Cost-Benefit Data Lake Data Transformation Testing 
AWS Big Data
AUGUST 9, 2023
The combination of a data lake in a serverless paradigm brings significant cost and performance benefits. By monitoring application logs, you can gain insights into job execution, troubleshoot issues promptly to ensure the overall health and reliability of data pipelines.
DataKitchen
JULY 27, 2023
Azure Functions: You can write small pieces of code (functions) that will do the transformations for you. Azure HDInsight: A fully managed cloud service that makes processing massive amounts of data easy, fast, and cost-effective. Power BI dataflows: Power BI dataflows are a self-service data preparation tool.
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AWS Big Data
DECEMBER 13, 2023
In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.
AWS Big Data
DECEMBER 21, 2023
The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.
AWS Big Data
NOVEMBER 13, 2023
Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.
AWS Big Data
MARCH 3, 2023
Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.
AWS Big Data
APRIL 25, 2024
In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.
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