datapine

SEPTEMBER 27, 2022

Structured Query Language (SQL) is the most popular language utilized to create, access, manipulate, query, and manage databases. Learning SQL is incredibly useful for querying databases, operating online BI (Business Intelligence) tools, and leveraging the more complex features of BI platforms.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. An Amazon Aurora MySQL-Compatible Edition cluster version 8.0. To get started with this feature, see Querying the AWS Glue Data Catalog.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

AWS Big Data

APRIL 10, 2024

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Choose Query data to open the query editor v2.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

datapine

AUGUST 14, 2019

They might implement a MySQL report builder to relieve the IT department from carrying out SQL queries and, therefore, save enormous amounts of resources and create a cost-effective business environment. Key functions and usage: database management, analysis, querying. performing backup and recovery.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

AWS Big Data

SEPTEMBER 13, 2023

Amazon Athena is used for interactive querying and AWS Lake Formation is used for access controls. Set up Amazon RDS for MySQL Complete the following steps to set up Amazon RDS for MySQL as the operational data source: Provision Amazon RDS for MySQL. Connect to the database instance using MySQL Workbench or DBeaver.

Data Lake 89

Data Lake Data Processing Metadata Snapshot 89

AWS Big Data

JUNE 28, 2023

That’s why AWS is investing in a zero-ETL future so that builders can focus more on creating value from data, instead of preparing data for analysis. Another example of AWS’s investment in zero-ETL is providing the ability to query a variety of data sources without having to worry about data movement. Challenges with ETL What is ETL?

Analytics 68

Analytics Data Warehouse Data Lake Data-driven 68

FineReport

FEBRUARY 23, 2020

Oracle, DB2, Microsoft SQL Server, Microsoft Access, MySQL are the popular relational database nowadays. After connected, you can use SQL to query data and then generate reports. SSRS Report Builder. It provides a ‘Report Builder’ tool for less technical users to format SQL reports of lesser complexity.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98