Data Transformation Data Warehouse Marketing Testing 
AWS Big Data
NOVEMBER 9, 2023
A modern data platform entails maintaining data across multiple layers, targeting diverse platform capabilities like high performance, ease of development, cost-effectiveness, and DataOps features such as CI/CD, lineage, and unit testing. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.
Cloudera
JULY 21, 2022
Co-author: Mike Godwin, Head of Marketing, Rill Data. Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Cloudera Data Warehouse). Efficient batch data processing.
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datapine
SEPTEMBER 29, 2022
6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. Industry-wide, the positive ROI on quality data is well understood. Why You Need Data Quality Control: Use Case.
Alation
JANUARY 17, 2023
The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.
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. These upstream data sources constitute the data producer components.
CIO Business Intelligence
JANUARY 9, 2023
To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.
IBM Big Data Hub
JANUARY 18, 2023
This time, at least three different data platform solutions are emerging: Data Lakehouse, Data Fabric, and Data Mesh. While this is encouraging, it is also creating confusion in the market. Transformation must be performed continuously to keep the BLOB and data warehouse storage in sync, adding costs.
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