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Learn how to document and communicate your big data ETL or ELT pipeline architecture and workflow with best practices and tools for data integration, processing, and orchestration.
ROUND ROCK, Texas, May 12, 2025 /CNW/ -- Actian, the data division of HCLSoftware, today launches Actian Data Observability, which leverages AI and machine learning for comprehensive data quality ...
Organizations must improve data quality if they want to make effective data-driven decisions. But as data teams collect more data than ever before, manual interventions alone aren’t enough. They also ...
Dataops observability targets similar objectives, only these tools analyze data pipelines, ensure reliable data deliveries, and aid in resolving data quality issues.
Observability by definition is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In other words, a system's behavior is determined from its ...
Acceldata, the company behind a data observability platform used by multinational enterprises, including Oracle and Verisk, today announced it has raised $50 million in a Series C round of funding.
Data quality techniques are by now well-known and relatively easy to apply, while data observability can be more complex to implement, but in the end, both are needed to holistically contribute to ...
Data observability is a set of practices and tools that monitor, measure and analyze the health of data as it moves through systems. By tracking attributes such as freshness, quality and lineage ...
Data observability startup Acceldata Inc. today is adding artificial intelligence-powered data reconciliation capabilities to its platform that automate many manually intensive tasks such as colu ...
Provides complete visibility across complex, modern data stacks to build reliable, AI-ready data ROUND ROCK, Texas, May 12, 2025 /PRNewswire/ -- Actian, the data division of HCLSoftware ...
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