big data hadoop wiki

Easyreport is an easy-to-use Web Reporting tool (supporting hadoop,hbase and various relational databases) whose main function is to convert the row and column structure queried by SQL statements into an HTML table (table) and to support cross-row (RowSpan) and cross-columns ( ColSpan). It also supports report Excel export, chart display, and fixed header and left column functions. The overall architecture looks like this:Directory Developmen

databases, and more.Big Data-survey results mongodb-a very popular, cross-platform, document-oriented database. Elasticsearch-is a distributed RESTful search engine designed for cloud computing. cassandra-an open-source distributed database management system. Originally designed and developed by Facebook, it is deployed on a large number of commercial servers to process large amounts of data.

knife "?2. Basic big data knowledge preparation Environment: several servers, of course, can also be single-host; it is only a matter of efficiency. Basic: hadoop Algorithms: Understanding the "divide and conquer" concept in classic algorithms For big data sorting tasks, we

strategy is to be an object within the JVM, and to do concurrency control at the code level. Similar to the following.In the later version of Spark1.3, the Kafka Direct API was introduced to try to solve the problem of data accuracy, and the use of direct in a certain program can alleviate the accuracy problem, but there will inevitably be consistency issues. Why do you say that? The Direct API exposes the management of the Kafka consumer offset (for

(', ') as(lbl:chararray,desc:Chararray,score:int);; --Build the index and store it on HDFS, noting the need to configure a simple Lucene index (storage?). Is it indexed? ） Store A into '/tmp/data/20150303/luceneindex ' using Lucenestore (' store[true]:tokenize[true] '); At this point, we have successfully stored the index on HDFS, do not be happy to kill, this is just a beginning, where you may have doubts, the index stored in HDFs can be d

simple Lucene index (storage?). Is it indexed? ） Store A into '/tmp/data/20150303/luceneindex ' using Lucenestore (' store[true]:tokenize[true] '); At this point, we have successfully stored the index on HDFS, do not be happy to kill, this is just a beginning, where you may have doubts, the index stored in HDFs can be directly queried or access it? The answer is yes, but it is not recommended that you directly read the HDFs index, even if the bloc

test data is not how much, but the comprehensiveness of the coverage, if you have prepared thousands of data, but the same data type, the coverage of the Code branch is also one, that the data only one can be called effective test data, All the rest are invalid test data.Th

Tags: cloud computing Big Data spark technology spark hotspot spark interactive Q "Winning the cloud computing Big Data era" SparkAsia Pacific Research Institute Stage 1 Public Welfare lecture hall [Stage 1 interactive Q A sharing] Q1: Can spark shuffle point spark_local_dirs to a solid state drive to speed up

Tags: HTTP Io Using Ar strong data SP Art From: http://www.csdn.net/article/2013-12-04/2817707-Impala-Big-Data-Engine Big data processing is a very important field in cloud computing. Since Google proposed the mapreduce distributed processing framework, open source softw

In the blog "Agile Management of the various releases of Hadoop", we introduced the vsphere Big Data Extensions (BDE) is to solve the enterprise deployment and management of the Hadoop release of the weapon, It makes it easy and reliable to transport the many mainstream commercial distributions of

1, yes, we are big data also write common Java code, write ordinary SQL. For example, the Java API version of the Spark program, the same length as the Java8 stream API.JavaRDDString> lines = sc.textFile("data.txt");JavaRDDInteger> lineLengths = lines.map(s -> s.length());int totalLength = lineLengths.reduce((a, b) -> a + b);Another example is to delete a Hive table.DROP TABLE pokes; 2. Yes,

Personal opinion: Big data we all know about Hadoop, but not all of it. How do we build a large database project. For offline processing, Hadoop is still more appropriate, but for real-time, relatively strong, the amount of data is large, we can use storm, then storm and wha

Http://www.aboutyun.com/thread-6855-1-1.htmlPersonal opinion: Big data we all know about Hadoop, but not all of it. How do we build a large database project. For offline processing, Hadoop is still more appropriate, but for real-time, relatively strong, the amount of data is

(This article also published in my public number "dotnet daily Essence article", Welcome to the right QR code to pay attention to. ) Preface: Build2016 After a long time, and now only to review, say those and big data related to the session, also because I recently in-depth research on this aspect of things. The content of the Microsoft Developer Conference Build2016 from March 30 to April 1 exploded throug

management software of IBM China R D center shares information about IBM Big Data PlatformZhu Hui believes that enterprises must face 3 V challenges in the big data era, namely the Variety type, Velocity speed, and Volume capacity ). Currently, users need to manage various data