Towards AI

OCTOBER 31, 2024

Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. According to Gartner’s Hype Cycle, GenAI is at the peak, showcasing its potential to transform analytics.¹

Data Quality 122

Data Quality Analytics Analytics Clean Data 122

KDnuggets

JULY 22, 2025

The BigQuery Sandbox removes that barrier, letting you query up to 1 terabyte of data per month. It’s a great, no-cost way to start learning and experimenting with large-scale analytics. As a data scientist, you can access your BigQuery Sandbox from a Colab notebook. No credit card required.

Data Science 241

Data Science Natural Language Processing Machine Learning Machine Learning 241

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

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 16, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: 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.

Python 282

Python Natural Language Processing Data Science Machine Learning 282

KDnuggets

JUNE 26, 2025

This transforms your workflow into a distribution system where quality reports are automatically sent to project managers, data engineers, or clients whenever you analyze a new dataset. 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

databricks

JULY 23, 2025

As your managed pipelines run, we take care of schema evolution, seamless third-party API upgrades, and comprehensive observability with built-in alerts. As part of Lakeflow Connect, Zerobus is also unified with the Databricks Platform, so you can leverage broader analytics and AI capabilities right away.

Database 218

Database Data Warehouse Data Engineering Data Engineering 218

KDnuggets

JULY 17, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: 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 298

Natural Language Processing Data Science Python Machine Learning 298

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 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 22, 2025

API, Database, Campaign, Analytics, Frontend, Testing, Outreach, CRM] # Conclusion These Python one-liners show how useful Python is for JSON data manipulation. This one-liner extracts and combines elements from nested lists, creating a single flat structure thats easier to work with in subsequent operations.

Python 187

Python Natural Language Processing Data Science Machine Learning 187

databricks

JULY 22, 2025

This contribution extends Spark’s declarative model from individual queries to full pipelines, letting developers define what their pipelines should do while Spark handles how to do it. Finally, we announced Lakeflow Designer , a no-code experience for building data pipelines. Preview coming soon.

Data Engineering 202

Data Engineering Data Engineering Data Engineering Data Engineer 202

KDnuggets

JULY 23, 2025

A more advanced cost-tracking implementation will also allow users to set a spending budget and limit , while also connecting the LiteLLM cost usage information to an analytics dashboard to more easily aggregate information. Users can also define custom pricing for models (per token or per second) to calculate costs accurately.

Natural Language Processing 193

Natural Language Processing Data Science Python Machine Learning 193

Flipboard

JULY 16, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: 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 155

Machine Learning Machine Learning Natural Language Processing Data Science 155

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

Dataconomy

JUNE 19, 2025

Distinction between data architect and data engineer While there is some overlap between the roles, a data architect typically focuses on setting high-level data policies. In contrast, data engineers are responsible for implementing these policies through practical database designs and data pipelines.

Data Engineering 91

Data Engineering Data Engineering Data Engineering Data Engineer 91

Flipboard

JULY 25, 2025

By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on July 25, 2025 in Data Engineering Image by Editor | ChatGPT # Introduction Machine learning has become an integral part of many companies, and businesses that dont utilize it risk being left behind.

Machine Learning 125

Machine Learning Machine Learning Natural Language Processing Data Science 125

Dataconomy

JUNE 23, 2025

By integrating Agile methodologies into data practices, DataOps enhances collaboration among cross-functional teams, leading to improved data quality and speed in delivering insights. DataOps is an Agile methodology that focuses on enhancing the efficiency and effectiveness of the data lifecycle through collaborative practices.

DataOps 91

DataOps Data Pipeline Data Quality Data Science 91

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 155

Data Science Python Natural Language Processing Machine Learning 155

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

AWS Machine Learning Blog

JULY 11, 2025

Although we maintain pre-built Amazon QuickSight dashboards for commonly tracked metrics, business users frequently require support for long-tail analytics—the ability to conduct deep dives into specific problems, anomalies, or regional variations not covered by standard reports.

Business Intelligence 108

Business Intelligence Business Intelligence SQL AWS 108

ODSC - Open Data Science

JULY 4, 2025

Data Visualization & Analytics Explore creative and technical approaches to visualizing complex datasets, designing dashboards, and communicating insights effectively. Ideal for anyone focused on translating data into impactful visuals and stories. Expect deep-dive sessions and practical case studies.

Deep Learning 52

Deep Learning Deep Learning ML ML 52

AWS Machine Learning Blog

OCTOBER 24, 2024

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

Data Warehouse 113

Data Warehouse Machine Learning Machine Learning Cloud Data 113

AWS Machine Learning Blog

JULY 11, 2025

Simple business questions can become multi-day ordeals, with analytics teams drowning in routine requests instead of focusing on strategic initiatives. Nicolas Alvarez is a Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team, focusing on building and optimizing recommerce data systems.

SQL 74

SQL AWS Database Business Intelligence 74

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

AWS 85

AWS Data Governance Data Silos SQL 85

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

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.

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ETL Data Pipeline Database Data Warehouse 100

AWS Machine Learning Blog

FEBRUARY 21, 2025

Previously, he was a Data & Machine Learning Engineer at AWS, where he worked closely with customers to develop enterprise-scale data infrastructure, including data lakes, analytics dashboards, and ETL pipelines. He specializes in designing, building, and optimizing large-scale data solutions.

AWS 124

AWS Natural Language Processing Machine Learning Machine Learning 124

phData

OCTOBER 28, 2024

Modern low-code/no-code ETL tools allow data engineers and analysts to build pipelines seamlessly using a drag-and-drop and configure approach with minimal coding. Matillion ETL for Snowflake is an ELT/ETL tool that allows for the ingestion, transformation, and building of analytics for data in the Snowflake AI Data Cloud.

Python 52

Python ETL AWS Database 52

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. Declarative pipelines hide the complexity of modern data engineering under a simple, intuitive programming model.

SQL 221

SQL Data Engineering Data Engineering Data Engineering 221

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Flipboard

JUNE 16, 2025

Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles. Next Steps: Transition into data engineering (PySpark, ETL) or machine learning (TensorFlow, PyTorch). MySQL, PostgreSQL) and non-relational (e.g.,

Python 56

Python AWS Machine Learning Machine Learning 56

phData

FEBRUARY 21, 2025

A data warehouse acts as a single source of truth for an organization’s data, providing a unified view of its operations and enabling data-driven decision-making. A data warehouse enables advanced analytics, reporting, and business intelligence. Today, the cloud has revolutionized the potential for data.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

Flipboard

JULY 3, 2025

Encora, a digital product and software engineering provider, believes AI and machine learning are significantly reshaping traditional credit risk models, especially as consumer behaviours shift following COVID-19.

AI 73

AI AI Database Machine Learning 73

Hacker News

JULY 1, 2025

Prior to that, I spent a couple years at First Orion - a smaller data company - helping found & build out a data engineering team as one of the first engineers. We were focused on building data pipelines and models to protect our users from malicious phonecalls. Email: djmcgrath.c@gmail.com

Python 69

Python AWS SQL ML 69

ODSC - Open Data Science

MARCH 12, 2025

Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements. 20222024: As AI models required larger and cleaner datasets, interest in data pipelines, ETL frameworks, and real-time data processing surged.

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52

Pickl AI

MARCH 13, 2025

Kafka excels in real-time data streaming and scalability. Choose Kafka for big data, analytics, and event-driven applications. IoT applications : Managing large volumes of sensor data from smart devices. Big data pipelines : Moving data between systems for analytics and AI applications.

Apache Kafka 52

Apache Kafka Big Data Big Data Data Pipeline 52