks to eliminate the requirement for constantly moving data between storage and databases to support transaction and analytical workloads is fueling the growth of translytical data platforms. The framework uses a single data tier that can serve both transactional and analytical workloads. Read more…

Hadoop 3.0 Likely to Arrive Before Christmas

It’s looking like big data developers will get an early holiday present as work on Hadoop version 3.0 nears completion. And while Hadoop 3.0 brings compelling new features, including a 50% increase in capacity and upwards of a 4x improvement in scalability, more exciting stuff – like support for Docker, support for GPUs, and an S3-compatible storage API —   Read more…

Google AutoML Claims Machine Vision Advance

Google has taken the first steps toward enabling machines to build their own AI models, an advance that prompted one observer to note: “Machines may end up being better coders than humans.”

Google unveiled its AutoML effort in May to little fanfare, mostly observers said, because few grasped the significance of the concept. Read more…

90 Million Swings Later – Cracking the Secret of the Perfect Golf Swing

Golf is a notoriously difficult sport, despite how easy the guys on the PGA Tour make it look every weekend. But thanks to the power of big data and advanced analytics, amateurs have powerful new tools to emulate their swings and improve their handicaps along the way. Read more…

A Look at the Graph Database Landscape

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy. Since seeing early adoption by companies including Twitter, Facebook and Google, graphs have evolved into a mainstream technology used today by enterprises in every industry and sector. Read more…

Machine Learning ‘Arms Race’ Ahead, McAfee Warns

Machine learning is becoming an essential tool for helping cyber defenders detect vulnerabilities, spot suspicious behavior and contain exploits. At the same time, hackers are using machine learning to spot vulnerabilities, launch attacks and disrupt models used by defenders. Read more…

AWS Unleashes a Torrent of New Data Services

If you like your technology enhancements on the fast and furious side, you undoubtedly liked what you saw during AWS CEO Andy Jassy’s keynote address this morning, when he unveiled nearly a couple dozen new or improved services for the world’s largest cloud. Read more…