<progress id="j3vxj"></progress>
      <span id="j3vxj"><span id="j3vxj"></span></span>

          <big id="j3vxj"></big>

            <listing id="j3vxj"><progress id="j3vxj"></progress></listing>
            <big id="j3vxj"><progress id="j3vxj"><form id="j3vxj"></form></progress></big>
            <progress id="j3vxj"><thead id="j3vxj"><video id="j3vxj"></video></thead></progress>

              Stock Code:300925
              English >

              Data Warehouse Upgrade Plan


              (1) Device test data grows by 10TB per year, and storage capacity is tight.

              (2) Historical data cannot be effectively accessed and used after archiving.

              (3) Massive data causes low database query performance.

              (4) Traditional report statistics cannot locate defects and assess their impact.

              Solving Problems

              To meet the increasing business needs and solve various technical problems arising from business development

              • Technical Problems

                Enable close collaboration between
                staff and data warehouse support staff

              • Data Integration Issues

                Data extraction, transformation,
                and loading

              • Performance and Growth Issues

                Users' large-scale data query and
                consulting needs

              Architecture Design

              Program Value

              (1) The optimized data model is a data model that is being referenced and analyzed for massive data, which greatly improves the performance of customer data query and analysis.

              (2) Achieving effective data life cycle management, and solving the problem of excessively fast data increments that have long plagued customers.

              (3) With the introduction of complete BI tools, data analysts can quickly and flexibly query and analyze data.

              (4) Optimize the database architecture (tables, views, indexes, partitions), improve the overall performance by 20 times, general data query pages, displayed within 2 seconds, far exceeding customer expectations.

              (5) According to tests, the overall query performance of the system is 20 times that of the original system, far exceeding the customer's expectations.

              Change the world with customers using innovative business technology services!
              Contact us

              ? 2020 Shenzhen Farben Information Technology Co., Ltd. All rights reserved 粵 ICP No. 11012762號-1

              Advisory Message

              Cooperation Hotline:oversea_sales@farben.com.cn

              Cooperation mailbox:mkt@farben.com.cn

              Contact Farben information