Deep Learning Reveals New Insights About People

Deep Learning Reveals New Insights About People

Can a computer detect an author’s personality type, based only on a sample of his or her writing? Read more…

Amazon S3 Dominance Spawns Storage Challengers

Amazon S3 Dominance Spawns Storage Challengers

When it comes to storing data, Amazon’s Simple Storage Service (S3) is a runaway success. With trillions of files under management spanning many exabytes worth of data, S3 is the largest digital storage system in the known universe. Read more…

TigerGraph Emerges with Native Parallel Graph Database

TigerGraph Emerges with Native Parallel Graph Database

A startup named TigerGraph emerged from stealth today with a new native parallel graph database that its founder thinks can shake up the analytics market. Read more…

The Data Science Inside the Bloomberg Terminal

The Data Science Inside the Bloomberg Terminal

When it comes to financial data, you can’t find a more recognizable product than the Bloomberg Terminal, which is used by hundreds of thousands of financial professionals around the world. Read more…

Center Stage

The Next Generation Analytics Database – Accelerated by GPUs

As organizations demand more and more from their analytics and data science teams, processing power looms as one of the fundamental roadblocks to easy success.

Organizations are facing a variety of processing-related data challenges: data centers sprawling to hundreds of nodes to provide processing power; data architects turning to convoluted pipelines to accommodate specialized tools; and business users frustrated by slow BI tools and latent results from batch queries.

Read more...

Datanami Headlines

MongoDB Files For IPO

MongoDB Inc. is the latest database software vendor to launch an initial public offering.

The New York-based NoSQL startup announced it has filed a registration statement with the U.S. Securities and Exchange Commission to take the company public. Read more…

Gaining Control Over AI, Machine Learning

As artificial intelligence and machine learning technologies make their way into advanced data management platforms, the emphasis for developers and data scientists is broadening to include not just deployment but “control” of the data accessed by these automation tools. Read more…

U.S. Open Data Push Advances

The push for open government data got a boost this week with passage of a budget bill that includes language codifying open data requirements for the federal government.

Senate passage of the Defense Department spending authorization package included an amendment incorporating the text of the Open, Permanent, Electronic, and Necessary (OPEN) Government Data Act. Read more…

Data Mapping Approach Gains More Funding

The need for speed in aggregating data from different sources is attracting the attention of technology investors who are looking for new approaches to mapping structured and unstructured data in real time and at scale while eliminating the need for data modeling. Read more…

IBM Offers Cloud Storage Via UPS

The rise of streaming analytics, and with it ever-greater volumes of big data in motion, is prompting new ways to “transport” data that is increasing ending up in the cloud.

With an eye on remote users with limited network access, IBM this week literally rolled out a portable data storage device designed to securely migrate as much as 120 Tb of encrypted data to the company’s cloud platform. Read more…

Forrester Reshuffles the Deck on BI and Analytics Tools

The industry upheaval that began in the BI and analytics market several years ago continues to play out, as the aggressive upstarts that displaced the old guard of BI itself gets displaced. Now Forrester Research is jumping into the fray with a new analysis of major players in the market that identifies who’s shaking things up. Read more…

Pivotal Takes Greenplum to the Cloud

Pivotal, the software developer that repositioned its core products in 2015 as open source, rolled out the latest version of its Greenplum platform this week with an eye toward enabling analytics on multi-cloud deployments.

The company also announced two Chinese cloud infrastructure providers, Alibaba (NYSE: Read more…

Apple Puts a ‘Neural Engine’ Inside the iPhone

Deep learning is integrated into Apple’s new iPhone X in a big way. In fact, the company has embedded deep learning capabilities right into the hardware with its new A11 Bionic chip, a CPU-GPU combo processor that Apple calls a “neural engine.” Read more…

The Data Science Behind Dollar Shave Club

Dollar Shave Club burst onto the men’s hygiene scene in 2011 with a hilarious video and preposterous business plan: selling subscriptions for razor blades at a ridiculously low price. Six years later, the company keeps getting laughs with viral YouTube spots, while a sophisticated Apache Spark-based data mining operation running on Databricks’ Read more…

AWS Partner Ryft Leverages Cloud FPGAs

As more data moves to the cloud, analytics vendors are also embracing new cloud technologies designed to boost performance for emerging workloads such as business intelligence.

With that in mind, analytics specialist Ryft Systems Inc. Read more…

Iron Mountain Adds Cloud Data Management

Iron Mountain Inc., the data backup vendor, this week rolled out a cloud storage platform offering enterprises data protection and recovery capabilities. The hybrid data management scheme combines cloud storage with the ability to manage policies governing data access while accelerating the migration of ever-larger data sets to the cloud. Read more…

What Fast Forward Labs Brings Cloudera

During the big data land grab of 2014, everybody seemed to have become a data scientist, practically overnight. Despite the circus-like atmosphere, Hilary Mason and her new applied data analytics firm, Fast Forward Lab, rose above the din. Read more…

A Four-Phased Approach to Building an Optimal Data Warehouse

If you’re planning to create a data warehouse, make sure you create one that is cross-functional and provides a long-life foundation for data provision and decision support. This means covering the entire enterprise and satisfying the needs of multiple projects and groups for several years. Read more…