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The Future of the Data Lakehouse – Open

CIO Business Intelligence

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data.

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Azure Data Sources for Data Science and Machine Learning

Jen Stirrup

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure? Azure Data Lake Store.

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The New Normal for FP&A: Data Analytics

Jedox

Typically, we take our multiple data sources and perform some level of ETL on the data. That transformed data is then stored in a data warehouse or data lake, where it can be transformed further or left in a data mart to be delivered to our reporting, business intelligence and data visualization tools as necessary.

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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Towards Data Science ).

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Materialized Views in Hive for Iceberg Table Format

Cloudera

Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP). Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Starting from the CDW Public Cloud DWX-1.6.1