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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

Pivotal Extends GreenPlum, PostgreSQL on Cloud Foundry

A new distribution of the GreenPlum parallel processing analytic database adds enterprise use cases spanning AI, transactions and stream processing.

Along with its latest version of GreenPlum, Pivotal Software also unveiled an open-source Postgres platform targeting applications such as transactional workloads and prototyping. Read more…

Rockset Cranks Up Serverless Analytics Engine

Cloud-based serverless data preparation tools are gaining traction among data analysts seeking to move beyond traditional approaches to organizing low-quality but potentially valuable data. That approach promises to provide data scientists with an alternative to standard ETL routines developed to plumb data warehouses. Read more…

Formulus Black’s DRAM Persistence Tech Now GA

Formulus Black yesterday announced the general availability of ForsaOS, a piece of software that allows any KVM-compatible application to run entirely in memory, without any modification.

In-memory computing has enjoyed a renaissance of late, as organizations seek to speed up their applications and lower the I/O overhead that they encounter when fetching data from traditional disk and solid-state disks (SSDs) over the PCI bus. Read more…

RAPIDS Momentum Builds with Analytics, Cloud Backing

Nvidia’s RAPIDS data science libraries picked up additional support this week from a roster of cloud, server and workstation vendors along with professional services giant Accenture.

Nvidia also announced that Apache Spark creator Databricks will integrate RAPIDS into its analytics platform. 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…

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