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Optimizing The Data Warehouse: A Big Data Blueprint from Pentaho

CTOvision

We previously wrote about the Pentaho Big Data Blueprints series, which include design packages of use to enterprise architects and other technologists seeking operational concepts and repeatable designs. Save data costs and boost analytics performance. An intuitive graphical, no-coding big data integration.

Big Data 119
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PentahoWorld Keynotes Unveil Big Data Orchestration Platform Instrumental to Data-Driven Future

CTOvision

Editor’s Note: Pentaho’s open approach and value added enterprise capabilities are making it a very popular framework for knitting together organizational data holdings. PentahoWorld Keynotes Unveil Big Data Orchestration Platform Instrumental to Data-Driven Future. Advanced Data Security in Hadoop.

Big Data 105
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Pentaho 5.3 Continues To Deliver On Big Data Analytics With Scale Including AWS Redshift and Impala

CTOvision

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Enterprise Cloud Analytics with Amazon Redshift. “We

Big Data 109
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Firebolt raises $37M to take on Snowflake, Amazon and Google with a new approach to data warehousing

TechCrunch

At Sisense, these three were coming up against an issue: When you are dealing in terabytes of data, cloud data warehouses were straining to deliver good performance to power its analytics and other tools, and the only way to potentially continue to mitigate that was by piling on more cloud capacity.

Data 253
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A look at the Hadoop Big Data Reservoir with Platfora’s Peter Schlampp

CTOvision

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

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What is data analytics? Analyzing and managing data for decisions

CIO

Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results. In business analytics, this is the purview of business intelligence (BI). Data analytics and data science are closely related.

Analytics 203
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What is business intelligence? Transforming data into business insights

CIO

The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. BI vendors Tableau and G2 also offer concrete examples of how organizations might put business intelligence tools to use: A co-op organization could use BI to keep track of member acquisition and retention.