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To understand and address issues such as land degradation, deforestation, food security, and greenhouse gas emissions, countries need access to high-quality and timely information. As these challenges have become more urgent over the past decade, the need for more information has also increased.
Linus Torvalds this week released the final code for version 4.6 of the Linux kernel. This release comes two months after the previous 4.5 version and has gone through seven release candidates.
“The 4.6 kernel on the whole was a fairly big release - more commits than we've had in a while,” Torvalds wrote in his release notes on the LKML mailing list. “But it all felt fairly calm despite that.”
Greg Kroah-Hartman is a superstar in the open source world. He is a Linux Foundation Fellow and the maintainer of the stable branch of the Linux kernel, the staging subsystem, USB, Linux drivers, userspace I/O, TTY layer...the list of his work is quite long. He was also the creator of openSUSE Tumbleweed, a rolling release distribution.
The folks at the Open Data Platform Initiative (ODPi) have heard the concerns and the criticisms of the Hadoop community, and today John Mertic, the standards organization’s Director of Program Management, took to Apache Big Data in Vancouver to clear the air.
Contrary to the Hadoop community’s concerns, ODPi does not want to take over the development of Hadoop, it does not want to fork Hadoop, Mertic said.
It only makes sense that as the community of Spark contributors got bigger the project would get even more ambitious. So when Spark 2.0 comes out in a matter of weeks it’s going to have at least three robust new features, according to Ion Stoica, the founder of Databricks and keynote speaker at Apache Big Data in Vancouver on Tuesday afternoon.
“Spark 2.0 is about taking what has worked and what we have learned from the users and making it even better,” Stoica said.
Countless organizations around the world are now working with data sets so large and complex that traditional data processing applications can no longer drive optimized analytics and insights. That’s the problem that the new wave of Big Data applications aims to solve, and the Apache Software Foundation (ASF) has recently graduated a slew of interesting open source Big Data projects to Top-Level status. That means that they will get active development and strong community support.