AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. They use various AWS analytics services, such as Amazon EMR, to enable their analysts and data scientists to apply advanced analytics techniques to interactively develop and test new surveillance patterns and improve investor protection.

Big Data 79

Big Data Data Processing Interactive Testing 79

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. The data products from the Business Vault and Data Mart stages are now available for consumers.

Data Lake 87

Data Lake Data Warehouse Data-driven B2B 87

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. This solution includes a Lambda function that continuously updates the Amazon Location tracker with simulated location data from fictitious journeys.

Analytics 92

Analytics IoT Metadata Internet of Things 92

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Choose Save changes.

Sales 52

Sales Data Warehouse Visualization Testing 52

Alation

OCTOBER 28, 2021

This, in turn, empowers data leaders to better identify and develop new revenue streams, customize patient offerings, and use data to optimize operations. Storing the same data in multiple places can lead to: Human error: mistakes when transcribing data reduce its quality and integrity.

Data Governance 52

Data Governance Measurement Modeling Metrics 52