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

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

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 85

Data Science Analytics Analytics Data Scientist 85

phData

APRIL 5, 2024

Data pipelines can be set up in Snowflake using stages , streams, and tasks to automate the continuous process of uploading documents, extracting information, and loading them into destination tables. Before diving into the technology that powers Document AI, let’s go over some of the utility that extracting your information offers.

AI 52

AI AI Natural Language Processing Tableau 52

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

phData

DECEMBER 12, 2023

Step 2: Analyze the Data Once you have centralized your data, use a business intelligence tool like Sigma Computing , Power BI , Tableau , or another to craft analytics dashboards. It also leads to more company-wide collaboration and cuts unnecessary organizational expenses.

Data Warehouse 52

Data Warehouse Machine Learning Machine Learning Tableau 52