Confessions of a Data Guy
OCTOBER 31, 2024
I am a glutton for punishment, a harbinger of tidings, a storm crow, a prophet of the data land, my sole purpose is to plumb the depths of the tools we use every day in Data Engineering. I find the good, the bad, the ugly, and splay them out before you, string ’em up and […] The post Testing DuckDB’s Large Than Memory Processing Capabilities. appeared first on Confessions of a Data Guy.
KDnuggets
OCTOBER 31, 2024
Fine-tuning the T5 model for question answering tasks is simple with Hugging Face Transformers: provide the model with questions and context, and it will learn to generate the correct answers.
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Snowflake
OCTOBER 31, 2024
Snowflake is excited to announce a significant expansion of our AI Data Cloud infrastructure with support for Microsoft Azure Mexico by the end of Snowflake’s fiscal year, and support for Microsoft Azure in Seoul in the first half of 2025. These deployments underscore Snowflake’s continued commitment to providing our customers with a unified and secure experience, regardless of where their data resides.
KDnuggets
OCTOBER 31, 2024
This article presents a comprehensive discussion of when to choose which approach for your LLM and potential hybrid solutions.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Precisely
OCTOBER 31, 2024
Key Takeaways: Data mesh is a decentralized approach to data management, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments. Both approaches empower your organization to be more agile, data-driven, and responsive so you can make informed decisions in real time.
Confluent
OCTOBER 31, 2024
Deploying Confluent Platform in conjunction with Confluent's OEM Program can help CSPs and MSPs develop high-margins, while maintaining operational excellence and lowering risk.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Monte Carlo
OCTOBER 31, 2024
Remember the Healthcare.gov launch fiasco? Millions of Americans tried to sign up for health insurance—and couldn’t. The site crashed under heavy demand and even when people did manage to enroll, the system sometimes created multiple insurance plans for the same person. Behind this chaos was an often-overlooked but critical aspect of data management: data uniqueness.
Striim
OCTOBER 31, 2024
A nonprofit educational healthcare organization is faced with the challenge of modernizing its critical systems while ensuring uninterrupted access to essential services. With Striim’s real-time data integration solution, the institution successfully transitioned to a cloud infrastructure, maintaining seamless operations and paving the way for future advancements.
Monte Carlo
OCTOBER 31, 2024
The rise of AI and GenAI has brought about the rise of new questions in the data ecosystem – and new roles. One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? What are they responsible for?
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