Data Science Dojo

SEPTEMBER 11, 2024

Let’s explore each of these components and its application in the sales domain: Synapse Data Engineering: Synapse Data Engineering provides a powerful Spark platform designed for large-scale data transformations through Lakehouse. Here, we changed the data types of columns and dealt with missing values.

Power BI 238

Power BI Data Pipeline Data Warehouse Data Engineering 238

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Table of Contents Why Discuss Snowflake & Power BI?

Power BI 84

Power BI Analytics Analytics Azure 84

ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. What Does a BI Developer Do?

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

phData

FEBRUARY 6, 2023

You should explicitly tie business objectives to specific data sources. Using this methodology, you can identify gaps in your business intelligence, analytics, and reporting. Determine How To Fill Gaps: Once you have identified any gaps in your data, determine how you can fill those gaps.

Analytics 52

Analytics Analytics Power BI Tableau 52

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? An example of a data science tool is Dataiku. Reverse ETL tools.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52