Flipboard

JUNE 17, 2025

Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. The query can include multiple joins and aggregation.

AWS 146

AWS SQL Database Natural Language Processing 146

Flipboard

DECEMBER 6, 2023

In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.

SQL 166

SQL Database AWS Machine Learning 166

Tableau

MARCH 9, 2021

They also adapted to all-digital engagement by hosting webinars, digital meetups, and Tableau Days to bring the power of Tableau to potential customers in new ways, passing >400 leads to Tableau which created a multi-million dollar pipeline.

Tableau 98

Tableau AWS Data Warehouse SQL 98

IBM Journey to AI blog

NOVEMBER 3, 2023

When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most. As a result, you reduce the skills barrier and increase your speed of data processing by preventing important information from getting stuck in a data warehouse.

Apache Kafka 79

Apache Kafka Data Warehouse Data Pipeline Big Data 79

Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Tableau

MARCH 9, 2021

They also adapted to all-digital engagement by hosting webinars, digital meetups, and Tableau Days to bring the power of Tableau to potential customers in new ways, passing >400 leads to Tableau which created a multi-million dollar pipeline.

Tableau 52

Tableau AWS Data Warehouse SQL 52