Apache Kafka Version

kafka different versions. kafka-0.8.2 What's new? Producer no longer differentiates between sync and async, and all requests are sent asynchronously, improving client efficiency. The producer request will return a response object, including the offset or error message. This asynchronously bulk sends messages to the kafka broker node, which can reduce the overhead of server-side resources. The new producer and all server network communications are asynchronous, at ack = -...

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. ACID ...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. AC ...

Recently released Hive 0.13 ACID semantic transaction mechanism used to ensure transactional atomicity, consistency and durability at the partition layer, and by opening Zoohttp: //www.aliyun.com/zixun/aggregation/19458.html "> Keeper or in-memory lock mechanism to ensure transaction isolation.Data flow intake, slow changes in dimension, data restatement of these new use cases in the new version has become possible, of course, there are still some deficiencies in the new Hive, Hive ...

"Editor's note" Shopify is a provider of online shop solutions company, the number of shops currently serving more than 100,000 (Tesla is also its users). The main frame of the website is Ruby on rails,1700 kernel and 6TB RAM, which can respond to 8,000 user requests per second. In order to expand and manage the business more easily, Shopify began to use Docker and CoreOS technology, Shopify software engineer Graeme Johnson will write a series of articles to share their experience, this article is the department ...

The Big data field of the 2014, Apache Spark (hereinafter referred to as Spark) is undoubtedly the most attention. Spark, from the hand of the family of Berkeley Amplab, at present by the commercial company Databricks escort. Spark has become one of ASF's most active projects since March 2014, and has received extensive support in the industry-the spark 1.2 release in December 2014 contains more than 1000 contributor contributions from 172-bit TLP ...

Hello everyone, I am from Silicon Valley Dong Fei, at the invitation of domestic friends, very happy to communicate with you about the U.S. Big Data Engineers interview strategy. Personal introduction to do a self-introduction, after the undergraduate Nankai, joined a start-up company Kuxun, do real-time information retrieval, and then enter the Baidu Infrastructure group, built the Baidu APP engine earlier version, and then went to Duke University, in the study, during the master's degree, Starfish, a research project related to Hadoop's big data, and then Amazon ...

In the upcoming double 11 singles day, EDAS also brings you a very big discount, for all EDAS versions, no matter how many nodes, can enjoy 50% off shopping discounts, old users can also enjoy a 20% discount Offer. We also hope that more users will be able to try EDAS products through this opportunity.

Hadoop is often identified as the only solution that can help you solve all problems. When people refer to "Big data" or "data analysis" and other related issues, they will hear an blurted answer: hadoop! Hadoop is actually designed and built to solve a range of specific problems. Hadoop is at best a bad choice for some problems. For other issues, choosing Hadoop could even be a mistake. For data conversion operations, or a broader sense of decimation-conversion-loading operations, E ...