Oracle Database Editions

Over the past few years, the world of NoSQL databases has been filled with interesting new projects, ambitious statements and a lot of promises. It is rumored that the latest NoSQL database software package achieves significant performance improvements by adjusting all the structures and the three times-fold checksum that the database creator has been hoping to increase over the years. What about reliability? The reliability is overrated, according to Wall Street programmers who didn't use the NoSQL database to run large-scale enterprise applications but only trivial deals. What about the tabulation structure? Too rigid and limited. e.g.

Oracle has announced a formal launch of Oracle's Big Data Machine, Oracle, appliance, which will help customers maximize the business value of large data. Oracle Large Data machine is a hard, software integration System, integrating the Cloudera company's distribution including Apache Hadoop and Cloudera Manager, as well as an open source R. The system employs an Oracle Linux operating system with an o ...

Naresh Kumar is a software engineer and enthusiastic blogger, passionate and interested in programming and new things. 　　Recently, Naresh wrote a blog, the open source world's two most common database MySQL and PostgreSQL characteristics of the detailed analysis and comparison. If you're going to choose a free, open source database for your project, you may be hesitant between MySQL and PostgreSQL. MySQL and PostgreSQL are free, open source, powerful, and feature-rich databases ...

Hadoop has largely been synonymous with big data in the enterprise market since Oracle, IBM and Microsoft in 2011 unanimously announced their support for Hadoop. Today, the situation may have changed. 　　NoSQL increasingly important because of the high profile of Hadoop, few people notice that in the same year that they announced their support for Hadoop, the three relational database vendors also announced the support of the NoSQL database separately. As open source software, NoSQL (not only SQ ...

Emerging big data companies have sprung up. The rapid rise of major manufacturers, "large Data" is the program to strive in the future huge market demand relies on its own innovation for customers to create unique value. IBM offers biginsights, Bigsheets, and Bigcloud just a few years ago, IBM started experimenting with Hadoop in its labs, but it incorporated products and services into the commercial version last year, before Oracle and Microsoft announced they would actively accept the platform. IBM in the last year ...

Here's an excerpt of the background, followed by a record of the operations I migrated from MySQL 5.5.31 to mariadb 5.5.31 on CentOS 6.4. 　　Finally, I found a better way to migrate. 1. Background introduction MySQL is the world's most popular open source relational database. 2008, Sun acquired MySQL. Then, in 2010, Oracle bought Sun, and MySQL fell into Oracle's hands. Oracl ...

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

One, the charm of the management of cloud computing is that users can start using their ID card and credit card, but that's the problem. Such a simple service is bound to bring many challenges to the unprepared IT department. 　　We've been through this many times before: the benefits of a technology that are easy to use end up being an unexpected management challenge, such as virtualization, which causes virtual machines to become fragmented, new security risks to smartphones, and instant messaging that triggers corporate governance problems. This article is intended to show IT managers how to maximize cloud computing ...

There is no doubt that big data has become a buzzword for 2012 years. Large data processing has reached $70 billion trillion this year and is growing at an annual rate of 15–20%, according to reports from foreign statistical agencies. Almost all major tech companies are interested in large data and have invested heavily in the products and services in this area. These include IBM, Oracel, EMC, HP, Dell, SGI, Hitachi, Yahoo, and so on, and the list continues. IBM also released a large data processing and analysis technology in mid-2011: ...

Recently, the launch of the new Xeon processor has once again aroused concern about Intel. Intel's foray into the big data market is no longer news, and last year Intel began to improve hardware and software to meet the needs of "big data" processing, which recently injected large sums of money into the Chinese market and built a data platform aimed at communications, finance and IoT industries.　　From a series of actions that show Intel's vows to compete with Microsoft, Google and Amazon, Saroj Kar, an analyst, has brought us his insights into Intel's data platform. Intel officially launches ...