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The enterprise advantages of automated data collection
Many organizations still rely on manual data entry that wastes time and results in low-quality data. Here are the latest automated data collection techniques and their benefits.
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Prefect raises $32M for dataflow automation technology
Data startup Prefect is looking to grow its open source project and commercial business to help organizations manage automated data pipeline requirements.
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Snowflake expands cloud data warehouse platform to Snowpark
Snowflake customer Instacart, the online grocery giant, uses the Snowpark cloud data warehouse to list all its services in a data catalog to improve the user experience.
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Dremio targets query speed with Dart Initiative
The cloud data lake engine platform vendor looks to accelerate queries with its Dart Initiative, which uses a query cache plan to optimize SQL queries against data lakes.
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How automated metadata management improves business insights
Automating metadata management can cut down time spent on tasks such as data tagging and cataloging. Explore how automated metadata management is improving data quality.
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Data governance Get Started
Who belongs on a high-performance data governance team?
Putting together a high-quality data governance team can be a challenge. Explore the necessary team members and best practices for a high-performing team.
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Project management Manage
Data warehouse environment modernization tools and tips
A data warehouse environment is made up of many tools and systems. Read on to learn the history of the modern data warehouse and how they're currently evolving.
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DBMS software Evaluate
Top open source database advantages for enterprises
Open source databases typically offer lower upfront costs and more community support and, in recent years, have offered strong competition to commercial database offerings.
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Data architecture Evaluate
The differences between a data warehouse vs. data mart
Data marts and data warehouses are both important in the decision-making process. Here are the biggest differences between the two repositories and why they each matter.
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Hadoop News
Informatica's MDM goes cloud-native
Updated MDM service benefits from integrations with the broader cloud-native Informatica platform that is built on top of a microservices Kubernetes-based architecture.
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Enterprise content management systems (6) +
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The ultimate guide to big data for businesses
Big data is the fuel for today's analytics applications. This in-depth big data guide explains how businesses can benefit from it and what they need to do to use it effectively.
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Time to build a comprehensive big data pipeline
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Hadoop vs. Spark: Comparing the two big data frameworks
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Big data quality and how to improve it
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Problem Solve
10 big data challenges and how to address them
Bringing a big data initiative to fruition requires an array of data skills and best practices. Here are 10 big data challenges enterprises must be ready for.
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Top 3 data privacy challenges and how to address them
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Data governance and COVID-19 data security challenges
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Common data lake challenges and how to overcome them
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The enterprise advantages of automated data collection
Many organizations still rely on manual data entry that wastes time and results in low-quality data. Here are the latest automated data collection techniques and their benefits.
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How automated metadata management improves business insights
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Top trends in big data for 2021 and beyond
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Time to build a big data architecture
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E-Handbook | January 2021
Enterprise data lakes hold the key to actionable insights
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E-Handbook | August 2020
Metamorphosis of Kafka Confluent event streaming technologies
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E-Handbook | June 2020
Data integration technologies unify multiple data stores
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E-Handbook | May 2020
Big data security management embraces governance, privacy
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E-Handbook | April 2020
When a DIY database management system design is the best fit
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Data Management/Data Warehousing Basics
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big data management
Big data management is the organization, administration and governance of large volumes of both structured and unstructured data.
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big data
Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications.
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star schema
A star schema is a database organizational structure optimized for use in a data warehouse or business intelligence that uses a single large fact table to store transactional or measured data, and one or more smaller dimensional tables that store ...
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Data quality management and governance
Quest updates Erwin Data Modeling and Data Intelligence
Quest is looking to build out what it calls a data empowerment platform with the help of data modeling and other technology from its recently acquired Erwin business unit.
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Data quality management and governance
Prefect raises $32M for dataflow automation technology
Data startup Prefect is looking to grow its open source project and commercial business to help organizations manage automated data pipeline requirements.
-
Data quality management and governance
Snowflake expands cloud data warehouse platform to Snowpark
Snowflake customer Instacart, the online grocery giant, uses the Snowpark cloud data warehouse to list all its services in a data catalog to improve the user experience.