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Top Business Intelligence Platforms of 2024 [with Features]

Knowledge Hut

The strategic, tactical, and operational business decisions of a company are directly impacted by Business intelligence. BI encourages using historical data to promote fact-based decision-making instead of assumptions and intuition. What is Business Intelligence (BI)?

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.)

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

They are commonly used in applications such as data warehousing, business intelligence, and analytics. Apache Cassandra is a well-known columnar database that can handle enormous quantities of data across dispersed clusters. Spatial Database (e.g.-

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Top 15 Cloud Computing Projects Ideas for Beginners in 2023

ProjectPro

Cloud computing-based mini projects or cloud computing real-time projects will give you adequate exposure and experience on the cloud technologies along with other skills, such as data analytics, business intelligence, network management, and analytical abilities. It functions as per the data visualization concept.

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What is Data Hub: Purpose, Architecture Patterns, and Existing Solutions Overview

AltexSoft

The main purpose of a DW is to enable analytics: It is designed to source raw historical data, apply transformations, and store it in a structured format. This type of storage is a standard part of any business intelligence (BI) system, an analytical interface where users can query data to make business decisions.

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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.