Tableau

APRIL 18, 2022

A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.

Tableau 102

Tableau Data Quality Analytics Analytics 102

Tableau

APRIL 18, 2022

A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Data modeling. Data preparation.

Tableau 98

Tableau Data Quality Analytics Analytics 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

Apache HBase was employed to offer real-time key-based access to data. Model training and scoring was performed either from Jupyter notebooks or through jobs scheduled by Apaches Oozie orchestration tool, which was part of the Hadoop implementation. HBase is employed to offer real-time key-based access to data.

Data Science 85

Data Science AWS Hadoop Data Scientist 85

Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. The steps of the workflow are as follows: Integrated AI services extract data from the unstructured data.

AWS 165

AWS ML ML Analytics 165

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

ODSC - Open Data Science

MARCH 23, 2023

Real-time Analytics & Built-in Machine Learning Models with a Single Database Akmal Chaudhri, Senior Technical Evangelist at SingleStore, explores the importance of delivering real-time experiences in today’s big data industry and how data models and algorithms rely on powerful and versatile data infrastructure.

Data Science 52

Data Science Data Lakes Machine Learning Machine Learning 52

IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Businesses must feel confident in the predictions and content that large foundation model providers generate.

AI 88

AI AI Data Warehouse ML 88

AWS Machine Learning Blog

MAY 31, 2024

This means that individuals can ask companies to erase their personal data from their systems and from the systems of any third parties with whom the data was shared. Krishna Prasad is a Senior Solutions Architect in Strategic Accounts Solutions Architecture team at AWS.

AWS 132

AWS Machine Learning Machine Learning Database 132

ODSC - Open Data Science

OCTOBER 15, 2023

AI is quickly scaling through dozens of industries as companies, non-profits, and governments are discovering the power of artificial intelligence. Cloudera Cloudera is a cloud-based platform that provides businesses with the tools they need to manage and analyze data. So, what are you waiting for?

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 52

ODSC - Open Data Science

NOVEMBER 19, 2024

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

DagsHub

NOVEMBER 11, 2024

Social media conversations, comments, customer reviews, and image data are unstructured in nature and hold valuable insights, many of which are still being uncovered through advanced techniques like Natural Language Processing (NLP) and machine learning. Many find themselves swamped by the volume and complexity of unstructured data.

AI 52

AI AI Data Lakes Database 52

ODSC - Open Data Science

NOVEMBER 18, 2024

Dimensional Data Modeling in the Modern Era Dustin Dorsey |Principal Data Architect |Onix With the emergence of big data, cloud computing, and AI-driven analytics, many wonder if the traditional principles of dimensional modeling still hold value. This session provides a gentle introduction to vector databases.

Deep Learning 40

Deep Learning Deep Learning Database Data Science 40

Pickl AI

JUNE 11, 2024

Self-Service Analytics User-friendly interfaces and self-service analytics tools empower business users to explore data independently without relying on IT departments. This might involve data validation rules, data cleansing procedures, and ongoing monitoring to maintain data integrity.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

ODSC - Open Data Science

OCTOBER 9, 2024

What should you be looking for?

Apache Kafka 40

Apache Kafka AI AI Machine Learning 40

Hacker News

JULY 1, 2025

You’ll own and work with everything from distributed queues and data lakes to prompt evaluation and agentic orchestration. Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control.

Python 71

Python AWS ML ML 71

Smart Data Collective

OCTOBER 16, 2022

The advantages can be summed up as follows: Forced normalization and enrichment – In Open XDR, the system ensures that all data are similar or compatible with each other (normalized) before they are stored in a data lake. If the data is incomplete, additional information is sourced and appended (enrichment).

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence Data Lakes Big Data 143