Build a Real-time Analytics Application with TiDB Cloud
With more people shopping online due to the pandemic, PingExpress_DemoCorp’s business has scaled rapidly. Real-time tracking, status updates, and a detailed dashboard are very important to their business. In this tutorial, you will build a prototype for PingExpress_DemoCorp’s real-time analytics dashboard that runs on TiDB Cloud Developer Tier.
Uses for a Hybrid Transactional and Analytical Processing Database
With a Hybrid Transactional and Analytical Processing (HTAP) database like TiDB, you get the benefits of the transactional database, plus the goodness of an analytical database, all in a single package. But whether you need it depends on your application scenarios.
How a NewSQL Database Helps Keep Data Fresh and Maximize Its Business Value
This post talks about the pain points of current data solutions and shares how TiDB, a highly scalable enterprise-level distributed database, helps businesses keep their data fresh and realize the data’s business value.
The Past, Present, and Future of TiDB as an HTAP Database
Author: Shawn Ma (Tech Lead of the Real-time Analytics team at PingCAP) Transcreator: Ran Huang; Editor: Tom Dewan As the novel Romance of the Three Kingdoms tells us, “The empire, long divided, must unite; long united, must divide.” The same ebb and flow are taking place in the database world. In the beginning, one type of DBMS served all data requests. But […]
The Benefits of a Hybrid Transactional and Analytical Processing Database
Hybrid Transactional and Analytical Processing, or HTAP, is a defining feature of TiDB. It means that you can run both transactional and analytical queries from within the same database. TiDB provides HTAP, ensuring that your queries are always running against the most current data available.
Building a Real-Time Data Warehouse with TiDB and Pravega
This article introduces a new solution for real-time data warehouse: Pravega + TiDB. This combination resolves Kafka's data persistence dilemma and provides auto scaling capabilities.
Empower Your Business with Big Data + Real-time Analytics in TiDB
Big data is a growing need for ambitious companies. Learn the usage, cost, and technology selection of real-time big data analytics and how TiDB prevails over other solutions.
TiDB on JD Cloud: A Cloud-native Distributed Database Service
PingCAP teams up with JD Cloud to provide Cloud-TiDB service on the JD Cloud platform.
TiSpark: More Data Insights, Less ETL
The motivation behind building TiSpark was to enable real-time analytics on TiDB without the delay and challenges of ETL. Extract, transform, and load (ETL)--a process to extract data from operational databases, transform that data, then load it into a database designed to supporting analytics--has been one of the most complex, tedious, error-prone, and therefore disliked tasks for many data engineers. However, it was a necessary evil to make data useful, because there hasn't been good solutions on the market to render ETL obsolete--until now.