I'm looking to build some BI Analytics into my software (NodeJS, mySQL). Thus far the analytics for clients have been done manually with Excel and some fancy pivot tables. Clients have asked for these analytics to be built directly into the software so it stays up to date. Thinking about...
MySQL to your data warehouse in minutes Stitch delivers your data to storage platforms purpose-built for fast data analysis. Amazon Redshift Amazon S3 Microsoft Azure Synapse Analytics Delta Lake on Databricks data.world Google BigQuery Microsoft SQL Server ...
The QuerySurge technology addresses the issue by automating data warehouse testing, management, scheduling, execution, analysis, and reporting. It compares datasets up to thousands of times faster than manual testing without any effect on data warehouse performance. ...
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The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data 📊 visualizationmysqlslackpostgresdataclojurebidatabasedashboardanalyticsreportingbusinessintelligencepostgresqldata-visualizationmetabasebusiness-intelligencedata-analysissql-editor ...
paper:Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System 相关 paper:QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 相关 paper:MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis 相关 paper:XInsight: eXplain...
Kumar, L., Rajawat, S., and Joshi, K. (2015). Comparative analysis of NoSQL (MongoDB) with MySQL Database. International Journal of Modern Trends in Engineering and research IJMTER, 120-127.Lokesh Kumar , Dr. Shalini Rajawat and ,Krati Joshi, "Comparative analysis of NoSQL (MongoDB)...
Data Centralization: Syncing MySQL data with MS SQL Server enables centralized data management, facilitating comprehensive operational insights and ensuring data consistency across multiple sources. Historical Data Analysis: Overcome MySQL’s limitations on historical data by transferring data to MS SQL Server...
As of August 31, 2024, Azure Database for MySQL no longer supports custom maintenance windows for Burstable-tier instances. This change helps simplify maintenance processes and ensure optimal performance. Also, our analysis indicated that the number of users who use custom maintenance windows on Bur...
3.4 Analysis and decision-making design After having more complete data, the next step is to make decisions based on the data and infer possible root causes. In this part, we use a method based on expert experience combined with AI. We divide the evolution path into four stages: ...