Ten years after the Teradata Summit: Geo-Space brings "data tsunami"

May 28, the Teradata Data Warehouse summit in Sanya ushered in the tenth year, Teradata to the Chinese user introduced the Teradata Geospatial solution, accompanied by, not only the influx of massive data, there are more can be used for decision making reference, This is the new industry standard that Teradata to bring to the data warehouse.

Teradata Geo-Spatial Solutions

Teradata chief Technology Officer Baoliming at the Teradata Data Warehouse summit focused on Teradata's Teradata geo-space solution (Teradata Geospatial), released last November.

Baoliming that the data generated by the interaction has entered the Zettabyte (1021) era, and that the data generated over the past three years have been more than in the previous 40,000 years. While almost all data have a positional parameter, the location has become an important dimension of data. Sensor data and mobile applications are creating more and more data tagged by location. Moreover, the application of position perception is increasing, and the query begins to involve the dimension of space. More and more analytical applications will include characters, events, time, especially places, and many other dimensions. Decision makers in business and government institutions must have a strategy for dealing with location-based data. Teradata Geo-spatial solutions will help customers enrich their business analytics applications by effectively managing and developing geospatial data to gain a leading competitive advantage.

TERADTA provides geo-space for your advanced analytics solutions you need to connect to not only the ZIP code. Typically, location data is postal reference information such as the address. Although addresses are significant for delivering mail, they are of limited value to business intelligence or analytics. Teradata Geospatial Solutions allow enterprises to convert their data warehouse raw location data into normal latitude and longitude coordinates through a so-called geocoding process. Once the conversion is complete, the enterprise can integrate geospatial data and other customer data together for analysis.

Baoliming Introduction, Teradata Analytics, Data Warehouse rich data, and geo-spatial data combine to enable customers to solve many important business issues, such as: in the retail industry, high value customers are willing to drive how far to redeem discount coupons? In the financial sector, where should new branches be created to best serve the most profitable customers and attract new customers? Help the insurance industry analyze which customers live in disaster-prone areas? How does it affect the risk exposure of insurance companies? And how fast can the transportation industry position the parcel and redirect the delivery after receiving the customer's delivery request? In the communications industry, which geographical location telephone signal reception is the worst, resulting in customer churn?

There is no need for a dedicated geospatial data mart or for data transfer and system consolidation, Teradata Geospatial solutions can significantly reduce complexity and decision latency. Geo-spatial solutions have traditionally been deployed in departmental data silos or data marts, and they isolate data from valuable intelligence in the data Warehouse. Enterprises may have a number of independent data marts with data redundancy, which are isolated from the business data. Analysis of these isolated data leads to inaccurate, imprecise, and inconsistent business intelligence.

The challenges posed by massive data influx

Those who use the Teradata 13 database have a geo-spatial solution, moreover, the spatial data will become another standard of the database, however, facing the huge amount of data, how these data connect with the user's application, and how to connect with other systems, how to use the massive data? This is the problem that Teradata professional service team faces.

Joseph E. Wenig, vice president of Teradata Asia Pacific and Japan, believes this is an opportunity to help users, the existence of professional services team and its significance is to help users derive value from Teradata products, use the products of various functions, attributes to help users to integrate, analyze, They focus only on this, so they can do their best.

If there are problems such as business convergence, users can also choose other professional consulting services team to solve the problem together.

Zheng Boven, general manager of professional services at Teradata Greater China, said technicians just need constant technical challenges to have fun, and a lot of data influx is a challenge for them, but it's also a good opportunity to upgrade their technical capabilities, and has long accumulated experience in the field of database and business intelligence. will help them cope with this challenge.

Singlun has many years of business consulting experience in Microsoft before taking office as president of Teradata Greater China, and his participation will further strengthen Teradata's service investment in Greater China.

Data model ensures data standardization

However, even without massive influx of information, business intelligence processing and analysis on the original data has made many users have a headache for data standardization.

With regard to data standardization, Joseph E. Wenig said that Teradata has specifically introduced integrated, logical data models and specialized models for different industries, and that the value of data models is to help users facilitate implementation and application, And Teradata will continue to expand the application of the data model, and for different local markets, the introduction of localized data models.

According to Joseph E. Wenig, the Teradata data model will have a master data master that enables users to deploy quickly. and Teradata Professional Services team has a wealth of practical experience, to provide users with professional training, to help users deploy and use.

Of course, master Data Master is a very important part of the data model, and Teradata also has some tools available to users, making it easier to standardize data using Teradata's own experience in data warehousing.

In fact, the hardest thing is how data standardization can be better landed and sustained in user practice.

The company's external environment will change, the internal structure is not the same, the data model even after the laying down, users in the use of the process can follow the standards, and in accordance with the standard maintenance, is a huge challenge.

Therefore, Teradata will choose some properties more stable, unchanged content to the ground, so that the data model to ensure that the implementation of more powerful.

Even after a long time after the data model was established, a new data type or other change was needed in the business, and the user's own technical team was able to implement it, since Teradata's team had built the benchmark in the data model.

Setting up an enterprise Data warehouse is like a long journey, with huge amounts of data being expanded step-by-step, from the simplest solution to a larger solution, where the end user can master the doorway, and Joseph E. Wenig believes that, in this process, Users will be able to understand the advantages of Teradata products.

(Responsible editor: Lu Guang)