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Data Governance: Concept, Models, Framework, Tools, and Implementation Best Practices

AltexSoft

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

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Elevating Productivity: Cloudera Data Engineering Brings External IDE Connectivity to Apache Spark

Cloudera

Powered by integrated platform services, Cloudera Data Engineering ensures data governance with robust data handling and automated lifecycle lineage tracking. Simplified Workflows and Iterative Collaborations : With Apache Airflow, Cloudera Data Engineering provides API integrations for external data tools like dbt.

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Snowflake Unistore: Hybrid Tables Now Generally Available

Snowflake

These organizations and many more are using Hybrid Tables to simplify their data architectures and governance and security by consolidating transactional and analytical workloads onto Snowflake's single unified data platform. Watch a demo of a low-latency data serving with Hybrid Tables.

Food 73
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Modern Data Management Essentials: Exploring Data Fabric

Precisely

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

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DataKitchen’s Best of 2021 DataOps Resources

DataKitchen

Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. DataOps is Not Just a DAG for Data. Data Observability and Monitoring with DataOps. DataOps is NOT Just DevOps for Data. Data Governance as Code. Top 10 Blog Posts.

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A Primer On Enterprise Data Curation with Todd Walter - Episode 49

Data Engineering Podcast

Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science. Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it?

Data Lake 100
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Know Before You Go – Trust ’23: the Precisely Data Integrity Summit

Precisely

ET for exciting keynotes, interactive panels, breakout sessions, and brand-new demos – all chock-full of valuable insights and takeaways for everyone, across industries. And, you’ll be able to see these capabilities in action with an exclusive demo. And, we’ll share how our latest innovations help you unlock success along the way.