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Nvidia Sees Green in Data Science Workloads

Nvidia Sees Green in Data Science Workloads

We already knew that GPUs are useful for lots of things besides making Fortnite uncomfortably realistic. All the biggest supercomputers in the world use GPUs to accelerate math, and more recently they’ve been used to power deep neural networks in public clouds. Read more…

4 Apache Cassandra Pitfalls You Must Avoid

4 Apache Cassandra Pitfalls You Must Avoid

The distributed nature of Apache Cassandra – boasting an architecture that avoids any single point of failure – enables the open source database to deliver the high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases. Read more…

Big Data, Big Problems? Responsible Data Management in 2019

Big Data, Big Problems? Responsible Data Management in 2019

If 2018 taught us one thing about data collection, it would be the existence of a distinct and profound line between companies using data for good and those whose business model relies on its exploitation. Read more…

Datanami Career Notes: March 2019 Edition

Datanami Career Notes: March 2019 Edition

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Read more…

Datanami Headlines

RAPIDS Momentum Builds with Workstation Support

Nvidia’s RAPIDS data science libraries picked up additional support this week, including integration with Databricks’ analytics platform and OEM backing for new high-end workstations aimed at data scientists using RAPIDS and other machine learning languages. Read more…

Focus Your AI on Business Value, Not Predictive Accuracy, Aible Says

If you’re building your machine learning models to optimize accuracy, then you’re probably doing it wrong. That’s the message coming from Aible, an ML company that emerged from stealth today with new software designed to optimize ML decision-making around economic value, not accuracy. Read more…

High Growth Companies Extending Their Lead with AI

Knowing what to invest in has always been a key differentiator in business. Those that do it well tend to thrive, while those that do it poorly tend to stagnate and die. These days, fast-growing companies are choosing to invest more in artificial intelligence than their low-growth brethren. Read more…

Rethinking Architecture at Massive Scale

Scale is the eye of the beholder. You might think your cluster is a powerful beast, but it likely pales in comparison to the system built by the folks at The Trade Desk, which spends $90 million year on hardware and broke Rack Space’s cloud. Read more…

Signal Modulation is Boosting Fiber Capacity

Optical fiber and emerging modulation schemes are making it possible to transmit ever-larger amounts of data through fiber-optic pipes. Recent industry demonstrations and government research efforts also have demonstrated novel approaches for moving more data through optical fiber networks as well as boosting the efficiency of scare spectrum. Read more…

Can AIOps Save IT Management?

IT professionals are struggling to keep up with the demands of today’s modern applications and infrastructure. Rising use of containers and distributed systems – not to mention the big data explosion itself – is putting enormous pressure on IT staffs to keep it all running. Read more…

War Unfolding for Control of Elasticsearch

Amazon Web Services on Monday announced that it’s partnering with Netflix and Expedia to champion a new Open Distro for Elasticsearch due to concerns of proprietary code being mixed into the open source Elasticsearch project. Read more…

Getting Ready for Real-Time Decisioning

There is no end in sight to the growing amounts of data in today’s digital world. By 2020, analysts project there will be 6 billion smartphones and 50 billion telematics devices as an ever-increasing number of people access the internet and devices go online to communicate in a connected world. Read more…

Augmented Analytics Driving ‘Smart’ Data Market

Emerging tools like augmented analytics are expected to drive the “smart data” market to more than $30 billion over the next several years, a market forecaster predicts.

Frost & Sullivan pegs the smart data analytics market at $31.5 billion by 2022 in an estimate released Monday (March 11). Read more…

What Makes Apache Spark Sizzle? Experts Sound Off

Apache Spark is one of the most popular open source projects in the world, and has lowered the barrier of entry for processing and analyzing data at scale. We asked some of the leaders in the big data space to give us their take on why Spark has achieved sustained success when so many other frameworks have fizzled. Read more…

Arcadia Data Adds BI Tools, Language Queries

Visual analytics vendor Arcadia Data continues to extend big data search capabilities with AI-driven business intelligence tools that also allow for natural language queries, a capability intended to extend the use of BI to a wider audience of enterprise users. Read more…

A Decade Later, Apache Spark Still Going Strong

Don’t look now but Apache Spark is about to turn 10 years old. The open source project began quietly at UC Berkeley in 2009 before emerging as an open source project in 2010. For the past five years, Spark has been on an absolute tear, becoming one of the most widely used technologies in big data and AI. Read more…

Okera Bolsters Access Control for Unstructured Data

Some of the most interesting data that’s analyzed by organizations is unstructured data, including images, videos, and text files. But the lack of structure of that data poses regulatory challenges to organizations, which face potential legal jeopardy if consumer data rights are violated. Read more…

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