The REST service can help developers to provide services to end users with a simple and unified interface. However, in the application scenario of data analysis, some mature data analysis tools (such as Tableau, Excel, etc.) require the user to provide an ODBC data source, in which case the REST service does not meet the user's need for data usage. This article provides a detailed overview of how to develop a custom ODBC driver based on the existing rest service from an implementation perspective. The article focuses on the introduction of ODBC ...
Dbeaver 1.3.2 This version has a MySQL stored procedure editor, a MS SQL Server native driver, a terdata database driver, and some bug fixes. Dbeaver is a general-purpose database management tool and SQL client that supports MySQL, PostgreSQL, Oracle, DB2, MSSQL, Sybase, Mimer, HSQLDB, Derby, and other compatible JDBC numbers ...
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 ...
"Editor's note" in 2014, spark open source ecosystem has been greatly increased, has become one of the most active open source projects in the large data field, now active in Hortonworks, IBM, Cloudera, MAPR and Pivotal and many other well-known large data companies, More than Spark SQL, Spark streaming, Mllib, GRAPHX and other related projects. So much attention, spark will have what kind of change, the following we see Spark Contri ...
Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...
Cassandra and HBase are the representatives of many open source projects based on bigtable technology that are implementing high scalability, flexibility, distributed, and wide-column data storage in different ways. In this new area of big data [note], the BigTable database technology is well worth our attention because it was invented by Google, and Google is a well-established company that specializes in managing massive amounts of data. If you know this very well, your family is familiar with the two of Cassandra and HBase.
In the new field of Big data, BigTable database technology is well worth our attention because it was invented by Google, and Google is a well-established company that specializes in managing massive amounts of data. If you know this well, your family is familiar with the two Apache database projects of Cassandra and HBase. Google first bigtable in a 2006 study. Interestingly, the report did not use BigTable as a database technology, but ...
When I describe how to http://www.aliyun.com/zixun/aggregation/32995.html "> Hosting an Node.js application in Windows Azure, you might raise a question about how to use Windows Azure services, such as storage, service bus, access control, and so on. Interacting with Windows Azure services in Node.js is through Windows Azure ...
Opennebula:what ' snewin5.4 Chinese version. Opennebula 5.4 (this version, named Medusa, the ogre in Ancient Greek mythology) is the third version of the Opennebula 5 series. As we maintain a high level of attention to the needs of the community, we also devote a great deal of effort to enhancing the key functional points described in the 5.2 continuity plan. In general, almost every Opennebula component is focused on usability and functionality enhancements, and reduces API changes to a micro ...
Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...
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