Graph Database Systems

Graph data processing in the past has been the patent of data scientists, as the application of data has become more and more widely used, graph analysis becomes an essential part of the field of data analysis, people increasingly need to be easy to use, simple graph data analysis tools. Graphlab is a very popular open source project, Graphlab developers are constantly pursuing the innovation and development of graph computing, so that it can meet the requirements of mass data processing. Sframe's debut appears low-key and mysterious, but its function is not to be underestimated, it extends the graphlab to the table so that it can easily manage TB series ...

Figure http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing in the past has been the patent of data scientists, as the application of data is more and more extensive, large data analysis has become an essential part of the field of data analysis, There is a growing need for easy access to simple graph data analysis tools. Graphlab is a very popular open source project, Graphlab developers are constantly pursuing the innovation and development of graph computing, so that it can cater to a large amount of ...

As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...

The intermediary transaction SEO diagnoses Taobao guest cloud host Technology Hall recently, the international famous source database manufacturer MySQL's China Research Center and the Tianjin Massive information Technology Limited Company signed the strategic agreement, the massive technology will achieve the MySQL biggest degree localization in China, seizes the Chinese open source database market to provide the formidable help. 　　Because MySQL is a very useful open source database software, its own superior speed, scalability and reliability makes it an indispensable database products. Since the MySQL database can be used in Li ...

In the current enterprise IT architecture, system administrators and DBAs will consider using the NoSQL database to solve problems that the RDBMS cannot solve, especially the internet industry. Traditional relational databases store data mainly as tables (table), and cannot meet the challenge of unstructured data. In the process of data standardization, the performance of relational database is encountering bottleneck. NoSQL, as its name suggests, is Not-only SQL, which can be a good complement to relational databases. In the report before the TechTarget database, ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

Michael Stonebraker is a pioneer in the field of databases. His deep expertise has also helped to develop some of the most popular database systems such as Postgres, Ingres and Vertica. One of his most recent studies is VoltDB, a memory-based OLTP (Online Transaction Processing) system, which he claims is two orders of magnitude faster than traditional solutions. However, Stonebraker's opinion has been controversial over the years, on the one hand being ...

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 ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Page 1th: The desire for large data 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 more broadly ...