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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. What you have to code is this workflow !

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An Exploration Of What Data Automation Can Provide To Data Engineers And Ascend's Journey To Make It A Reality

Data Engineering Podcast

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. RudderStack helps you build a customer data platform on your warehouse or data lake.

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Unleashing the Power of CDC With Snowflake

Workfall

Moreover, it facilitates the implementation of microservices architectures and event-driven systems, automating reactions to data changes without manual intervention. It captures incremental changes from transactional databases or other sources, efficiently loading them into data warehouses or data lakes.

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Data Engineering Zoomcamp – Data Ingestion (Week 2)

Hepta Analytics

This week, we got to think about our data ingestion design. We looked at the following: How do we ingest – ETL vs ELT Where do we store the dataData lake vs data warehouse Which tool to we use to ingest – cronjob vs workflow engine NOTE : This weeks task requires good internet speed and good compute.

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The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part I)

Cloudera

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. However, in the context of time and geography, these two events point to a pattern of fraud. The card is being used for its purpose and the amounts are relatively insignificant.

Banking 60
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Addressing The Challenges Of Component Integration In Data Platform Architectures

Data Engineering Podcast

Developing event-driven pipelines is going to be a lot easier - Meet Functions! Data lakes are notoriously complex. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises.

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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. This contrasts with data pipeline orchestration , which adopts a narrower focus, centering on the construction, operation, and management of data pipelines.