Ssd Speed Benchmark

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Using HADOOP-RDMA to speed up large data processing

China's most influential and largest large data-gathering event--2013 China's Big Data Technology conference (DA data Marvell CONFERENCE,BDTC) was held in Beijing in December 2013 5-6th. Dozens of leading companies, nearly 70 lectures, not only covers the Hadoop ecosystem and flow calculation, real-time computing and NoSQL, Newsql and other technical direction, but also on the Internet, finance, telecommunications, transportation, medical and other innovative cases, large data resources laws and regulations, large data commercial use policy ...

Hamsterdb vs. Leveldb: And look at the confessions and attacks of Non-mainstream databases

Although the "editor's note" has been available for 9 years, the popularity of Mongodb,hamsterdb is still lacking, and it has been rated as a Non-mainstream database. Hamsterdb is an open source key value type database. However, unlike other Nosql,hamsterdb, which are single-threaded and not distributed, they are designed to be more like a column store database, while also supporting acid transactions at the Read-committed isolation level. Then compare Leveldb,hamsterdb will have any advantage, here we go ...

Intel Xeon Processor e5-2600 v2 core of modern data center

It companies around the world are working to virtualize and automate data centers in the hope of helping their business achieve higher value and lower costs, delivering new data-driven services faster and more efficiently. Intel (R) Xeon (TM) processor-based servers provide the foundation for this innovation. These servers account for the vast majority of all servers in the current virtualization center and cloud environment, and can support most of the most high-performance workstations. Performance improvement up to 35% Intel Xeon Processor e5-2600 ...

1/10 Compute Resources, 1/3 time consuming, spark subversion mapreduce keep sort records

In the past few years, the use of Apache Spark has increased at an alarming rate, usually as a successor to the MapReduce, which can support thousands of-node-scale cluster deployments. In the memory data processing, the Apache spark is more efficient than the mapreduce has been widely recognized, but when the amount of data is far beyond memory capacity, we also hear some organizations in the spark use of trouble. Therefore, with the spark community, we put a lot of energy to do spark stability, scalability, performance, etc...

Comparable to minicomputer Huawei New generation server Global sync start

"Tenkine Server channel February 24" The world's leading provider of information and communication solutions Huawei, in Beijing, China and Barcelona, Spain, the global release of a new generation of high-performance, highly reliable multi-channel server: intel® xeon® ®e7-8800 v2 processor RH8100 V3 eight server, The four-way compute node E9000 CH242 for the rh5885h V3 Quad server and V3 Blade server based on the intel® xeon® ®e7-4800 v2 processor. ...

Great data Age Darling--hadoop introduction and practice sharing

This article is a brief introduction to Hadoop-related technical biosphere, while sharing a previously written practice tutorial that requires a person to take. Today, with cloud computing and big data, Hadoop and its related technologies play a very important role and are a technology platform that cannot be neglected in this era.   In fact, Hadoop is becoming a new generation of data processing platforms due to its open source, low-cost and unprecedented scalability. Hadoop is a set of distributed data processing framework based on Java language, from its historical development angle we can ...

MySQL vs. MongoDB have a winner.

The initial key value comparison, MongoDB victory faster, and this has always been our goal to give the database system MySQL dragster the speed of the disk as its biggest obstacle, this really can make sense? Let's just make an obstacle, what about the solution? If an obstacle limits your dragster, you can choose to bypass it faster or improve on the computer. For example: Avoid the use of disk, as much as possible memory in lieu of faster disk (such as SSD) in fact, this is not good analogy, because the limit from the disk is like ...

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