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Data Engineering Zoomcamp – Data Ingestion (Week 2)

Hepta Analytics

When the business intelligence needs change, they can go query the raw data again. ELT: source Data Lake vs Data Warehouse Data lake stores raw data. The purpose of the data is not determined. The data is easily accessible and is easy to update. x+ and set minimum memory to 5GB.

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Data Engineering Weekly #114

Data Engineering Weekly

SiliconANGLE theCUBE: Analyst Predictions 2023 - The Future of Data Management By far one of the best analyses of trends in Data Management. 2023 predictions from the panel are; Unified metadata becomes kingmaker. The names hold less meaning to the outcome, but its fancy.

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Data Orchestration: Defining, Understanding, and Applying

Ascend.io

Data orchestration is the process of efficiently coordinating the movement and processing of data across multiple, disparate systems and services within a company. Data pipeline orchestration is characterized by a detailed understanding of pipeline events and processes. Not every team needs data orchestration.

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

Airbyte – An open source platform that easily allows you to sync data from applications. Data streaming ingestion solutions include: Apache Kafka – Confluent is the vendor that supports Kafka, the open source event streaming platform to handle streaming analytics and data ingestion.

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The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

AltexSoft

Moreover, over 20 percent of surveyed companies were found to be utilizing 1,000 or more data sources to provide data to analytics systems. These sources commonly include databases, SaaS products, and event streams. Databases store key information that powers a company’s product, such as user data and product data.

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