Dataconomy

MAY 26, 2025

Supported platforms Azure Data Studio is compatible with: Windows Linux macOS It supports SQL Server (2014 and later), Azure SQL Database, and Azure SQL Data Warehouse, making it a versatile choice for a range of database environments.

Azure 91

Azure Database Administration SQL Database 91

phData

NOVEMBER 9, 2023

What Components Make up the Snowflake Data Cloud? This data mesh strategy combined with the end consumers of your data cloud enables your business to scale effectively, securely, and reliably without sacrificing speed-to-market. What is a Cloud Data Warehouse? Today, data lakes and data warehouses are colliding.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Dataconomy

SEPTEMBER 27, 2023

Data analysts collect, clean, and analyze data to extract insights that can help businesses make better decisions. Data scientists develop and apply machine learning algorithms to solve complex data problems.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

JANUARY 19, 2024

Now, we’ll make a GET request to the following endpoint, which is set up to look for analytics books released between 2014 and 2024. Aside from that, you will choose where the data will be stored in your data warehouse and the staging location. Check out the API documentation for our sample.

Data Pipeline 52

Data Pipeline Data Warehouse ETL Azure 52

phData

MAY 25, 2023

One of the easiest ways for Snowflake to achieve this is to have analytics solutions query their data warehouse in real-time (also known as DirectQuery). Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure.

Power BI 84

Power BI Analytics Analytics Azure 84

The MLOps Blog

OCTOBER 20, 2023

In 2014, Project Jupyter evolved from IPython. in a pandas DataFrame) but in the company’s data warehouse (e.g., In those cases, most of the data exploration and wrangling will be done through SQL. These tools gained significant adoption among researchers. There are several ways to use SQl wit Jupyter notebooks.

SQL 52

SQL Database Data Scientist Python 52