AWS Machine Learning Blog

JULY 11, 2025

For most organizations, this gap remains stubbornly wide, with business teams trapped in endless cycles—decoding metric definitions and hunting for the correct data sources to manually craft each SQL query. Amazon’s Worldwide Returns & ReCommerce (WWRR) organization faced this challenge at scale.

SQL 74

SQL AWS Database Business Intelligence 74

KDnuggets

JULY 17, 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 Surprising Things You Can Do with Python’s collections Module This tutorial explores ten practical (..)

Natural Language Processing 298

Natural Language Processing Data Science Python Machine Learning 298

KDnuggets

JUNE 24, 2025

🔗 Link to the code on GitHub Why Data Cleaning Pipelines? Think of data pipelines like assembly lines in manufacturing. Wrapping Up Data pipelines arent just about cleaning individual datasets. Each step performs a specific function, and the output from one step becomes the input for the next.

Python 257

Python Natural Language Processing Data Science Machine Learning 257

KDnuggets

JULY 22, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Next post => Latest Posts 8 Ways to Scale your Data Science Workloads Vibe Coding Something Useful with Repl.it

Python 187

Python Natural Language Processing Data Science Machine Learning 187

KDnuggets

JULY 21, 2025

Generative AI: A Self-Study Roadmap 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.

Natural Language Processing 199

Natural Language Processing Data Science Machine Learning Machine Learning 199

KDnuggets

JULY 24, 2025

Top Posts 7 Python Web Development Frameworks for Data Scientists Build Your Own Simple Data Pipeline with Python and Docker 10 GitHub Repositories for Machine Learning Projects 10 Python One-Liners for JSON Parsing and Processing What Does Python’s __slots__ Actually Do?

Python 215

Python Natural Language Processing Data Science Machine Learning 215

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 252

Python Data Science Natural Language Processing Machine Learning 252

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?

Python 284

Python Natural Language Processing Data Science Machine Learning 284

Flipboard

JULY 16, 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 The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs This article explains how (..)

Machine Learning 153

Machine Learning Machine Learning Natural Language Processing Data Science 153

Flipboard

JULY 18, 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 What Does Python’s __slots__ Actually Do?

Data Science 153

Data Science Natural Language Processing Python Machine Learning 153

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

AWS Machine Learning Blog

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Use Amazon Athena SQL queries to provide insights.

AWS 106

AWS AI AI SQL 106

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. Learn more at Gemini Code Assist. Yes, with proper validation, testing, and reviews.

Data Engineer 222

Data Engineer Data Engineering Data Engineering Data Engineering 222

Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Choose Delete stack.

ETL 136

ETL Data Warehouse Analytics Analytics 136

KDnuggets

JULY 23, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Latest Posts Benefits of Using LiteLLM for Your LLM Apps 5 Fun Generative AI Projects for Absolute Beginners 8 Ways to Scale your Data Science Workloads Vibe Coding Something Useful with Repl.it

Natural Language Processing 193

Natural Language Processing Data Science Python Machine Learning 193

KDnuggets

JUNE 26, 2025

Scheduled Analysis Replace the Manual Trigger with a Schedule Trigger to automatically analyze datasets at regular intervals, perfect for monitoring data sources that update frequently. This proactive approach helps you identify data pipeline issues before they impact downstream analysis or model performance.

Data Quality 268

Data Quality Data Science Natural Language Processing Machine Learning 268

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. Large language models (LLMs) have made it significantly easier to prototype such retrieval and reasoning data pipelines.

Data Pipeline 91

Data Pipeline SQL Analytics Analytics 91

databricks

JULY 23, 2025

Databricks recently announced Lakeflow Connect in Jobs, which enables you to create ingestion pipelines within Lakeflow Jobs. We have also continued innovating for customers who want more customization options and use our existing ingestion solution, Auto Loader.

Database 218

Database Data Warehouse Data Engineer Data Engineering 218

databricks

JULY 22, 2025

We also introduced Lakeflow Declarative Pipelines’ new IDE for data engineering (shown above), built from the ground up to streamline pipeline development with features like code-DAG pairing, contextual previews, and AI-assisted authoring. Preview coming soon.

Data Engineer 202

Data Engineer Data Engineering Data Engineering Data Engineering 202

Dataconomy

JUNE 18, 2025

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 integration tools and techniques The landscape of data integration is constantly evolving, driven by technological advancements.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91

Flipboard

JULY 23, 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 Fun Generative AI Projects for Absolute Beginners New to generative AI?

Natural Language Processing 156

Natural Language Processing Data Science Python Machine Learning 156

Flipboard

JULY 25, 2025

A Complete Guide to Matplotlib: From Basics to Advanced Plots The Basics of Debugging Python Problems 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 123

Machine Learning Machine Learning Natural Language Processing Data Science 123

Dataconomy

JUNE 12, 2025

Responsibilities of a data engineer The responsibilities of a data engineer can be extensive. They are primarily tasked with the creation and maintenance of robust data pipelines that ensure seamless data flow from source to destination.

