Evaluation of Spark (on YARN) at Twitter, and lessons learnt from our ongoing experiments. Read less
What’s better than a recommendation engine that’s free? A recommendation engine that is both awesome and free. Today, we’re announcing General Availability for the Mortar Recommendation Engine. Designed by Mortar’s engineers and top data science advisors, it produces personalized recommendations at scale for companies like MTV, Comedy Central, StubHub, and the Associated Press. Today, we’re giving
Slides from my talk at IEEE BigData 2013 presenting our paper "Hourglass: a Library for Incremental Processing on Hadoop" Abstract: Hadoop enables processing of large data sets through its relatively easy-to-use semantics. However, jobs are often written inefficiently for tasks that could be computed incrementally due to the burdensome incremental state management for the programmer. This paper in
It is our pleasure to release PigPen to the world today. PigPen is map-reduce for Clojure. It compiles to Apache Pig, but you don’t need to know much about Pig to use it. What is PigPen?A map-reduce language that looks and behaves like clojure.coreThe ability to write map-reduce queries as programs, not scriptsStrong support for unit tests and iterative developmentNote: If you are not familiar at
As we can see, the DataFu version provides a noticable improvement in both metrics. Glad to know that work wasn't all for naught. Creating a custom purpose UDF Many UDFs, such as those presented in the previous section, are general purpose. DataFu serves to collect these UDFs and make sure they are tested and easily available. If you are writing such a UDF, then we will happily accept contribution
This document discusses tools and techniques used at LinkedIn for building data products, including Pig, Java, R, Hive, Voldemort, Kafka, and Azkaban. It describes how LinkedIn uses Pig extensively for its conciseness and expressiveness. DataFu is introduced as an open source library of user-defined functions (UDFs) for Pig that was created to share useful UDFs developed by different teams at Link
Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. With the use of AI exploding, Cloudera, in partnership with Researchscape, surveyed 600 IT leaders who work at companies with over 1,000 employees in the U.S., EMEA and APAC regions. The survey, […] Read blog post
Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. With the use of AI exploding, Cloudera, in partnership with Researchscape, surveyed 600 IT leaders who work at companies with over 1,000 employees in the U.S., EMEA and APAC regions. The survey, […] Read blog post
Apache Tez provides an alternative execution engine than MapReduce focusing on performance. By using optimized job flow, edge semantics and container reuse, we see consistent performance boost for both large job and small job. How to enable Tez To run Pig in tez mode, simply add "-x tez" in pig command line. Alternatively, you can add "exectype=tez" to conf/pig.properties to change the default exe
The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having […] Read blog post
Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. For proof of this megatrend look no further than the instant success of ChatGPT, […] Read blog post
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く