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Tag: tez

Yahoo’s Massive Hadoop Scale on Display at Dataworks Summit

Jun 16, 2017 |

Yahoo put its massive Hadoop investment on display this week at Dataworks Summit, the semi-annual big data conference that it co-hosts with Hortonworks.

While Hadoop is no longer the conference headliner that it once was, the platform is still critical for the daily operations of Yahoo, which officially became part of Verizon Communications this week when the $4.5 billion acquisition finally closed. Read more…

Three Ways Zoomdata Makes Big Data Pop

Aug 11, 2015 |

When it comes to big data visualization tools, there’s no shortage of players. Tableau, Qlik, Spotfire, and Microstrategy are established incumbents with big followings. But there’s a fresh crop of visualization tools making waves, including one from Zoomdata that’s helping to change how we think about big data analysis. Read more…

Hadoop ISVs Break Away from MapReduce, Embrace Spark, In-Memory Processing

Oct 16, 2014 |

Big data analytic software vendors who run on Hadoop are increasingly replacing their MapReduce engines with Apache Spark and other in-memory analytic engines as the runtime of choice. Many of these next-gen Hadoop vendors are showcasing their upgraded goods at this week’s Strata + Hadoop World conference. Read more…

Hortonworks Hatches a Roadmap to Improve Apache Spark

Sep 24, 2014 |

Hortonworks today issued a broad and detailed roadmap outlining the investment it would like to see made to Apache Spark, the in-memory processing framework that has become one of Hadoop’s most popular subprojects. Read more…

Cascading Now Supports Tez–Spark and Storm Up Next

May 13, 2014 |

Concurrent, the company behind the open source Cascading framework, today unveiled a major update that will allow its customers to migrate their Hadoop applications from using MapReduce to use the new Apache Tez engine, without rewriting any business logic. Read more…

Hortonworks Keen on Cascading-Tez Combo

Apr 21, 2014 |In the future, it will be easier to build big data applications, and they'll run faster and utilize more real-time data than today's apps, too. Two vendors working to make that future a reality, Hortonworks and Concurrent, today announced they'll work together to build and assemble the next generation of Hadoop apps running on YARN, Tez, and Apache Spark. Read more…

Hortonworks Drives Stinger Home with HDP 2.1

Apr 2, 2014 |Hortonworks today unveiled a major new release of its Hadoop distribution that puts significant new capabilities into the hands of its customers. The speed and scale of SQL processing in Apache Hive were improved with the final phase of the Stinger initiative, while the additions of Apache Storm and Apache Solr in HDP 2.1 open up new ways for customers to manipulate their data. Security and data governance were bolstered with Apache Knox and Apache Falcon, respectively, while Apache Spark is now available as a tech preview. Read more…

Shining a Light on Hadoop’s ‘Black Box’ Runtime

Feb 4, 2014 |Let's face it: Writing MapReduce processes is not very fun. That's the main reason that the Cascading framework is gaining such a big following--because it abstracts away the difficult part of MapReduce with an easy-to-use Java API and library. With today's launch of a new product called Driven, the company behind Cascading is enabling users to instrument the data analytic apps developed with Cascading, in pursuit of faster troubleshooting and higher performance. Read more…

The Future of Hadoop Runs on Tez, Hortonworks Says

Jan 21, 2014 |The Hadoop community has spent much energy over the past two years trying to make Hadoop faster, simpler to program, and easier to extend to other systems. While the introduction of YARN in Hadoop version 2 helped to unhook the framework from its MapReduce roots, the folks at Hortonworks say the next step of the Hadoop journey will ride atop the Apache Tez engine. Read more…

HDP 2.0: Rise of the Hadoop Data Lake

Oct 23, 2013 |Hortonworks became the first Hadoop distributor to ship the new Hadoop version 2 software today when it announced the general availability of Hortonworks Data Platform (HDP) 2.0. The update will enable customers with small Hadoop clusters to upgrade their big data platform into a shared Hadoop service, or a data lake, a Hortonworks executive explains. Read more…

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