Data warehousing
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Data warehousing News
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June 23, 2022
23
Jun'22
Starburst acquires Varada to accelerate data lake queries
After a year of partnering, the data lake query vendor decided to acquire fellow Trino SQL query engine supporter Varada to help boost query performance.
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June 14, 2022
14
Jun'22
Yellowbrick 6 advances cloud data warehouse deployments
The data warehouse vendor is growing its hybrid data warehouse capabilities with version 6.0 of its namesake platform that is now enabled to run on AWS.
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June 14, 2022
14
Jun'22
Snowflake Data Cloud expands with Unistore Hybrid Tables
Snowflake adds more capabilities, including support for Apache Iceberg data lake tables and both transactional and analytics workloads, with Hybrid Tables.
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June 09, 2022
09
Jun'22
Datamart a new self-service developer tool in Power BI
The capability, now in in preview, will enable Premium customers to build small to midsize relational databases dedicated to a single subject, without requiring code.
Data warehousing Get Started
Bring yourself up to speed with our introductory content
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Elastic Stack (ELK Stack)
The Elastic Stack is a group of open source products from Elastic designed to help users take data from any type of source and in any format, and search, analyze and visualize that data in real time. Continue Reading
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How to evaluate and optimize data warehouse performance
Organizations build data warehouses to satisfy their information management needs. Data warehouse optimization can help ensure that these warehouses achieve their full potential. Continue Reading
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6 key steps to develop a data governance strategy
Data governance shouldn't be built around technology, but the other way around. Existing infrastructure, executive support, data literacy, metrics and proper tools are essential. Continue Reading
Evaluate Data warehousing Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Bill Inmon's data warehouse approach tackles text analysis
Learn the fine points of a concept at the heart of 'The Textual Warehouse' a new book that aims to help organizations profit through textual analysis. Continue Reading
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Apache Pulsar vs. Kafka and other data processing technologies
David Kjerrumgaard looks at how the distributed messaging platform Apache Pulsar handles storage compared to Apache Kafka and other data processing technologies. Continue Reading
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Data warehouse technologies evolve as vendors look skyward
The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. Continue Reading
Manage Data warehousing
Learn to apply best practices and optimize your operations.
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NLP and AI boost the automated data warehouse
Businesses are working to automate as many elements of their data warehouses as they can through nascent tools like augmented analytics and neuro-linguistic programming. Continue Reading
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Top 5 elements needed for a successful data warehouse
While conventional data warehouses may struggle to keep up with growing volumes of data, these five elements best give the ability to tap into valuable BI. Continue Reading
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6 strategies to tap into data warehouse BI
Data warehouse BI benefits include data storage, summarization and transformation and can be unlocked with these six strategies leveraging cloud architectures. Continue Reading
Problem Solve Data warehousing Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Dimension tables vs. fact tables: What's the difference?
Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data. Continue Reading
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Operational data store vs. data warehouse: How do they differ?
Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures. Continue Reading
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Key issues to consider when building a data warehouse
There are numerous issues, both technical and cultural, that organizations need to consider before building a data warehouse. Learn what they are from our data warehousing expert. Continue Reading