ProjectPro

JUNE 6, 2025

For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools. As a result, when a query is made to the database, tasks are divided and run concurrently across multiple servers rather than sequentially handling data.

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ProjectPro

JUNE 6, 2025

Using Amazon Redshift, data engineers can analyze all of the data in operational databases, data lakes, data warehouses, and third-party data. It is an alternative to business intelligence and data visualization tools like Microsoft's Power BI and Tableau.

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Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. I did not call it object-centric but dynamic data model.

Architecture 52

Architecture Database-centric Process BI 52

Edureka

JULY 3, 2024

This makes the data ready for consumption by BI tools, analytics applications, or other systems. Azure Data Factory Data Migration: Overview Cross-Region: Source & Sink Setup: Configure data source (storage accounts, databases) in both regions. This ensures the data is available for further processing and analytics.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

AltexSoft

JULY 18, 2023

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.

Big Data 52

Big Data Data Process Process Hadoop 52

phData: Data Engineering

JULY 18, 2023

Central Source of Truth for Analytics A Cloud Data Warehouse (CDW) is a type of database that provides analytical data processing and storage capabilities within a cloud-based infrastructure. Zero Copy Cloning: Create multiple ‘copies’ of tables, schemas, or databases without actually copying the data.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52