Cloudera Developer Blog · Hadoop Posts

Apache Bigtop: The "Fedora of Hadoop" is Now Built on Hadoop 2.x

BigtopJust in time for Hadoop Summit 2013, the Apache Bigtop team is very pleased to announce the release of Bigtop 0.6.0: The very first release of a fully integrated Big Data management distribution built on the currently most advanced Hadoop 2.x, Hadoop 2.0.5-alpha.

Bigtop, as many of you might already know, is a project aimed at creating a 100% open source and community-driven Big Data management distribution based on Apache Hadoop. (You can learn more about it by reading one of our previous blog posts on Apache Blogs.) Bigtop also plays an important role in CDH, which utilizes its packaging code from Bigtop — Cloudera takes pride in developing open source packaging code and contributing the same back to the community.

Customer Spotlight: Big Data Making a Big Impact in Healthcare and Life Sciences

In this Customer Spotlight, I’d like to emphasize some undeniably positive use cases for Big Data, by looking at some of the ways the healthcare and life sciences industries are innovating to benefit humankind. Here are just a few examples:

Mount Sinai School of Medicine has partnered with Cloudera’s own Jeff Hammerbacher to apply Big Data to better predict and understand disease processes and treatments. The Mount Sinai School of Medicine is a top medical school in the US, noted for innovation in biomedical research, clinical care delivery, and community services. With Cloudera’s Big Data technology and Jeff’s data science expertise, Mount Sinai is better equipped to develop solutions designed for high-performance, scalable data analysis and multi-scale measurements. For example, medical research and discovery areas in genotype, gene expression and organ health will benefit from these Big Data applications.

Hadoop for Everyone: Inside Cloudera Search

CDH, Cloudera’s 100% open source distribution of Apache Hadoop and related projects, has successfully enabled Big Data processing for many years. The typical approach is to ingest a large set of a wide variety of data into HDFS or Apache HBase for cost-efficient storage and flexible, scalable processing. Over time, various tools to allow for easier access have emerged — so you can now interact with Hadoop through various programming methods and the very familiar structured query capabilities of SQL.

However, many users with less interest in programmatic interaction have been shut out of the value that Hadoop creates from Big Data. And teams trying to achieve more innovative processing struggle with a time-efficient way to interact with, and explore, the data in Hadoop or HBase.

QuickStart VM: Now with Real-Time Big Data

For years, Cloudera has provided virtual machines that give you a working Apache Hadoop environment out-of-the-box. It’s the quickest way to learn and experiment with Hadoop right from your desktop.

We’re constantly updating and improving the QuickStart VM, and in the latest release there are two of Cloudera’s new products that give you easier and faster access to your data: Cloudera Search and Cloudera Impala. We’ve also added corresponding applications to Hue – an open source web-based interface for Hadoop, and the easiest way to interact with your data.

Meetups at Hadoop Summit

Hadoop Summit convenes next week, and even if you’re not attending, there are a host of meetup opportunities available to you during the week.

Here are just a few, and you can find a full list here.

Improvements in the Hadoop YARN Fair Scheduler

Starting in CDH 4.2, YARN/MapReduce 2 (MR2) includes an even more powerful Fair Scheduler. In addition to doing nearly all that it could do in MapReduce 1 (MR1), the YARN Fair Scheduler can schedule non-MapReduce jobs, schedule based on fine-grained memory instead of slots, and support hierarchical queues. In this post, you’ll learn what the Fair Scheduler’s role is and how it fulfills it, what it means to be a YARN “scheduler,” and dive into its new features and how to get them running on your cluster.

YARN/MR2 vs. MR1

YARN uses an updated terminology to reflect that it no longer just manages resources for MapReduce. From YARN’s perspective, a MapReduce job is an application. YARN schedules containers for map and reduce tasks to live in. What was referred to as pools in the MR1 Fair Scheduler has been updated to queue for consistency with the capacity scheduler. An excellent and deeper explanation is available here.

How Does it Work?

Customer Spotlight: It’s HBase Week!

This is the week of Apache HBase, with HBaseCon 2013 taking place Thursday, followed by WibiData’s KijiCon on Friday. In the many conversations I’ve had with Cloudera customers over the past 18 months, I’ve noticed a trend: Those that run HBase stand out. They tend to represent a group of very sophisticated Hadoop users that are accomplishing impressive things with Big Data. They deploy HBase because they require random, real-time read/write access to the data in Hadoop. Hadoop is a core component of their data management infrastructures, and these users rely on the latest and greatest components of the Hadoop stack to satisfy their mission-critical data needs.

Today I’d like to shine a spotlight on one innovative company that is putting top engineering talent (and HBase) to work, helping to save the planet — literally.

HBaseCon 2013: "Ecosystem" Track Preview

Unbelievably, HBaseCon 2013 is only one week away (June 13 in San Francisco)!

Cloudera Search: The Newest Hadoop Framework for CDH Users and Developers

One of the unexpected pleasures of open source development is the way that technologies adapt and evolve for uses you never originally anticipated.

Seven years ago, Apache Hadoop sprang from a project based on Apache Lucene, aiming to solve a search problem: how to scalably store and index the internet. Today, it’s my pleasure to announce Cloudera Search, which uses Lucene (among other things) to make search solve a Hadoop problem: how to let non-technical users interactively explore and analyze data in Hadoop.

Customer Spotlight: King.com’s Climb to the Social Gaming Throne

This week I’d like to highlight King.com, a European social gaming giant that recently claimed the throne for having the most daily active users (more than 66 million). King.com has methodically and successfully expanded its reach beyond mainstream social gaming to dominate the mobile gaming market — it offers a streamlined experience that allows gamers to pick up their gaming session from wherever they left off, in any game and on any device. King.com’s top games include “Candy Crush Saga” and “Bubble Saga”.

And — you guessed it — King.com runs on CDH.

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