Start Elasticsearch

"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 ...

Recently, the Amazon Official blog post describes how to use Kinesis Connector to Elasticsearch for streaming data search and interaction, This will help group developers easily develop an application to download large-scale streaming data to Elasticsearch cluster from kinesis real-time and reliably. According to the official introduction, Elasticsearch is an open source search and analysis engine that enables real-time indexing of structured and unstructured data. Kibana is elasticsear ...

Serendip is a social music service, used as a http://www.aliyun.com/zixun/aggregation/10585.html "> Music sharing" between friends. Based on the "people to clustering" this reason, users have a great chance to find their favorite music friends. Serendip is built on AWS, using a stack that includes Scala (and some Java), Akka (for concurrency), play framework (for Web and API front-end ...).

Serendip is a social music service, used as a http://www.aliyun.com/zixun/aggregation/10585.html "> Music sharing" between friends. Based on the "people to clustering" this reason, users have a great chance to find their favorite music friends. Serendip is built on AWS, using a stack that includes Scala (and some Java), Akka (for concurrency), play framework (for Web and API front-end ...).

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...

2014 has passed, and the 2014 inventory is far from over. We've been looking at Silicon Valley or the US, but not enough about the market. The 25 largest investment in science and technology in Europe and Africa in 2014 was sorted out, with a total of about 3.014 billion dollars. As an economy of more than 30,000 research firms and more than 110,000 innovative companies, German start-ups have the highest amount of funding. In addition, online ordering, electricity and mobile payments become the three most popular investment areas, and more than half of the company's financing amount of more than 100 million U.S.

Auth0 is a "status as a service" start-up company, but also a heavy cloud service users. For them, service outages mean that a lot of user-managed applications cannot log in, so availability is critical to them. Recently, Auth0 Engineering director Jose Romaniello shared a cloudy architecture that they could exempt across providers from a wide range of Microsoft Azure downtime. Auth0 is a "status as a service" start-up company that allows users to ignore the underlying infrastructure for mobile ...

At present, there are hundreds of Alibaba Cloud products running on Alibaba Cloud Network, and the area where Alibaba Cloud has been deployed has grown from several domestic cities and regions to many countries and regions around the world.

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 ...

Klout Company is using data analysis to understand people's influence on social networks, said Virendra Vase, chief technology officer, "We are basically on social networks, gathering all the information to help people understand and recognize their influence." "The job is to handle 12 billion of data signals from over 400 million users a day, Klout's large Data environment includes Open-source platform Hadoop, and HBase, Hive, Elasticsearch, Scala, Storm, Node.js, and other jobs ...