KDnuggets
SEPTEMBER 27, 2024
Large language models (LLMs) have transformed, and continue to transform, the AI and machine learning landscape, offering powerful tools to improve workflows and boost productivity for a wide array of domains. I work with LLMs a lot, and have tried out all sorts of tools that help take advantage of the models and their potential.
Cloudera
SEPTEMBER 27, 2024
Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?
KDnuggets
SEPTEMBER 27, 2024
While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.
Confluent
SEPTEMBER 27, 2024
Announcing the ability to create and manage Confluent resources, incl. topics, clusters, environments, and connectors—directly in the Azure portal itself (preview).
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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.
KDnuggets
SEPTEMBER 27, 2024
Introduction Retrieval-augmented generation (RAG) models, more commonly known as RAG systems, are gaining significant attention in the AI industry. The concept behind the models is simple: instead of training a model on massive amounts of data, we allow the model to retrieve information from a separate dataset as they need it. How could.
Striim
SEPTEMBER 27, 2024
Can AI really make your data analysis as easy as talking to a friend? Join us for an enlightening conversation with Ethan Ding, the co-founder and CEO of TextQL, as he shares his journey from Berkeley graduate to pioneering the text-to-SQL technology that’s transforming how businesses interact with their data. Discover how natural language queries are breaking down barriers, making data analysis accessible to everyone, regardless of technical skill.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
phData: Data Engineering
SEPTEMBER 27, 2024
Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? Yeah, that one. Well, here’s the kicker: we’ve been doing it wrong. Or at least, not entirely right. For years, we’ve been obsessed with creating these grand, top-down customer data models.
RandomTrees
SEPTEMBER 27, 2024
What is Microsoft Fabric? A cloud-based software as a service (SaaS) called Microsoft Fabric combines several data and analytics technologies that businesses require. Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.
Hevo
SEPTEMBER 27, 2024
In the data engineering industry, managing your data is critical for driving business. Data is gathered from various sources in all shapes and forms, and without the right set of tools, it is impossible to use this data for meaning analysis. If you work with a cloud environment, you must have heard of Microsoft Azure.
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