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Building a Beautiful Data Lakehouse

CIO

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

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What is OLAP: A Complete Guide to Online Analytical Processing

Altexsoft

Namely, we’ll explain what functions it can perform, and how to use it for data analysis. As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. An overview of data warehouse types.

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Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. If the amount of data is small, any kind of database can be used.

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How to Successfully Implement HR Analytics and People Analytics in a Company

Altexsoft

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. The platform provides “ business intelligence, planning, and predictive capabilities within one product” and uses AI and ML. Tools for data integration.