Data Ingestion Architecture - Learn Data Science with Travis

Building a Scalable and Open-Source Data Lake End to End Architecture :

Level Up Coding

Data Ingestion : Using Change Data Capture ( CDC ) with Debezium to stream data from MySQL transaction tables into Kafka topics, ensuring real-time data ingestion. Data Storage : Persisting…

Using Databricks Autoloader to support Event-Driven Data Ingestion

Towards Data Science

Simplifying incremental ingestion of data into the Lakehouse with Autoloader Continue reading on Towards Data Science

Data Engineering: Incremental Data Loading Strategies

Towards Data Science

Years of serving as a data engineer and analyst working on integrating many data sources into enterprise data platforms, I managed to encounter one complexity after another when trying to incrementall...

The Data Mesh architecture

Towards Data Science

The architecture of data is not just a technical architecture but is also an organizational structure, therefore, making it a key factor for building any data empire. Over time there have been…

Big Data Architecture Concepts

Analytics Vidhya

With the advancement of technology, the volumes of data organisation’s collect have increased exponentially. A big data architecture is used to ingest, process and analyse data that is too…

The Reactive Streams Ingestion (RSI) Library— DataLoad Mode

Oracle Developers

High-performance data access with Java by Juarez Junior Introduction Part 1 in this series introduced the Java Library for Reactive Stream Ingestion (RSI), its API, and Oracle Database Free as the tar...

Data Management Architectures — Monolithic Data Architectures and Distributed Data Mesh

Towards Data Science

A data management architecture governs how organizations collect, store, secure, arrange, integrate and use data. A good data management architecture provides clarity about every aspect of data and…

Building a Confidential Data Mesh

Towards Data Science

The most common data engineering architectures are Data lakes and Data warehouses. Both are centralized systems: data from every data-producing entity is pooled into one location with a single data…

Understanding Data Lineage: From Source to Destination

Towards AI

I went to a restaurant yesterday, “Anthera.” After eating my fourth or fifth piece of pepper chicken, which, by the way, was delicious, I started to be amazed by our capability to digest and savor it....

What is the Data Architecture we Need?

Towards Data Science

In the new era of Big Data and Data Sciences, it is vitally important for an enterprise to have a centralized data architecture aligned with business processes, which scales with business growth and…

Datalake File Ingestion: From FTP to AWS S3

Towards Data Science

Hello everyone. When developing Datalake pipe lines, data ingestion is an important step in the entire process. We need a reliable, secure and fault tolerant method to bring our files from…