Mongodb Sync Database

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

The traditional relational database has good performance and stability, at the same time, the historical test, many excellent database precipitation, such as MySQL. However, with the explosive growth of data volume and the increasing number of data types, many traditional relational database extensions have erupted. NoSQL database has emerged. However, different from the previous use of many NoSQL have their own limitations, which also led to the difficult entry. Here we share with you Shanghai Yan Technology and Technology Director Yan Lan Bowen - how to build efficient MongoDB cluster ...

"Editor's note" This blog author Luke Lovett is the MongoDB company's Java engineer, he demonstrated MONGO connector after 2 years of development after the metamorphosis-complete connector at both ends of the synchronization update. , Luke also shows how to implement fuzzy matching by Elasticsearch. The following is a translation: the introduction assumes that you are running MongoDB. Great, now that you have an exact match for all the queries that are based on the database. Now, imagine that you're building a text search work in your application ...

As the amount of data contained in business transactions continues to increase, service providers are looking for ways to make data management for the public cloud easier. Big data is becoming more and more important, and cloud service providers want to get involved in the Enterprise database field. Research institute IDC predicts that large data will increase at a rate of 60% a year, with structured and unstructured data. Enterprises need to find ways to play the role of these data, and for a long time the database is a very good solution. Today, service providers are using cloud technology to introduce more ways to host these databases in a public cloud, from cumbersome ...

Codename:bluemix is a beta-grade product that will continue to improve as we continue to make it more functional and easier to use. We will do our best to keep this article up to date, but it is not always in full progress. Thank you for your understanding! Codename:BlueMix:IBM a key technology in the Cloud environment, Bluemix is a single solution environment that includes instant resources for rapid development and deployment of applications across a wide range of domains. You can use this platform based on open standards ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But what's the difference? Today's enterprise Data Warehouse ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But what's the difference? Today's enterprise data warehouses and relational databases are good at dealing with ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. 　　Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. 　　But what's the difference? Enterprise Data Warehouse and relational number today ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. 　　Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. 　　But what's the difference? Enterprise Data Warehouse and relational number today ...

March 25, 2014, CSDN Online training: HBase in the application of millet in the practice of a successful conclusion, the trainer is from the Tri Jianwei of millet, he said with the gradual expansion of millet business, especially the arrival of large data era, the original relational database MySQL has been gradually unable to meet the needs, 　　So it's natural to move to NoSQL. CSDN Online training is designed for the vast number of technical practitioners in the online real-time interactive technology training, inviting all industry front-line technical engineers to share their work encountered in the various problems and solutions ...