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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

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What is data analytics? Analyzing and managing data for decisions

CIO

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. In business analytics, this is the purview of business intelligence (BI).

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.

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Building a Beautiful Data Lakehouse

CIO

However, it also supports the quality, performance, security, and governance strengths of a data warehouse. As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform.

Data 178
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Optimizing The Data Warehouse: A Big Data Blueprint from Pentaho

CTOvision

Save data costs and boost analytics performance. Achieve higher processing performance with Pentaho MapReduce when running in cluster. Achieve higher processing performance with Pentaho MapReduce when running in cluster. Affordably scale machine data from storage devices for customer application. How it works.

Big Data 119
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Quick Guide to Building an ETL Pipeline Process

The Crazy Programmer

It takes raw data files from multiple sources, extracts information useful for analysis, transforms it into file formats that can serve business analytics or statistical research needs, and loads it into a targeted data repository. For efficient task automation, scheduling should be done to avoid performance and memory issues.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?