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

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. In Part 1, we focus on building a Text-to-SQL solution with Amazon Bedrock , a managed service for building generative AI applications.

SQL 74

SQL AWS Database Business Intelligence 74

Flipboard

JULY 9, 2025

Through natural language processing, Amazon Bedrock Knowledge Bases transforms natural language queries into SQL queries, so users can retrieve data directly from supported sources without understanding database structure or SQL syntax. We use a bastion host to connect securely to the database from the public subnet.

ETL 114

ETL Database AWS SQL 114

databricks

JUNE 11, 2025

AI Functions in SQL: Now Faster and Multi-Modal AI Functions enable users to easily access the power of generative AI directly from within SQL. Figure 3: Document intelligence arrives at Databricks with the introduction of ai_parse in SQL.

AI 251

AI AI SQL Data Science 251

databricks

JULY 14, 2025

You can also run scalable batch inference by sending a SQL query to your table. Additionally, the newly released MLflow 3 allows you to evaluate the model more comprehensively across your specific datasets.

Data Science 201

Data Science Artificial Intelligence Artificial Intelligence Business Intelligence 201

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

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. and Databricks Runtime 17.0

SQL 144

SQL Data Warehouse Data Science Artificial Intelligence 144

Data Science Dojo

OCTOBER 31, 2024

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes. Familiarity with machine learning, algorithms, and statistical modeling.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

JULY 24, 2025

Seamless Integration with Data Engineering and Analytics Automation Vibe coding is especially powerful for data engineering tasks—think ETL pipelines, data validation, and analytics automation—where describing workflows in natural language can save hours of manual coding. Explore IBM watsonx Code Assistant at IBM.

Data Engineer 222

Data Engineer Data Engineering Data Engineering Data Engineering 222

databricks

JULY 23, 2025

So, if you have jobs as the center of your ETL process, this seamless integration provides a more intuitive and unified experience for managing ingestion. 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

KDnuggets

JUNE 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 Run the Full DeepSeek-R1-0528 Model Locally Running the quantized version DeepSeek-R1-0528 Model locally (..)

Natural Language Processing 304

Natural Language Processing Data Science Machine Learning Machine Learning 304

databricks

JULY 7, 2025

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your (..)

Data Science 248

Data Science Artificial Intelligence Artificial Intelligence Business Intelligence 248

databricks

JULY 22, 2025

It makes ETL accessible to more users - without compromising on production readiness or governance - by generating real Lakeflow pipelines under the hood. These changes build on our ongoing commitment to make Lakeflow Declarative Pipelines the most efficient option for production ETL at scale. Preview coming soon.

Data Engineer 202

Data Engineer Data Engineering Data Engineering Data Engineering 202

Dataversity

OCTOBER 16, 2024

Structured query language (SQL) is one of the most popular programming languages, with nearly 52% of programmers using it in their work. SQL has outlasted many other programming languages due to its stability and reliability.

SQL 52

SQL AI AI ETL 52

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

Dataconomy

JUNE 18, 2025

Evolution of data warehouses Data warehouses emerged in the 1980s, designed as structured data repositories conducive to high-performance SQL queries and ACID transactions. SQL performance tuning: On-the-fly optimization of data formats for diverse queries.

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

databricks

JUNE 11, 2025

It eliminates fragile ETL pipelines and complex infrastructure, enabling teams to move faster and deliver intelligent applications on a unified data platform In this blog, we propose a new architecture for OLTP databases called a lakebase. Deeply integrated with the lakehouse, Lakebase simplifies operational data workflows.

Database 212

Database Data Lakes ETL Analytics 212

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

NOVEMBER 20, 2024

She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management. He has experience across analytics, big data, and ETL. In the Configure VPC and security group section, choose the VPC and subnets where your Aurora MySQL database is located, and choose the default VPC security group.

Database 111

Database AWS SQL ETL 111

IBM Data Science in Practice

JANUARY 13, 2025

By Santhosh Kumar Neerumalla , Niels Korschinsky & Christian Hoeboer Introduction This blogpost describes how to manage and orchestrate high volume Extract-Transform-Load (ETL) loads using a serverless process based on Code Engine. Thus, we use an Extract-Transform-Load (ETL) process to ingest the data.

ETL 100

ETL Data Pipeline Database Data Warehouse 100

Dataconomy

JUNE 3, 2025

ETL (Extract, Transform, Load): A traditional methodology primarily focused on batch processing. ELT (Extract, Load, Transform): A modern approach that reverses ETL steps for improved efficiency. SQL and scripting languages: Essential for automating data management tasks and ensuring operations are executed efficiently.

