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Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

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Innovating Operations in Agriculture: Kramp’s Real-Time Analytics Journey

Striim

Challenges Kramp Was Facing Kramp began a significant transformation of its data management systems with a goal to shift their existing data warehouse to a cloud-based infrastructure on the Google Cloud Platform.

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8 Data Ingestion Tools (Quick Reference Guide)

Monte Carlo

Let’s explore what to consider when thinking about data ingestion tools and explore the leading tools in the field. While it may not offer real-time streaming capabilities, its frequent data loading options provide a practical compromise for many use cases. Google Cloud Dataflow Image courtesy of Google Cloud.

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Data Engineering Weekly #125

Data Engineering Weekly

nHowever, High-Quality Data Creation and Data collaboration going to remain challenging. ","username":"ananthdurai","name":"at-ananth-at-data-folks However, High-Quality Data Creation and Data collaboration going to remain challenging.

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Forge Your Career Path with Best Data Engineering Certifications

ProjectPro

Vendor-Specific Data Engineering Certifications The vendor-specific data engineer certifications help you enhance your knowledge and skills relevant to specific vendors, such as Azure, Google Cloud Platform, AWS, and other cloud service vendors. The rest of the exam details are the same as the DP-900 exam.

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

AltexSoft

Sentiment analysis results by Google Cloud Natural Language API. Plus, you likely won’t be able to use too much data. Assessing text data quality. There are different views on what’s considered high quality data in different areas of application. Spam detection.

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Keeping these revenue generators online and accurate is a common data observability use case. Move Your Generative AI Strategy From Pitch Deck To Reality If generative AI is a gold rush, high quality data is the pickaxe. For these scenarios, it can make sense to adapt the underlying infrastructure.

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