ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Well, these libraries will give you a solid start.

Data Lakes 52

Data Lakes ML ML Citizen Data Scientist 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 92

Tableau Data Lakes Data Warehouse SQL 92

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Dataconomy

SEPTEMBER 4, 2023

Leveraging third-party data : Incorporating external data sources, such as weather, social media trends, and market reports, enriches your analysis, providing a more comprehensive understanding of customer behavior and market dynamics. AI and augmented analytics assist users in navigating complex data sets, offering valuable insights.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Tableau

APRIL 18, 2022

Gain useful insights from data stored across different platforms and data sources, such as data warehouses, data lakes, and CRMs. Increase understanding of data sets on hand for data integration or data analysis. Augmented analytics. Virtualization and discovery. Orchestration.

Tableau 99

Tableau Data Quality Analytics Analytics 99

Tableau

APRIL 18, 2022

Gain useful insights from data stored across different platforms and data sources, such as data warehouses, data lakes, and CRMs. Increase understanding of data sets on hand for data integration or data analysis. Augmented analytics. Virtualization and discovery. Orchestration.

Tableau 97

Tableau Data Quality Analytics Analytics 97