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X-Ray Vision For Your Flink Stream Processing With Datorios

Data Engineering Podcast

Summary Streaming data processing enables new categories of data products and analytics. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling. Support Data Engineering Podcast Summary Streaming data processing enables new categories of data products and analytics.

Process 147
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Managing Database Access Control For Teams With strongDM

Data Engineering Podcast

Summary Controlling access to a database is a solved problem… right? It can be straightforward for small teams and a small number of storage engines, but once either or both of those start to scale then things quickly become complex and difficult to manage.

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Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary.

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PRINCE2 Risk Management Approach: Types, Process, Strategy

Edureka

To enhance their risk management abilities, students also study business continuity planning, crisis management, and regulatory compliance. How Prince2 Leads to Effective Risk Management Types of Risk Responses Identified by Prince2 Prince2 Risk Management Process Prince2 risk management strategy Conclusion FAQs What is Prince2?

Process 40
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in.

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Data Science Management Explained: Process, Key Concepts

Knowledge Hut

The need for data science management is increasing with the fast-paced growth of the field and an array of projects therein. However, businesses often ponder over who can handle these tasks better, whether any project manager from a different field or an expert data scientist will be better. What is Data Science Management?

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Release Management For Data Platform Services And Logic

Data Engineering Podcast

Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat.