Data Science Dojo

OCTOBER 10, 2023

IMPACT 2023- The Data Observability Summit (Virtual event – November 8) Focus on Data and AI : The summit will illuminate how contemporary technical teams are crafting impactful and performant data and AI products that businesses can rely on. Link to event -> Live!

AI 243

AI AI Data Observability Artificial Intelligence 243

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

AUGUST 10, 2023

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. The most important reason for using DBT in Data Vault 2.0 Managing a data vault with SQL is a real challenge.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

Alation

MAY 24, 2022

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Alation

OCTOBER 19, 2022

“It is remarkable also,” the report continues, “that 63 percent of respondents are using Alation as a ‘query engine’ leveraging direct access to data and exploring it using the built-in SQL query builder.”. for data observability) [and] has been a good innovation.”. And Leads to Customer Satisfaction.

Data Governance 52

Data Governance Data Quality Data Lakes Data Observability 52

phData

FEBRUARY 22, 2023

Thankfully there are open-source projects that don’t make you parse SQL into grammars yourself (ain’t nobody got time for that!), SQL Linting saves tons of time and ensures your team is looking for deeper logical issues in the PR instead of basic naming and formatting mistakes. such as SQLFluff.

SQL 52

SQL Data Quality Database ETL 52

Pickl AI

JUNE 7, 2024

Comprehensive Data Management: Supports data movement, synchronisation, quality, and management. Scalability: Designed to handle large volumes of data efficiently. It offers connectors for extracting data from various sources, such as XML files, flat files, and relational databases. How to drop a database in SQL server?

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40