Digital Transformation Metadata Optimization Structured Data 
erwin
SEPTEMBER 10, 2020
This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience. But given the volume, velocity and variety of data (the three Vs of data) we generate today, producing and keeping up with end-to-end data linage is complex and time-consuming.
AWS Big Data
MARCH 13, 2024
This method uses GZIP compression to optimize storage consumption and query performance. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Choose Run. You’re now ready to query the tables using Athena.
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Ontotext
SEPTEMBER 7, 2023
But the use cases that it’s very good at have really exploded, particularly around digital transformation. There’s a quote I use from Scott Taylor’s book, “Anybody who has data has data problems.” I’ve been given a mandate for digital transformation. Would you agree? Malcolm : Okay.
CIO Business Intelligence
MARCH 6, 2023
We use Snowflake very heavily as our primary data querying engine to cross all of our distributed boundaries because we pull in from structured and non-structured data stores and flat objects that have no structure,” Frazer says. The customer hovered for two seconds and didn’t click that type of data.
AWS Big Data
DECEMBER 21, 2023
To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.
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