Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
Deploy Data Quality tools/Data Trust Monitors Across Pipelines to Reduce Dark Data
Seth Rao, CEO of FirstEigen, speaks about building a data trustability platform, ensuring data trustworthiness, the importance of a data…
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How to Build a Data Mesh Architecture
Is your organization ready to implement a data mesh architecture? Building a data mesh involves transitioning from a centralized to…
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Data Integration: Challenges, Best Practices, and Tools
How well does your organization integrate data from multiple sources? Effective data integration is critical to turning raw data into…
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The Quick and Easy Guide to Data Preparation
Do you know why data preparation is important to your organization? Poor-quality or “dirty” data can result in unreliable analysis…
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How to Create a Data-Driven Culture in Your Organization
Quality data enables businesses to make informed decisions, maximize profits, and implement data-driven technologies. The catch? Obtaining the data can…
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Data Ingestion: Pipelines, Frameworks, and Process Flows
Do you know how data is ingested into a system? Can you distinguish between a data pipeline, data framework, and…
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How to Set Up a Managed Airflow Environment on AWS
Harnessing the power of cloud-based workflow management has become indispensable in modern IT environments. Amazon Web Services (AWS) offers Amazon…
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The Definitive Guide to Data Management in the Enterprise
What is enterprise data management—and how does data management impact your organization? Data management is essential to any enterprise, ensuring…
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The Ins and Outs of Databricks Data Quality and Validation
Does your organization use Databricks? If so, how familiar are you with Databricks’ data quality and validation features? Do you…
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Quality, Validation, and Observability with Snowflake
Do you know how to get optimal use from Snowflake? Snowflake is a data ingestion and warehousing solution used by…
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