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…

Forrester Reshuffles the Deck on BI and Analytics Tools

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. Read more…

Apple Puts a ‘Neural Engine’ Inside the iPhone

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…

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

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…

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…

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…

Alteryx Tools Aims to Speed Model Deployment

Data analytics vendors continue to push deeper into organizations with tools designed to address the pressing problem of actually getting predictive models deployed into business operations.

Among those promoting the rise of the “citizen data scientist” Read more…

Managing Streaming Flink Apps Is About To Get Easier

Apache Flink has emerged as a powerful platform for building real-time stream processing applications. However, not every organization has the resources to go all in on Flink the way Netflix, Uber, and Alibaba have. That’s why data Artisans, the company behind Flink, is simplifying the management of Flink applications with a new software offering unveiled today. Read more…

Data Migration Speed Bump Smoothed

Fast growth was a both blessing and a curse for Kronos and its cloud-based payroll software service. But thanks to a solution that helped automate migration of clients’ existing payroll data into the cloud, the road looks clear for expansion. Read more…

Machine Learning’s Adoption Gap: Assessing the Consequences

Despite its position as a key element driving big data analytics and artificial intelligence, machine learning is scarcely being adopted by companies at large. That’s the conclusion of a new report on digital transformation conducted by SAP. Read more…

ML Toolkit Aims to Ease Data Scientists’ Pain

As the AI services ecosystem expands, vendors are offering automation tools designed to make life easier for embattled data scientists through toolkits used to build machine and deep learning models, and then move those trained models to production. Read more…