KDnuggets

JULY 11, 2025

Architecture Patterns : Simple RAG systems retrieve relevant documents and include them in prompts for context. Vector Databases and Embedding Strategies : RAG systems rely on semantic search to find relevant information, requiring documents converted into vector embeddings that capture meaning rather than keywords.

AI 328

AI AI Machine Learning Machine Learning 328

Flipboard

NOVEMBER 27, 2024

Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics. In this post, we explore how to use Aurora MySQL-Compatible Edition Zero-ETL integration with Amazon Redshift and dbt Cloud to enable near real-time analytics.

ETL 137

ETL Data Warehouse Analytics Analytics 137

databricks

JUNE 11, 2025

With building conversational agents over documents, for example, we measured quality average across several Q&A benchmarks. Figure 1 Figure 2 For document understanding, Agent Bricks builds higher quality and lower cost systems, compared to prompt optimized proprietary LLMs (Figure 2).

Analytics 330

Analytics Analytics Data Science AI 330

databricks

JULY 15, 2025

Powered by Data Intelligence, Genie learns from organizational usage patterns and metadata to generate SQL, charts, and summaries grounded in trusted data. Lakebridge accelerates the migration of legacy data warehouse workloads to Azure Databricks SQL.

Azure 238

Azure Power BI ETL AI 238

KDnuggets

JUNE 12, 2025

It will be used to extract the text from PDF files LangChain: A framework to build context-aware applications with language models (we’ll use it to process and chain document tasks). Tools Required(requirements.txt) The necessary libraries required are: PyPDF : A pure Python library to read and write PDF files.

Data Science 251

Data Science Natural Language Processing Python Machine Learning 251

KDnuggets

JULY 4, 2025

Pro New ChatGPT and Whisper APIs from OpenAI Our Top 5 Free Course Recommendations --> Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Machine Learning 302

Machine Learning Machine Learning Natural Language Processing Data Science 302

databricks

JULY 21, 2025

Replace procedural logic and UDFs by expressing loops with standard SQL syntax. Replace procedural logic and UDFs by expressing loops with standard SQL syntax. This brings a native way to express loops and traversals in SQL, useful for working with hierarchical and graph-structured data.

SQL 144

SQL Data Warehouse Data Science Artificial Intelligence 144

databricks

JULY 7, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Data Science 248

Data Science Artificial Intelligence Artificial Intelligence Business Intelligence 248

databricks

JULY 24, 2025

Users will enjoy a task palette that now offers shortcuts and a search button to help them more easily find and access their tasks , whether it's a Lakeflow Pipeline, an AI/BI dashboard, a notebook, SQL, or more. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Data Pipeline 210

Data Pipeline Data Engineering Data Engineering Data Engineering 210

databricks

JULY 24, 2025

Classic compute (workflows, Declarative Pipelines, SQL Warehouse, etc.) In general, you can add tags to two kinds of resources: Compute Resources: Includes SQL Warehouse, jobs, instance pools, etc. SQL Warehouse Compute: You can set the tags for a SQL Warehouse in the Advanced Options section.

Clustering 223

Clustering SQL Azure AWS 223

KDnuggets

JUNE 17, 2025

Step 4: Leverage NotebookLM’s Tools Audio Overview This feature converts your document, slides, or PDFs into a dynamic, podcast-style conversation with two AI hosts that summarize and connect key points. Study Guides & Briefing Docs In the “Studio” panel, you can generate structured outputs such as study guides or briefing documents.

Natural Language Processing 280

Natural Language Processing Data Science Machine Learning Machine Learning 280

databricks

JULY 23, 2025

As part of Lakeflow Connect, Zerobus is also unified with the Databricks Platform, so you can leverage broader analytics and AI capabilities right away. Zerobus is currently in Private Preview; reach out to your account team for early access.

Database 218

Database Data Warehouse Data Engineering Data Engineering 218

KDnuggets

JUNE 23, 2025

Document and Test : Keep thorough documentation and perform unit tests on ML workflows. Version Control : Maintain version control for code, data, and models. Standardize Workflows : Use MLFlow Projects to ensure reproducibility. Monitor Models : Continuously track performance metrics for production models.

Machine Learning 229

Machine Learning Machine Learning Natural Language Processing Data Science 229

KDnuggets

JUNE 18, 2025

Follow the installation process outlined in the documentation, and you will see a new tab in your Jupyter Notebook labeled Nbextensions. Most of the extensions are simple ones with a single improvement over our work, but these extensions still bring additional value that you should use if you are working with Jupyter Notebook.

Data Scientist 252

Data Scientist Natural Language Processing Data Science Machine Learning 252

Flipboard

JULY 16, 2025

Document Everything : Keep clear and versioned documentation of how each feature is created, transformed, and validated. Use Automation : Use tools like feature stores, pipelines, and automated feature selection to maintain consistency and reduce manual errors.

Machine Learning 154

Machine Learning Machine Learning Natural Language Processing Data Science 154

Data Science Dojo

JULY 24, 2025

Instead of sweating the syntax, you describe the “ vibe ” of what you want—be it a data pipeline, a web app, or an analytics automation script—and frameworks like Replit, GitHub Copilot, Gemini Code Assist, and others do the heavy lifting. Copilot excels at code generation for software development, data engineering, and analytics automation.

Data Engineering 221

Data Engineering Data Engineering Data Engineering Data Engineer 221

KDnuggets

JULY 24, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 10 Free Online Courses to Master Python in 2025 How can you master Python for free?

Python 242

Python Data Science Natural Language Processing Machine Learning 242

databricks

JUNE 12, 2025

AI-powered search and recommendations help users find relevant dashboards, analytics and apps faster. and “How can we accelerate growth in the Midwest?” Users can also access and interact with all AI/BI Dashboards they have permission to view.