Data Pipeline 91

Data Pipeline ETL Analytics Analytics 91

Dataconomy

JUNE 16, 2025

Database query language Structured Query Language (SQL) is the primary method for managing structured data. Data management SQL databases and tools like Excel frequently utilize structured data for efficient business intelligence and data tracking. The organization facilitates smooth integration into analytical platforms.

Database 91

Database Data Lakes ETL Natural Language Processing 91

Dataconomy

JUNE 18, 2025

Extract, Transform, Load (ETL) The ETL process involves extracting data from various sources, transforming it into a suitable format, and loading it into data warehouses, typically utilizing batch processing. Types of data integration methods There are several methods used for data integration, each suited for different scenarios.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91

Pickl AI

DECEMBER 15, 2024

Familiarise yourself with ETL processes and their significance. ETL Process: Extract, Transform, Load processes that prepare data for analysis. Can You Explain the ETL Process? The ETL process involves three main steps: Extract: Data is collected from various sources. How Do You Ensure Data Quality in a Data Warehouse?

Data Warehouse 52

Data Warehouse ETL Database Data Quality 52

databricks

JUNE 11, 2025

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your (..)

Analytics 330

Analytics Analytics Data Science AI 330

databricks

JULY 18, 2025

We also rely on Databricks for batch ETL, metadata storage and downstream analysis. All extracted referral data must be integrated into Epic, which requires seamless data formatting, validation and secure delivery. Databricks plays a critical role in pre-processing and normalizing this information before handoff to our EHR system.

Azure 218

Azure Data Science Artificial Intelligence Artificial Intelligence 218

databricks

JUNE 12, 2025

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your (..)

Data Engineer 253

Data Engineer Data Engineering Data Engineering Data Engineering 253

databricks

JULY 11, 2025

Expanding Data Impact with Natural Language Business Intelligence To democratize analytics consumption, AI/BI also provides natural language capabilities that can empower domain experts to obtain insights without relying on technical teams equipped with traditional analysis skills, such as SQL.

Business Intelligence 162

Business Intelligence Business Intelligence Artificial Intelligence Artificial Intelligence 162

databricks

JUNE 18, 2025

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your (..)

AI 172

AI AI Data Science Artificial Intelligence 172

KDnuggets

JUNE 6, 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 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 225

Python Natural Language Processing Data Science Machine Learning 225

How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. How to Choose the Right Data Science Career Path?

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Flipboard

JULY 3, 2025

Data engineers can create and manage extract, transform, and load (ETL) pipelines directly within Unified Studio using Visual ETL. It also supports unified access across different compute runtimes such as Amazon Redshift and Athena for SQL, Amazon EMR Serverless , Amazon EMR on EC2, and AWS Glue for Spark.

ML 114

ML ML AWS Data Engineer 114

Dataconomy

JUNE 12, 2025

Technical skills Proficiency in programming languages: Familiarity with languages like C#, Java, Python, R, Ruby, Scala, and SQL is essential for building data solutions. Familiarity with ETL tools and data warehousing concepts: Knowledge of tools designed to extract, transform, and load data is crucial.

Data Engineer 91

Data Engineer Data Engineering Data Engineering Data Engineering 91

AWS Machine Learning Blog

JULY 3, 2025

This following diagram illustrates the enhanced data extract, transform, and load (ETL) pipeline interaction with Amazon Bedrock. Instead, by using Amazon Bedrock Agents, the agent translates natural language user prompts into SQL queries.

AWS 67

AWS AI AI SQL 67

databricks

JULY 15, 2025

Lakebase is a fully managed Postgres database, integrated into your Lakehouse, that will automatically sync your Delta tables without you having to write custom ETL, config IAM or Networking. Lakebase enables game developers to easily serve Lakehouse derived insight to their applications. Learn more here (updated once available).

Data Engineer 210

Data Engineer Data Engineering Data Engineering Data Engineering 210

Hacker News

JUNE 9, 2025

200k+ tokens) with many SQL snippets, query results and database metadata (e.g. Hubspot), run a bunch of SQL, show them results, etc. reply snyy 5 hours ago | parent | next [–] As mentioned in the other reply, we have a cloud/on-prem offering that comes with a managed ETL pipeline built on top of our OSS offering.

Database 86

Database SQL ETL AI 86

AWS Machine Learning Blog

JUNE 11, 2025

This post dives deep into the technology behind an agentic search solution using tooling with Retrieval Augmented Generation (RAG) and text-to-SQL capabilities to help customers reduce ESG reporting time by up to 75%. Text-to-SQL tool: Generates and executes SQL queries to the company’s emissions database hosted by Gardenia Technologies.

AWS 101

AWS SQL Database AI 101