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Beyond the Data Complexity: Building Agile, Reusable Data Architectures

The Modern Data Company

BCG research reveals a striking trend: the number of unique data vendors in large companies has nearly tripled over the past decade, growing from about 50 to 150. This dramatic increase in vendors hasn’t led to the expected data revolution. The limited reusability of data assets further exacerbates this agility challenge.

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Data Engineering Weekly #161

Data Engineering Weekly

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. The article concludes with a look at data contracts as a concrete example of these principles in practice.

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Data Engineer Roles And Responsibilities 2022

U-Next

To create autonomous data streams, Data Engineering teams use AWS. Therefore you’ll need to be familiar with the creation and implementation of cloud-based data architecture with this platform. Kafka – Kafka is an open-source framework for processing that can handle real-time data flows.

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Wizeline and Ascend.io Join Forces to Unleash AI-Powered Data Automation

Ascend.io

to bring its cutting-edge automation platform that revolutionizes modern data engineering. .” This tool will identify cost-saving opportunities, uncover security vulnerabilities, and propose architectural improvements, leading to more informed decision-making. By combining their respective expertise, Wizeline and Ascend.io

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is the role of a Data Engineer? Data scientists and data Analysts depend on data engineers to build these data pipelines.

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Building a Future in Banking and Capital Markets

The Modern Data Company

This means moving beyond product-centric thinking to a data-driven customer experience model that’s consistent across all channels. Next, the wealth management industry is also shifting away from a product focus to a client-centric model. DataOS is the world’s first operating system.

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Data Lineage Tools: Key Capabilities and 5 Notable Solutions

Databand.ai

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? It provides context for data, making it easier to understand and manage.