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9 business intelligence certifications to advance your BI career

CIO

Certified Business Intelligence Professional IBM Data Analyst Professional Certificate Microsoft Certified: Power BI Data Analyst Associate QlikView Business Analyst SAP Certified Application Associate: SAP BusinessObjects Business Intelligence Platform 4.3 SAS Certified Specialist: Visual Business Analytics Specialist.

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SAS and Apache Hadoop for Government

CTOvision

New in the CTOvision Research Library: We have just posted an overview of an architectural assessment we produced laying out best practices and design patterns for the use of SAS and Apache Hadoop, with a focus on the government sector. On 21 May we will be providing a deep dive into these architectural patterns with an engineer from SAS.

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Building a Beautiful Data Lakehouse

CIO

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

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Attention All Pentaho Users: More Proof You Are In Good Company

CTOvision

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. The introduction of Pentaho Business Analytics 5.0

Big Data 107
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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

Successful digital transformation moves organizations towards much more data-centric business models where those that can best drive value for their customers and their own companies out of the data they collect are the winners.

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Altexsoft - Untitled Article

Altexsoft

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Data warehouse architecture. The architecture of a data warehouse is a system defining how data is presented and processed within a repository. Traditional data warehouse architecture.

Backup 115
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How to take machine learning from exploration to implementation

O'Reilly Media - Data

The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics.