Smart Data Collective

APRIL 2, 2019

The primary reason data lakes were so attractive to companies was the promise of agile processing of data in order to provide real-time (or near real-time) results on data sets. In order for this to even be possible, the data visualization aspect needs to be streamlined to show exactly what the user wants to see.

Data Lakes 106

Data Lakes Big Data Big Data Data Scientist 106

phData

JULY 17, 2023

In order to fully leverage this vast quantity of collected data, companies need a robust and scalable data infrastructure to manage it. This is where Fivetran and the Modern Data Stack come in. Data modeling, data cleanup, etc. Fivetran is a critical member of the Modern Data Stack. What is Fivetran?

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

phData

MAY 25, 2023

Two of the platforms that we see emerging as a popular combination of data warehousing and business intelligence are the Snowflake Data Cloud and Power BI. Debuting in 2015, Power BI has undergone meaningful updates that have made it a leader not just in data visualization, but in the business intelligence space as well.

Power BI 84

Power BI Analytics Analytics Azure 84

Tableau

OCTOBER 8, 2021

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

DataSeries

AUGUST 15, 2024

Data Engineering Career: Unleashing The True Potential of Data Problem-Solving Skills Data Engineers are required to possess strong analytical and problem-solving skills to navigate complex data challenges. Understanding these fundamentals is essential for effective problem-solving in data engineering.

Data Engineering 40

Data Engineering Data Engineer Data Engineering Data Engineering 40

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. But good data—and actionable insights—are hard to get. What is Salesforce Data Cloud for Tableau?

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

ODSC - Open Data Science

APRIL 26, 2023

Data Engineer Data engineers are the authors of the infrastructure that stores, processes, and manages the large volumes of data an organization has. The main aspect of their profession is the building and maintenance of data pipelines, which allow for data to move between sources.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

phData

JULY 18, 2023

Enter dbt dbt provides SQL-centric transformations for your data modeling and transformations, which is efficient for scrubbing and transforming your data while being an easy skill set to hire for and develop within your teams. This can be critical to maintaining stakeholder buy-in and continued funding.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. Below are 20 essential tools every data engineer should know.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52