Data Engineering 253

Data Engineering Data Engineering Data Engineering Data Engineer 253

KDnuggets

JUNE 19, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding? You’ll use Python, end of story.

Python 286

Python Natural Language Processing Data Science Machine Learning 286

KDnuggets

JUNE 25, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 10 FREE AI Tools That’ll Save You 10+ Hours a Week No tech skills needed.

Natural Language Processing 226

Natural Language Processing Data Science AI AI 226

AWS Machine Learning Blog

JULY 11, 2025

In Part 1 of this series, we explored how Amazon’s Worldwide Returns & ReCommerce (WWRR) organization built the Returns & ReCommerce Data Assist (RRDA)—a generative AI solution that transforms natural language questions into validated SQL queries using Amazon Bedrock Agents.

Business Intelligence 108

Business Intelligence Business Intelligence SQL AWS 108

databricks

JULY 18, 2025

From handwritten notes to typed PDFs, the diversity of incoming fax documents creates a wide range of inputs to process, classify and extract information from. The central logging also supports deeper evaluation of model behavior across document types and referral scenarios.

Azure 218

Azure Data Science Artificial Intelligence Artificial Intelligence 218

Flipboard

JULY 9, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Ways to Transition Into AI from a Non-Tech Background You have a non-tech background?

Machine Learning 151

Machine Learning Machine Learning Natural Language Processing Data Science 151

AWS Machine Learning Blog

JULY 9, 2025

With the new generative AI-powered text-to-SQL capability in Parcel Perform, the business team can self-serve their data needs by using an AI assistant interface. Data analytics architecture The solution starts with data ingestion, storage, and access. Parcel Perform uses Anthropic’s Claude models in Amazon Bedrock to generate SQL.

SQL 73

SQL AWS Database Apache Kafka 73

Flipboard

JULY 15, 2025

We became increasingly concerned about the risks of sensitive data—such as proprietary system information, confidential customer details, and regulated documentation—being transmitted to and processed by external, third-party AI providers. These agents follow a combination of RAG and text-to-SQL approaches.

AWS 148

AWS AI AI SQL 148

databricks

JULY 11, 2025

Scalable Intelligence: The data lakehouse architecture supports scalable, real-time analytics, allowing industrials to monitor and improve key performance indicators, predict maintenance needs, and optimize production processes.

Business Intelligence 162

Business Intelligence Business Intelligence Artificial Intelligence Artificial Intelligence 162

AWS Machine Learning Blog

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. Create and load sample data In this post, we use two sample datasets: a total sales dataset CSV file and a sales target document in PDF format. Choose Next.

Database 111

Database AWS SQL ETL 111

AWS Machine Learning Blog

DECEMBER 4, 2024

Without specialized structured query language (SQL) knowledge or Retrieval Augmented Generation (RAG) expertise, these analysts struggle to combine insights effectively from both sources. SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI.

AWS 106

AWS AI AI SQL 106

databricks

JUNE 18, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

AI 172

AI AI Data Science Artificial Intelligence 172

databricks

JULY 22, 2025

You can now move streaming tables and materialized views from one pipeline to another using a single SQL command and a small code change to move the table definition. Now, you can migrate an existing pipeline to this model without needing to rebuild it from scratch, enabling more modular data architectures over time.

Data Engineering 202

Data Engineering Data Engineering Data Engineering Data Engineer 202

databricks

JUNE 11, 2025

They sit outside the analytics and AI stack, require manual integration, and lack the flexibility needed for modern development workflows. Lakehouse integration : Lakebases should make it easy to combine operational, analytical, and AI systems without complex ETL pipelines.

Database 212

Database Data Lakes ETL Analytics 212

Dataconomy

JUNE 18, 2025

By enabling organizations to efficiently store various data types and perform analytics, it addresses many challenges faced in traditional data ecosystems. This powerful model combines accessibility with advanced analytics capabilities, making it a game-changer for businesses seeking to leverage their data. What is a data lakehouse?

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

KDnuggets

JULY 21, 2025

The key is to start simple, iterate often, and don’t fear the documentation. Whether you’re visualizing climate data or plotting sales trends, the goal is clarity. Remember, even experts Google “how to add a second y-axis” sometimes.

Natural Language Processing 200

Natural Language Processing Data Science Machine Learning Machine Learning 200

KDnuggets

JUNE 24, 2025

Traditional methods of understanding code structures involve reading through numerous files and documentation, which can be time-consuming and error-prone. GitDiagram offers a solution by converting GitHub repositories into interactive diagrams, providing a visual representation of the codebases architecture.

Natural Language Processing 174

Natural Language Processing Data Science Machine Learning Machine Learning 174

KDnuggets

JUNE 17, 2025

Once the logs indicate that the server is running and ready, you can explore the automatically generated API documentation here. This interactive documentation provides details about all available endpoints and allows you to test them directly from your browser.

Natural Language Processing 172

Natural Language Processing Machine Learning Machine Learning Data Science 172

Hacker News

APRIL 7, 2025

Knowledge-intensive analytical applications retrieve context from both structured tabular data and unstructured, text-free documents for effective decision-making. FlockMTL streamlines the development of knowledge-intensive analytical applications, and its optimizations ease the implementation burden.

Data Pipeline 93

Data Pipeline SQL Analytics Analytics 93

Dataconomy

JUNE 18, 2025

Data integration involves the systematic combination of data from multiple sources to create cohesive sets for operational and analytical purposes. Feeding data for analytics Integrated data is essential for populating data warehouses, data lakes, and lakehouses, ensuring that analysts have access to complete datasets for their work.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91