Cloudera Pig

Apache Pig, a high-level query language for large-scale data processing, works with Hadoop to achieve a multiplier effect when processing large amounts of data, up to N times less than it is to write large-scale data processing programs in languages ​​such as Java and C ++ The same effect of the code is also small N times. Apache Pig provides a higher level of abstraction for processing large datasets, implementing a set of shell scripts for the mapreduce algorithm (framework) that handle SQL-like data-processing scripting languages ​​in Pig ...

This paper first briefly introduces the background of biginsights and Cloudera integration, then introduces the system architecture of Biginsights cluster based on Cloudera, and then introduces two kinds of integration methods on Cloudera. Finally, it introduces how to manage and apply the integrated system. Cloudera and IBM are the industry's leading large data platform software and service providers, in April 2012, two companies announced the establishment of a partnership in this field, strong alliances. Cl ...

Recently, Cloudera has launched its first business version of Hadoop, a server product that can store gigabit capacity information. A spokesman for the company said Hadoop was already a successful product and applied to companies such as Google,yahoo, Facebook and others. "It is almost natural to publish the commercial version of the product." "After Facebook, Google and Yahoo and other companies using large Hadoop development tools, we began to realize that people want to install, configure, and manage Hadoop ...

Save space, straight to the point. First, use the virtual machine VirtualBox to configure a Debian 5.0. Debian is always the most pure Linux pedigree in open source Linux, easy to use, efficient to run, and a new look at the latest 5.0, and don't feel like the last one. Only need to download Debian-501-i386-cd-1.iso to install, the remaining based on the Debian Strong network features, can be very convenient for the package configuration. The concrete process is omitted here, can be in ...

Preface Having been in contact with Hadoop for two years, I encountered a lot of problems during that time, including both classic NameNode and JobTracker memory overflow problems, as well as HDFS small file storage issues, both task scheduling and MapReduce performance issues. Some problems are Hadoop's own shortcomings (short board), while others are not used properly. In the process of solving the problem, sometimes need to turn the source code, and sometimes to colleagues, friends, encounter ...

Hadoop ecosystem has developed rapidly in recent years, and it contains more and more software, and it also drives the prosperity and development of the peripheral system. Especially in the field of distributed computing, the system is numerous and diverse, from time to time a system, claiming to be more efficient than mapreduce or hive dozens of times times, hundreds of times times. There are some ignorant people who always follow the impala and say that the replacement of Hive,spark will replace the Hadoop MapReduce. This article fires from the problem domain and explains the unique role of each system in Hadoop ...

As companies begin to leverage cloud computing and large data technologies, they should now consider how to use these tools in conjunction. In this case, the enterprise will achieve the best analytical processing capabilities, while leveraging the private cloud's fast elasticity (rapid elasticity) and single lease features. 　　How to collaborate utility and implement deployment is the problem that this article hopes to solve. Some basic knowledge first is OpenStack. As the most popular open source cloud version, it includes controllers, computing (Nova), Storage (Swift), message team ...

Today, I attended 3 keynotes,42 sessions of 8, and a lot of vendors to discuss technology, is really a big bang day. Hadoop has been around for 7 years since its inception, and this year has seen many new changes: 1, Hadoop is recognized as a set of industry data standard open source software, in a distributed environment to provide a large number of data processing capacity (Gartner). Almost all major manufacturers revolve around Hadoop development tools, Open-source software, commercial tools, and technical services. This year, large IT companies, such as ...

Guide: Yahoo CTO raymie Stata is a key figure in leading a massive data analysis engine. IBM and Hadoop are focusing more on massive amounts of data, and massive amounts of data are subtly altering businesses and IT departments. An increasing number of large enterprise datasets and all the technologies needed to create them, including storage, networking, analytics, archiving, and retrieval, are considered massive data. This vast amount of information directly drives the development of storage, servers, and security. It also brings a series of problems to the IT department that must be addressed. Information...

"Big data is not hype, not bubbles. Hadoop will continue to follow Google's footsteps in the future. "Hadoop creator and Apache Hadoop Project founder Doug Cutting said recently. As a batch computing engine, Apache Hadoop is the open source software framework for large data cores. It is said that Hadoop does not apply to the online interactive data processing needed for real real-time data visibility. Is that the case? Hadoop creator and Apache Hadoop project ...