Smart Data Collective

APRIL 29, 2020

Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Data transformation.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

AWS Big Data

NOVEMBER 15, 2023

The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse. In ELT, raw data is loaded into the data warehouse first, then it’s transformed directly within the warehouse.

Dashboards 99

Dashboards Analytics Metadata Data Warehouse 99

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. About the authors Amit Maindola is a Senior Data Architect focused on big data and analytics at Amazon Web Services.

Big Data 84

Big Data Data Processing Interactive Testing 84

IBM Big Data Hub

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Rocket-Powered Data Science

MARCH 20, 2023

With all the data in and around the enterprise, users would say that they have a lot of information but need more insights to assist them in producing better and more informative content. This is where we dispel an old “big data” notion (heard a decade ago) that was expressed like this: “we need our data to run at the speed of business.”

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 94

Data Lake Data Warehouse Data-driven B2B 94