big data hadoop wiki

Data de-weight * * *Target: Data that occurs more than once in the original data appears only once in the output file.Algorithm idea: According to the process characteristics of reduce, the input value set is calculated automatically according to key, and the data is output as key to reduce, no matter how many times th

Liaoliang Teacher's course: The 2016 big Data spark "mushroom cloud" action spark streaming consumption flume collected Kafka data DIRECTF way job.First, the basic backgroundSpark-streaming get Kafka data in two ways receiver and direct way, this article describes the way of direct. The specific process is this:1, dire

Https://www.ibm.com/developerworks/cn/opensource/os-cn-apache-flink/index.htmlDevelopment of the Big Data computing engineWith the rapid development of big data in recent years, there have been many popular open source communities, including Hadoop, Storm, and later Spark, a

application scenario. One of the functions of smart city is to collect massive data to improve urban infrastructure and facilitate the lives of people. Chen Jian said that big data is the data analysis and mining performed by a few experts in the past. It is more efficient and convenient to achieve through modeling an

Without Java, and without even big data, Hadoop itself is written in Java. When you need to publish new features on a server cluster running MapReduce, you need to deploy dynamically, and that's what Java is good at.The big data area supports Java's mainstream open source to

The recent start of big data learning, before learning to give yourself a definition of a big data learning routeBig Data Technology Learning Route GuideFirst, get started with Hadoop and learn what

Python financial application programming for big Data projects (data analysis, pricing and quantification investments)Share Network address: https://pan.baidu.com/s/1bpyGttl Password: bt56Content IntroductionThis tutorial introduces the basics of using Python for data analysis and financial application development.Star

Compression of intermediate results Xprof reveals that the compression and decompression operations in the spill thread consume a lot of time. The intermediate result is temporary. Replacing Lzo level 3 with the Lz4 method reduces the intermediate data by more than 30%, allowing it to be read faster. And make some big jobs speed up 150%. 2.5 serialization and deserialization of re

In today's enterprises, 80% of the data is unstructured data, which increases by 60% every year. Big Data will challenge enterprises' Storage Architecture and Data center infrastructure. It will also trigger a chain reaction to applications such as

, a kind of treatment of the embodiment. Can I understand how much of the data is not important and what is important is the approach to processing? 5. Cloudera and Hortonworks were asked.Doug Cutting also answered some polite words, and then said: Happy competition. also: Ask for a book. Go a little later, you can findDoug cutting himself signed and photographed. Doug cutting people very good, very kind, in addition particularly high, about 1.8-meter

the form of a chart, we can make a new year's annual plan based on that data. Without making a decision on the forehead. And now the application of data visualization is also very much, the actual application also shows the corresponding value.Say the above three points, and then say big data technology.The first thin

finite ordered pair or an entity), which includes edges, attributes, and nodes. It provides the free indexing function between adjacent nodes, that is, each element in the database is directly associated with other adjacent elements. Grid computing-connects many computers distributed in different locations to deal with a specific problem, usually by connecting computers through the cloud. H Hadoop-an open-source basic framework for distributed sys

Ecosystem diagram of Big DataThinking in Bigdata (eight) Big Data Hadoop core architecture hdfs+mapreduce+hbase+hive internal mechanismA brief talk on the 6 luminous dots of Apache SparkBig data, first you have to be able to save the big