Tableau

FEBRUARY 14, 2022

Director of Research, Tableau. Editor’s note: This article originally appeared in Forbes. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. Vidya Setlur. Kristin Adderson. February 14, 2022 - 6:11pm. February 15, 2022.

AI 75

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Pickl AI

APRIL 26, 2024

This article aims to guide you through the intricacies of Data Analyst interviews, offering valuable insights with a comprehensive list of top questions. Additionally, we’ve got your back if you consider enrolling in the best data analytics courses. Explain the Extract, Transform, Load (ETL) process.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving.

Business Intelligence 70

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Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

JULY 25, 2023

Two prominent roles that play a crucial part in this data-driven landscape are Data Scientists and Data Engineers. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. Domain Knowledge: Understanding the specific domain where they apply data analysis.

Data Engineering 52

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Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

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ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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Alation

JANUARY 25, 2022

This will allow them to be certain it’s the data they need, at which point they can use their data prep or pipeline tools against the actual source to continue with the development phase of their work. Alation partners such as Dataiku, Trifacta, and Tableau are perfect examples.

DataOps 52

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Alation

FEBRUARY 13, 2020

This article is based on a podcast with Adrian. For that, we are using tools like Alation, Tableau and MicroStrategy. And, then, if they need to run a query, they can choose the query that is certified, for example, from the BI team, and then they can continue their analysis through Tableau to obtain their own insights.

Tableau 52

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phData

MAY 13, 2024

This article was co-written by Justin Delisi & Sam Hall. Coalesce : Standardized and scalable visual data transformation and development on Snowflake.

Database 52

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