Data Engineer 91

Data Engineer Data Engineering Data Engineering Data Engineering 91

AWS Machine Learning Blog

OCTOBER 24, 2024

A provisioned or serverless Amazon Redshift data warehouse. Basic knowledge of a SQL query editor. Implementation steps Load data to the Amazon Redshift cluster Connect to your Amazon Redshift cluster using Query Editor v2. For this post we’ll use a provisioned Amazon Redshift cluster. A SageMaker domain.

Data Warehouse 113

Data Warehouse Machine Learning Machine Learning Cloud Data 113

phData

NOVEMBER 4, 2024

With all this packaged into a well-governed platform, Snowflake continues to set the standard for data warehousing and beyond. Snowflake supports data sharing and collaboration across organizations without the need for complex data pipelines.

Machine Learning 69

Machine Learning Machine Learning Data Science Data Preparation 69

AWS Machine Learning Blog

JANUARY 15, 2025

Based on the customer query and context, the system dynamically generates text-to-SQL queries, summarizes knowledge base results using semantic search , and creates personalized vehicle brochures based on the customers preferences. This seamless process is facilitated by Retrieval Augmentation Generation (RAG) and a text-to-SQL framework.

AWS 104

AWS SQL AI AI 104

AWS Machine Learning Blog

JULY 3, 2025

This following diagram illustrates the enhanced data extract, transform, and load (ETL) pipeline interaction with Amazon Bedrock. To achieve the desired accuracy in KPI calculations, the data pipeline was refined to achieve consistent and precise performance, which leads to meaningful insights.

AWS 67

AWS AI AI SQL 67

AWS Machine Learning Blog

OCTOBER 24, 2024

The agent can generate SQL queries using natural language questions using a database schema DDL (data definition language for SQL) and execute them against a database instance for the database tier. Make sure to add a semicolon after the end of the SQL statement generated. Create, invoke, test, and deploy the agent.

AWS 97

AWS SQL Database AI 97

AWS Machine Learning Blog

APRIL 3, 2025

This tool democratizes data access across the organization, enabling even nontechnical users to gain valuable insights. A standout application is the SQL-to-natural language capability, which translates complex SQL queries into plain English and vice versa, bridging the gap between technical and business teams.

AWS 85

AWS Data Governance Data Silos SQL 85

phData

JUNE 30, 2025

What we like most about Openflow is that it simplifies data ingestion from multiple sources and accelerates Snowflake customers’ success by eliminating the need for third-party ingestion tools, enabling quick prototyping, and supporting reusable data pipelines. Multiple tables can be loaded iteratively in parallel.

Database 52

Database ETL AWS Data Pipeline 52

phData

APRIL 28, 2025

Intuitive Workflow Design Workflows should be easy to follow and visually organized, much like clean, well-structured SQL or Python code. WHERE d.name = 'Sales'; Matillion is designed as a no/low-code ELT tool, so lets leave the SQL deep dive for another time and focus on making workflows as clean and intuitive as possible!

AI 52

AI AI SQL ETL 52

Pickl AI

APRIL 21, 2025

Key Skills for Data Science: A data scientist typically needs a blend of skills: Mathematics and Statistics: To understand the theoretical underpinnings of models. Programming: Often in languages like Python or R, using libraries for data manipulation, analysis, and machine learning.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

phData

OCTOBER 28, 2024

However, if the tool supposes an option where we can write our custom programming code to implement features that cannot be achieved using the drag-and-drop components, it broadens the horizon of what we can do with our data pipelines. JV_STAGING_TBL} Here is what the outline of the pipeline looks like. Contact phData Today!

Python 52

Python ETL AWS Database 52

IBM Data Science in Practice

JANUARY 13, 2025

The blog post explains how the Internal Cloud Analytics team leveraged cloud resources like Code-Engine to improve, refine, and scale the data pipelines. Background One of the Analytics teams tasks is to load data from multiple sources and unify it into a data warehouse. Thus, it has only a minimal footprint.

ETL 100

ETL Data Pipeline Database Data Warehouse 100

databricks

JUNE 12, 2025

This standard simplifies pipeline development across batch and streaming workloads. Years of real-world experience have shaped this flexible, Spark-native approach for both batch and streaming pipelines. that evolution continues with major advances in streaming, Python, SQL, and semi-structured data.

SQL 221

SQL Data Engineer Data Engineering Data Engineering 221

Flipboard

MARCH 21, 2025

To establish trust between the data producers and data consumers, SageMaker Catalog also integrates the data quality metrics and data lineage events to track and drive transparency in data pipelines. Create a SageMaker Unified Studio domain and three projects using the SQL analytics project profile.

SQL 139

SQL Data Analyst Data Warehouse AWS 139

Flipboard

JUNE 16, 2025

SQL and MongoDB SQL remains critical for structured data management, while MongoDB caters to NoSQL database needs, which is essential for modern and flexible data applications. Next Steps: Transition into data engineering (PySpark, ETL) or machine learning (TensorFlow, PyTorch). Most Sought-After Skills 1.

Python 56

Python AWS Machine Learning Machine Learning 56