Hadoop 3.0 Ships, But What Does the Roadmap Reveal?

Hadoop 3.0 Ships, But What Does the Roadmap Reveal?

As promised, the Apache Software Foundation delivered Hadoop version 3.0 before the end of the year. Now the Hadoop community turns its attention to versions 3.1 and 3.2, which are slated to bring even more good stuff during the first half of 2018. Read more…

The Emerging Role of the Chief Data Officer

The Emerging Role of the Chief Data Officer

Across all industries, enterprises have access to more data than ever before as insights pour in from machines throughout the company, customer queries, and archived information. Read more…

10 Key Big Data Trends That Drove 2017

10 Key Big Data Trends That Drove 2017

2017 has come and (almost) gone. It was a memorable year, to be sure, with plenty of drama and unexpected happenings in terms of the technology, the players, and the application of big data and data science. Read more…

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…

Datanami Headlines

AI Heads to Factory Floor

AI pioneer Andrew Ng is launching a startup that would initially focus on revitalizing manufacturing, a strategy that parallels the first enterprise deployments of Internet of Things technologies.

Separately, Ng announced partnership with Chinese electronics manufacturer Foxconn to develop AI technologies and expertise. Read more…

As Data Quality Declines, Costs Soar

The bigger the data, it appears, the better the chances much of it will be “bad” data.

And that bad data is costing companies a bundle, according to research published in MIT Sloan Management Review. Read more…

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…

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; they could only address the immediate needs of businesses. Read more…

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…

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…

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…

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…