Azure, Data Warehouse and Power BI - Data Science Current

Azure

Data Warehouse

Power BI

CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Data Science Blog

MAY 20, 2024

Enter AnalyticsCreator AnalyticsCreator, a powerful tool for data management, brings a new level of efficiency and reliability to the CI/CD process. It offers full BI-Stack Automation, from source to data warehouse through to frontend. Data Lakes : It supports MS Azure Blob Storage.

Data Pipeline

Data Pipeline Data Warehouse Azure Data Lakes

Introduction to Power BI Datamarts

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Before we look into the Power BI Datamarts, let us take a step back and understand the meaning of a Datamart. in an enterprise data warehouse.

Power BI

Power BI Data Warehouse ETL Data Preparation

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Webinars

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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How to Optimize Power BI and Snowflake for Advanced Analytics

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

Power BI Analytics Analytics Azure

Webinars

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Marketing Operations in 2025: A New Framework for Success

Apache Airflow®: The Ultimate Guide to DAG Writing

MORE WEBINARS

CI/CD für Datenpipelines – Ein Game-Changer mit AnalyticsCreator

Data Science Blog

JULY 20, 2024

Es bietet vollständige Automatisierung des BI-Stacks und unterstützt ein breites Spektrum an Data Warehouses, analytischen Datenbanken und Frontends. Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien. Data Lakes: Unterstützt MS Azure Blob Storage.

Azure

Azure Power BI SQL Data Lakes

Exploring the Power of Microsoft Fabric: A Hands-On Guide with a Sales Use Case

Data Science Dojo

SEPTEMBER 11, 2024

With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. OneLake, being built on Azure Data Lake Storage (ADLS), supports various data formats, including Delta, Parquet, CSV, and JSON. Choose a visual of interest.

Power BI

Power BI Data Pipeline Data Warehouse Data Engineering

Sneak peek at Microsoft Fabric price and its promising features

Dataconomy

JUNE 1, 2023

Microsoft Fabric combines multiple elements into a single platform – Image courtesy of Microsoft The contribution of Power BI The integration of Microsoft Power BI and Microsoft Fabric offers a powerful combination for organizations seeking comprehensive data analytics and insights.

Power BI

Power BI Data Lakes Azure Data Silos

Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

Azure

Azure Data Scientist Machine Learning Machine Learning

Process Mining – Ist Celonis wirklich so gut? Ein Praxisbericht.

Data Science Blog

SEPTEMBER 3, 2024

Process Mining wurde kürzlich in die Power Automate Plattform und in Power BI integriert. Process Mining Tools, die Business Intelligence Software erweitern Und dann gibt es noch diejenigen Anbieter, die bestehende BI Tools mit Erweiterungen zum Process Mining Analysewerkzeug machen. nicht mehr weiterentwickelt wird.

Data Science

Data Science Power BI Azure Data Warehouse

Cloud Data Science 8

Data Science 101

FEBRUARY 22, 2020

Welcome to Cloud Data Science 8. This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more. Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login.

Cloud Data

Cloud Data Data Science Power BI Azure

Interview – Business Intelligence und Process Mining ohne Vendor Lock-in!

Data Science Blog

FEBRUARY 7, 2023

Vor einen Jahrzehnt war es immer noch recht üblich, sich einfach ein BI Tool zu nehmen, sowas wie QlikView, Tableau oder PowerBI, mittlerweile gibt es ja noch einige mehr, und da direkt die Daten reinzuladen und dann halt loszulegen mit dem Aufbau der Reports. Ein Data Warehouse ist eine oder eine Menge von Datenbanken.

Business Intelligence

Business Intelligence Business Intelligence Data Warehouse Data Lakes

11 Open-Source Data Engineering Tools Every Pro Should Use

ODSC - Open Data Science

FEBRUARY 6, 2024

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. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

Choosing the Right ETL Platform: Benefits for Data Integration

Pickl AI

OCTOBER 15, 2024

ETL (Extract, Transform, Load) is a core process in data integration that involves extracting data from various sources, transforming it into a usable format, and loading it into a target system, such as a data warehouse. It supports both batch and real-time data processing , making it highly versatile.

ETL

ETL Azure AWS Data Governance

Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.

Data Analyst

Data Analyst Data Analysis Data Analysis Machine Learning

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

JULY 25, 2023

Their primary responsibilities include: Data Storage and Management Data Engineers design and implement storage solutions for different types of data, be it structured, semi-structured, or unstructured. They work with databases and data warehouses to ensure data integrity and security.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Introduction to Power BI Datamarts

Webinars

Trending Sources

How to Optimize Power BI and Snowflake for Advanced Analytics

Webinars

CI/CD für Datenpipelines – Ein Game-Changer mit AnalyticsCreator

Exploring the Power of Microsoft Fabric: A Hands-On Guide with a Sales Use Case

Sneak peek at Microsoft Fabric price and its promising features

Your Complete Roadmap to Become an Azure Data Scientist

Process Mining – Ist Celonis wirklich so gut? Ein Praxisbericht.

Cloud Data Science 8

Interview – Business Intelligence und Process Mining ohne Vendor Lock-in!

11 Open-Source Data Engineering Tools Every Pro Should Use

Choosing the Right ETL Platform: Benefits for Data Integration

Top 50+ Data Analyst Interview Questions & Answers

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

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