Oracle Sql Now

BEIJING, July 22, 2014--companies are looking for innovative ways to manage as many data and data sources as possible. While technologies such as Hadoop and NoSQL provide specific ways to deal with large data problems, these technologies may introduce islands of data that can complicate data access and data analysis needed to form critical insights. In order to maximize the value of information and better handle large data, enterprises need to gradually change the data management architecture into a large data management system to seamlessly integrate various sources, all types of data, including Hadoop, relational databases, and nos ...

One of the key decisions faced by enterprises that perform large data projects is which database to use, SQL or NoSQL? SQL has impressive performance, a huge installation base, and NoSQL is gaining considerable revenue and has many supporters. 　　Let's take a look at the views of two experts on this issue. Experts· VOLTDB's chief technology officer, Ryan Betts, says that SQL has won widespread deployments of large companies, and that big data is another area that it can support. Couchba ...

One of the key decisions that companies that perform large data [note] projects face is which database to use, SQL or NoSQL? SQL has impressive performance, a huge installation base, and NoSQL is gaining considerable revenue and has many supporters. 　　Let's take a look at the views of two experts on this issue. Experts· VOLTDB's chief technology officer, Ryan Betts, says that SQL has won widespread deployments of large companies, and that big data is another area that it can support. Couch ...

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

"Tenkine Server channel April 23" The Big data application of the vast number has been beyond doubt. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Large data drives Rapid Changes in infrastructure and $232 billion 2016, Gartner ("rapid change in the big-drive infrastructure", 2 016 Years ...

The use of large data has been far less than the ability to collect large data, the main reason is that the current enterprise data mainly dispersed in different systems or organizations, the key to the big data strategy is to be able to more in-depth, richer mining all the data system of valuable information, so more accurate prediction of customer behavior, find business value, 　　However, it is difficult to move this data to a separate data store, and security and regulatory issues are not guaranteed, Oracle Big Data SQL launched to solve the current challenges. The following is a translation:

Big data is now a very hot topic, SQL on Hadoop is the current large data technology development in an important direction, how to quickly understand the mastery of this technology, CSDN specially invited Liang to do this lecture for us. Using Sql-on-hadoop to build Internet Data Warehouse and business intelligence system, through analyzing the current situation of business demand and sql-on-hadoop, this paper expounds the technical points of SQL on Hadoop in detail, shares the experience of the first line, and helps the technicians to master the relevant technology quickly ...

Previously NoSQL databases were indifferent to new and emerging projects around the world, and we often heard those with ambitious trumpeter patting their chests to ensure that their new nosql applications would break all the old frames and bring new things. In reality, however, it is overblown that NoSQL is still unable to get into Wall Street, even if the trendy developers are only willing to use it for trivial matters in their lives. Because of the limitations of the table structure is too large, if you can discard these, the speed of the database can be improved quality. At this moment, ...

The big data is "soar" in 2012, and it will change every aspect of data management in a dramatic way. Large data systems have brought changes to machine-generated data management, continuous ETL, operational bi, Dynamic Data, and cloud-based data warehouses. With big data coming into the 2013, there is no technology that is more active than the NoSQL database and Hadoop, and they all have greater room for improvement. According to a report marketanalysis.com 2012, it's just Hadoop mapr ...

The big data is "soar" in 2012, and it will change every aspect of data management in a dramatic way. Large data systems have brought changes to machine-generated data management, continuous ETL, operational bi, Dynamic Data, and cloud-based data warehouses. However, with big data coming into the 2013, there is no technology that is more active than the NoSQL database and Hadoop, and they all have greater room for improvement. According to a report from marketanalysis.com 2012, it's just the Hadoop Ma ...