Shulou(Shulou.com)06/01 Report--

Digital brain, Internet +, Intelligence +, artificial Intelligence, Edge Computing. There seems to be no shortage of concepts in the field of information technology, but no matter how the world changes, data is at the core of all business. To effectively manage, analyze, and mine the value of data, a database must be a necessity.

From May 8 to May 10, 2019, the 10th China Database Technology Conference (DTCC2019), sponsored by IT168's ITPUB Enterprise Community platform, will be held in Beijing. Wu Chengyang, vice president of Oracle and general manager of cloud platform in China, will attend the conference and deliver a speech on the theme of "data autonomy, the future has come". As the opening speaker, the Oracle ADW business data platform content brought by Wu Chengyang has become the biggest highlight of this conference.

From traditional database to distributed database, NoSQL, NewSQL, database development decade, is a decade of change, and DTCC is the witness of all this! As a brand event in the domestic database field, DTCC Database Technology Conference has been successfully held for nine times. DTCC2019 will adopt the "3x2" model, that is, there will be about 100 traditional technical lectures in three days, plus two days of in-depth thematic training to deepen the landing practice of projects in the field of data. In the main lecture on "Ten-year changes in data Architecture" on the morning of May 8, Wu Chengyang will discuss the value of data and the future development trend of the database.

In the database field, Oracle is a well-deserved "Big Brother" image, without one. Oracle has created the largest database in the world, with a history of more than 40 years. If you want to ask, who is the service provider who understands the needs of database users best, it must be Oracle. The Oracle Autonomous Database (Oracle Autonomous Database) was released in March 2018. It is another pinnacle of the transformation of traditional databases to the cloud. As for, why should Oracle push what are the differentiation advantages of Oracle ADW?Oracle ADW?

Specifically, the two features can briefly summarize the value that Oracle ADW brings.

1. Meet the needs of traditional relational database migration cloud

Many enterprises are transforming to digital. The most important feature of the digital world is that it will generate data at an explosive speed, especially with the emergence of the Internet of things (IoT), the data of enterprises is becoming more and more complex. How to manage these data effectively and further enhance the competitive advantage of enterprises through data analysis? Cloud is the best choice!

Although the traditional physical data warehouse can also collect data and analyze it, the previous storage and calculation methods can no longer meet the processing needs of big data. In order to reduce risks and costs and reduce the complexity of database technology, enterprises begin to consider migrating to the cloud. Some enterprises will choose to host in the local private cloud, while others will deploy in the public cloud or hybrid cloud. Cloud brings many benefits to enterprises, such as having better scalability, further improving performance, reducing data storage and processing costs, helping enterprises to gain faster data insight, and so on.

Most importantly, the cloud makes it easier to use databases. The Oracle Autonomous Database (Oracle Autonomous Database) takes these advantages of the cloud to the extreme. Based on the Oracle cloud, Oracle ADW business data platform brings a modern cloud experience, so that enterprises do not have to adhere to tedious workflows, and can integrate autonomous driving, autonomous security and autonomous repair functions, including automatic patching, tuning and upgrading, to ensure the automatic operation of critical infrastructure. The Oracle autonomous database cloud service supports simultaneous scanning of security threats and updates at run time, thus effectively preventing network attacks and data theft.

Oracle ADW has the following characteristics:

Simple: this completely autonomous database can patch, tune and upgrade itself during the operation of the system, which greatly avoids the error-prone phenomenon of manual processes. After optimization and preconfiguration, the system can create data warehouse cloud services in as little as 15 seconds and help enterprises analyze data immediately without investing in data center infrastructure or additional IT staff.

High performance: based on the next-generation cloud database platform, it provides adaptive caching and indexing capabilities using artificial intelligence, including machine learning, and with the support of Oracle Exadata integrated infrastructure. The resource consumption of CPU can be reduced by automatically optimizing the index and cache through machine learning.

High resiliency: Oracle customers have fine-grained control over preconfigured compute and storage resources to avoid paying extra for expensive, unused fixed cloud resources by expanding and shrinking independently.

Continuous reliability: built-in machine learning technology eliminates manual configuration errors to ensure reliability. In addition, unlimited concurrent access combined with advanced clustering technology allows customers to expand their data storage without any downtime.

2. let database management move towards the stage of intelligent operation and maintenance.

In addition, many enterprises want to integrate into the data-driven business, but they are faced with many data management challenges, such as: messy data sources and channels, difficulties in integration and data processing, difficult to sort out and analyze to form insight, and so on. In particular, with the fast pace of the market and large amount of data, the front-end business data processing and report generation of enterprises are slow, so it is impossible to do in-depth analysis and insight. Many enterprises spend too much time and cost to achieve faster data processing, more agile data analysis and insight, and faster report generation. How to make data management smarter?

The practice of some industry leaders is to rely on analytical technology to expand new customers and create competitive advantage. Therefore, data warehouse plays a central role in business intelligence (BI) programs. However, traditional data warehouse projects are often very complex and take months or even years to create value for enterprises. In this regard, although most cloud service providers can quickly supply data warehouse infrastructure, in the vast majority of cases, enterprise database administrators (DBA) still need to install and manage their own database platform, and then work with line-of-business leaders to build data models and analytical applications. Therefore, many enterprises still want to go further and make full use of and develop online data. To this end, some enterprises begin to turn their attention to the cloud, hoping to solve the scalability problem through the cloud. However, what most cloud service providers do is shift the problem to the new infrastructure, and enterprises still need to do it themselves to keep the entire platform running efficiently.

On the other hand, Oracle ADW can bring a simpler application experience and help enterprises to deal with data problems easily. Oracle autonomous data warehouse cloud is not only a new way of data storage and analysis, but also an innovative way to mine more value from the data. Oracle ADW can organically integrate complex data into a unified and integrated platform, helping enterprises to achieve high-speed data processing and immediately start the journey of deep insight and analysis. In addition, report generation can be immediately visible, so that enterprises have more time and energy to analyze and insight into data. Moreover, under the condition that the business process is not interrupted, users can take it on demand and pay for it, which greatly saves the cost and brings a greater return for the enterprise's IT investment.

As for which application scenarios and outstanding performances are more suitable for the Oracle ADW business data platform, Mr. Wu Chengyang will share them specifically on the day of the conference. In short, DTCC2019 is a technical feast for people working in the database field, and the sharing of the content of the Oracle ADW business data platform can make the vast number of participants come back with a full load.

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