Vendor » Hortonworks
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Weighing Open Source’s Worth for the Future of Big Data
The open source software movement began in earnest 20 years ago, when a group of technology leaders in Silicon Valley coined the term as an alternative to the repugnant "free software." Fast forward to 2018, and the conc Read more…
DataTorrent Glues Open Source Componentry with ‘Apoxi’
Building an enterprise-grade big data application with open source components is not easy. Anybody who has worked with Apache Hadoop ecosystem technology can tell you that. But the folks at DataTorrent say they've found Read more…
ParallelM Aims to Close the Gap in ML Operationalization
A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production. Dubbed MLOps, Parall Read more…
Which Programming Language Is Best for Big Data?
Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers' IT Read more…
Hortonworks Breaks Even on Cash Flow
Hortonworks broke even on a cash-flow basis during the fourth quarter of 2017, a significant milestone for the big data platform developer, which posted total quarterly revenues of $75.0 million, a 44% increase from a ye Read more…
How Erasure Coding Changes Hadoop Storage Economics
The introduction of erasure coding with Hadoop 3.0 will allow users to cram up to 50% more data into the same cluster. That's great news for users who are struggling to store all their data. However, that storage boost c Read more…
The Big Data Tech Inside the 2020 Census
The US Census Bureau is adopting the latest data processing technology to help with its upcoming 2020 Census, including the use of a large Hadoop cluster, real-time stream data processing, and advanced mapping and visual Read more…
2018 Predictions: Opening the Big Data Floodgates
The pace of innovation in big data today is exceeded only by the actual volume of data generated. So how will the industry respond to the opportunities and challenges posed by huge pipes of data that will be opened up in Read more…
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 du Read more…
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. As we gear u Read more…
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