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.

Data Warehouse 89

Data Warehouse Analytics Metrics Snapshot 89

AWS Big Data

NOVEMBER 9, 2023

dbt enables you to write SQL select statements, and then it manages turning these select statements into tables or views in Amazon Redshift. dbt’s SQL-based framework made it straightforward to learn and allowed the existing development team to scale up quickly.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

Sisense

JANUARY 25, 2020

SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. If we’re using Postgres, regexp_split_to_table comes to the rescue. Making a Table of Numbers. Joining Our Table To Numbers.

Dashboards 92

Dashboards IT 92

AWS Big Data

FEBRUARY 14, 2023

This approach helps the teams add tables with few changes and also maintains the job status with minimum effort. In this post, we show you how to easily replicate all your relational data stores into a transactional data lake in an automated fashion with a single ETL job using Apache Iceberg and AWS Glue.

Data Lake 77

Data Lake Statistics Data Architecture Finance 77