Towards AI

APRIL 30, 2024

Last Updated on May 1, 2024 by Editorial Team Author(s): Carlos da Costa Originally published on Towards AI. Two tools in SQL are specifically designed for this purpose: subqueries and CTEs. In this tutorial, we will explore these two advanced SQL techniques for data analysis. Get the SQL roadmap for free!

Data Analysis 92

Data Analysis Data Analysis SQL Clean Data 92

Towards AI

JANUARY 11, 2024

Last Updated on January 12, 2024 by Editorial Team Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Exploring the way to perform tabular data science activity with LLMImage developed by DALL.E However, you might need to learn that LLM could apply to the tabular data. How do we do?

Python 126

Python Clean Data Data Science SQL 126

Pickl AI

MARCH 4, 2024

Optimising Power BI reports for performance ensures efficient data analysis. Power BI proficiency opens doors to lucrative data analytics and business intelligence opportunities, driving organisational success in today’s data-driven landscape. How do you load data into Power BI?

Power BI 52

Power BI Data Analysis Data Analysis Data Modeling 52

Pickl AI

JANUARY 17, 2023

In a business environment, a Data Scientist is involved to work with multiple teams laying out the foundation for analysing data. This implies that as a Data Scientist, you would engage in collecting, analysing and cleaning data gathered from multiple sources.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

phData

JUNE 26, 2024

Data engineers can prepare the data by removing duplicates, dealing with outliers, standardizing data types and precision between data sets, and joining data sets together. Using this cleaned data, our machine learning engineers can develop models to be trained and used to predict metrics such as sales.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52

phData

NOVEMBER 13, 2023

Read more about the dbt Explorer: Explore your dbt projects dbt Semantic Layer: Relaunch The dbt Semantic Layer is an innovative approach to solving the common data consistency and trust challenges. Efficient Data Retrieval: Quick access to metric datasets from your data platform is made possible by MetricFlow’s optimized processes.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

phData

JANUARY 7, 2025

While it can be challenging to assign meaningful names to intermediate model files due to the complexity of joins and aggregations involved, best practices suggest naming the models with a format like int_<verb> sql. Consolidate SQL logic into one model to simplify the DAG and reduce build time.

SQL 52

SQL Data Warehouse Database Analytics 52