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Data Warehouse Service DWS; Where it is used

Latest reply: Feb 26, 2022 15:32:23 649 23 12 0 0

Introduction

GaussDB(DWS) is an online data processing database that makes use of public cloud infrastructure to give a scalable, fully-managed, and out-of-the-box analytic database solution that takes care of database maintenance and monitoring for you. It's a native cloud service based on Huawei's GaussDB converged data warehouse, and it's completely compatible with ANSI SQL 99 and SQL 2003, as well as the PostgreSQL and Oracle ecosystems. In a variety of industries, GaussDB(DWS) provides competitive solutions for PB-level big data analysis.

 

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Cases for Applications:

There are several application scenarios for DWS here we are going to discuss the important ones.

Migration of a Data Warehouse

For businesses, a data warehouse is an important data analysis system. Due to scalability limits and expensive costs, the performance of self-built data warehouses cannot satisfy the actual service needs as the service volume develops. GaussDB(DWS) is a cloud-based enterprise-class data warehouse that offers high performance, low cost, and easy scaling to meet the demands of the big data era.

The data warehouse is the backbone of the BI system, and it's where huge amounts of data are collected, stored, and analysed. It is used in the IoT, banking, education, mobile Internet, and O2O industries to fuel corporate decision analysis.

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Enhanced ETL + Real-Time BI Analysis

Data Migration allows you to import data in batches from multiple data sources in real time.High-performance, cost-effective PB-level data storage and reaction to trillions of data records in seconds for correlation analysis.Real-Time Consolidates service data in real-time and enables operational decision-making with actionable insights.

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Real-Time Data Analysis

To extract the full value of data in the mobile Internet and IoT domains, massive volumes of data must be processed and evaluated in real time. GaussDB(DWS) allows for quick data input and querying, which speeds up data analysis.

Importing Streaming Data in Real-Time

After being processed by the stream computing and AI services, data from IoT and Internet applications can be written into GaussDB(DWS) in real time.

Monitoring and Prediction in Real-Time

Data analysis and prediction are used to monitor, control, optimise, supply, self-diagnose, and self-heal devices.

Analysis of Converged AI

Correlation analysis is supported on the outcomes of picture and text data analysis (by AI services) as well as other service data.

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Conclusion:

Database Security Service (DBSS) is linked with GaussDB(DWS) to better safeguard your privacy and data. A unified console simplifies the management of data warehouses, allowing you to concentrate on data and services.

You may confidently move heterogeneous databases with the easy database migration tool. In seconds, you may import real-time data into databases and execute T+0 rapid service analysis and decision-making, as well as correlation analysis on at-scale data. For data migration, GaussDB(DWS) employs third-party ETL and CDM, and it supports publishing data in real time using Copy APIs powered by JDBC.

 


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phuta
Created Dec 8, 2021 05:21:30

Good share
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MahMush
MahMush Created Dec 9, 2021 06:02:36 (0) (0)
thank you for your time to give your feed back...  
MahMush
Moderator Author Created Dec 9, 2021 06:04:09

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lucian2003
lucian2003 Created Dec 9, 2021 13:28:46 (0) (0)
Thanks  
MahMush
MahMush Reply lucian2003  Created Dec 10, 2021 05:15:12 (0) (0)
please share your thoughts on it ..  
Unicef
MVE Created Dec 9, 2021 06:54:24

Well done conclusion
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MahMush
MahMush Created Dec 10, 2021 05:04:15 (0) (0)
gladto hear it .you get some things useful ...  
DragonVN
Created Dec 9, 2021 14:01:25

Great share
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MahMush
MahMush Created Dec 10, 2021 05:04:49 (0) (0)
thank you for your feedback  
Saqib123
Moderator Created Dec 10, 2021 12:49:34

Good share
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MahMush
MahMush Created Feb 19, 2022 07:13:36 (0) (0)
thanks for your feedback  
MahMush
MahMush Created Feb 19, 2022 07:14:50 (0) (0)
thanks  
MahMush
MahMush Created Feb 19, 2022 07:15:34 (0) (0)
glad to know it  
Saqibaz
Saqibaz Created Feb 26, 2022 15:32:33 (0) (0)
 
Anno7
Moderator Author Created Dec 11, 2021 13:48:49

great sharing
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MahMush
MahMush Created Dec 11, 2021 13:54:28 (0) (0)
please share your thoughts  
MahMush
MahMush Created Feb 19, 2022 07:15:05 (0) (0)
learning we grow  
faysalji
Moderator Author Created Feb 13, 2022 11:55:27

Well described, thanks
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MahMush
MahMush Created Feb 19, 2022 07:14:37 (0) (0)
thanks hope you learned alot  
MahMush
MahMush Created Feb 19, 2022 07:15:49 (0) (0)
thanks for your response  
user_4358465
Created Feb 18, 2022 15:24:25

Explained in a very simplified manner. Thank you
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MahMush
MahMush Created Feb 19, 2022 07:14:09 (0) (0)
thanks for such a nice compliment  
Saqibaz
Created Feb 26, 2022 15:32:23

Thanks for sharing
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