Data Science Blog

MAY 20, 2024

Automation : It offers full BI-Stack Automation, from source to data warehouse through to frontend. This includes the creation of SQL Code, DACPAC files, SSIS packages, Data Factory ARM templates, and XMLA files. Frontends : AnalyticsCreator supports Power BI, Qlik Sense, Tableau, PowerPivot (Excel).

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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?

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Data Science Dojo

OCTOBER 31, 2024

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Programming Questions Data science roles typically require knowledge of Python, SQL, R, or Hadoop. Prepare to discuss your experience and problem-solving abilities with these languages.

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phData

SEPTEMBER 26, 2023

They’ve tried to do this with the existing report created with Power BI Desktop, and they can only see a small subset of the data from the table visualization when they export the report page as a PDF. In this blog post, we will introduce you to paginated reports in Power BI and show you how to create one using Power BI Report Builder.

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phData

SEPTEMBER 28, 2023

Power BI Desktop enables the connection and retrieval of data from various sources, followed by data transformation using Power Query. To address this challenge, Microsoft introduced Dataflows within the Power BI service. What are Dataflows in Power BI?

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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.

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phData

SEPTEMBER 6, 2023

With the shift towards cloud-based solutions, migrating SQL Server Reporting Services (SSRS) reports to the Power BI service has become a popular choice for organizations looking to unlock the full potential of their data. Step 1 Open Power BI Desktop and then click on Get Data to connect to SQL Server.

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phData

MAY 19, 2023

The ability to create parameters for your data sources in Power BI is not new; however, there are nuances to parameterizing your Snowflake connections that one should be aware of. What Are Power BI Parameters? From the Home menu, click on Get Data (or New Source if you’re in Power Query) and simply search for Snowflake.

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Pickl AI

DECEMBER 16, 2024

Summary : Microsoft Fabric is an end-to-end Data Analytics platform designed for integration, processing, and advanced insights, while Power BI excels in creating interactive visualisations and reports. Key Takeaways Microsoft Fabric is a full-scale data platform, while Power BI focuses on visualising insights.

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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. What is Power BI Datamarts?

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Pickl AI

FEBRUARY 18, 2025

Summary: Power BI is a business analytics tool transforming data into actionable insights. Key features include AI-powered analytics, extensive data connectivity, customisation options, and robust data modelling. Supports diverse data sources: Excel, SQL Server, Azure, and more. Why Power BI?

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Pickl AI

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Introduction Power BI has become one of the most popular business intelligence (BI) tools, offering powerful Data Visualisation, reporting, and decision-making features.

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Pickl AI

MARCH 10, 2025

Summary: Power BI is a business intelligence tool that transforms raw data into actionable insights. Power BI enhances decision-making by providing interactive dashboards and reports that are accessible to both technical and non-technical users. What Is Power BI?

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Power BI Business Intelligence Business Intelligence Analytics 52

KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

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Pickl AI

DECEMBER 30, 2024

Summary: This guide covers visualising KPI in Power BI, from setting up the tool and preparing data to selecting the right visuals and enhancing dashboards. Power BI is an excellent tool for this purpose, offering powerful features to create interactive, dynamic visualisations that bring data to life.

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phData

AUGUST 25, 2023

As organizations embrace the power of self-service analytics and interactive dashboards, transitioning from SSRS to Power BI becomes an enticing and oftentimes necessary decision. The Power BI Service further enhances collaboration by enabling easy sharing and embedding reports in web pages and applications.

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Pickl AI

MARCH 4, 2024

Summary: Power BI is a leading data analytics platform offering advanced features like real-time analytics and collaborative capabilities. Understanding its significance is vital for aspiring Power BI developers. Mastering Power BI can significantly enhance career prospects, given its prevalence in the industry.

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phData

JANUARY 4, 2024

While Power BI offers flexibility and robust analytics capabilities, it’s easy to get confused with the licensing structure. Is Power BI Free? Is Power BI Free? One of the more common questions we get when helping our clients consider their Power BI licensing strategy is, “Is Power BI really free?”

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Pickl AI

NOVEMBER 5, 2024

Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. What is Power BI? billion in 2023.

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ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

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Pickl AI

AUGUST 28, 2023

Power BI Heatmap: Heatmap in Power BI refers to the type of custom visualisation that businesses analysts utilise for showcasing the relationship between two variables on a map in different colour patches. It helps the user in visualising the patterns which are hidden and observe the changes across each axis.

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phData

JULY 13, 2023

Power BI is a user-friendly and powerful data visualization tool that enables individuals to easily create interactive reports and dashboards as well as centralized datasets. In this blog, we will explain the difference between Full Refresh & Incremental Refresh and how to implement Incremental refresh in Power BI.

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Dataconomy

MARCH 17, 2025

Natural Language Query (NLQ) enables users to query databases using everyday language rather than specialized query languages like SQL. For instance, business analytics platforms like Microsoft Power BI allow users to easily query data related to key performance metrics. What is Natural Language Query (NLQ)?

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Data Science Dojo

AUGUST 16, 2024

These models process vast amounts of text data to learn language patterns, enabling them to respond to queries, summarize information, or even generate complex SQL queries based on natural language inputs. Generative AI for Data Analytics – Top 7 Tools to Leverage 1. ” and the Copilot will generate a relevant chart or report.

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Data Science Blog

JUNE 30, 2023

However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. The presentation is currently limited to the current situation on the labor market. Why we did it? It is a nice show-case many people are interested in.

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phData

JULY 11, 2023

Power BI Datamarts is one of the most exciting features that Microsoft has released for the Power Platform in recent years. If you need high-level information on what a Power BI Datamart is and some example use cases, check out our other blog, What Are Power BI Datamarts?

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Data Science Dojo

MAY 18, 2023

Explore, analyze, and visualize data with our Introduction to Power BI training & make data-driven decisions. 2. Getting Started with SQL Programming: Are you starting your journey in data science? Then you’re probably already familiar with SQL, Python, and R for data analysis and machine learning.

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phData

JULY 14, 2023

Power BI is a versatile and scalable platform that combines self-service and enterprise business intelligence (BI) capabilities. Data Analysis Expressions (DAX) is the formula expression language employed in Power BI. What is the SWITCH Function? How is the SWITCH Function Different From the IF Statement?

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How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. Visualization libraries available in Python such as Matplotlib and Seaborn, and tools like Tableau and Power BI become crucial to telling stories that lead to insights.

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Pickl AI

APRIL 10, 2023

SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

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Dataconomy

MARCH 5, 2025

Key skills: Proficiency in analytics tools like Spark and SQL, knowledge of statistical and machine learning methods, and experience with data visualization tools such as Tableau or Power BI.

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Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

Pickl AI

DECEMBER 25, 2024

Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Data Scientists require a robust technical foundation.

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Pickl AI

NOVEMBER 18, 2024

Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. They use data visualisation tools like Tableau and Power BI to create compelling reports. Key Features: Hands-on Training: Covers real-world Data Analysis methodologies, SQL , Python, and visualisation.

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Smart Data Collective

JULY 22, 2019

Microsoft Power BI. Microsoft Power BI is a free and powerful business intelligence tool from a world-leading software giant Microsoft. This BI tool allows you to get data and insights in minutes with your smartphone, tablet or laptop. Its typical subscription price is $25 per month per user.

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Data Science Blog

NOVEMBER 15, 2023

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. SQL Structured Query Language ( SQL ) is a fundamental skill for data engineers.

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Analytics Vidhya

MAY 21, 2023

Introduction Not a single day passes without us getting to hear the word “data.” It is almost as if our lives revolve around it. Don’t they? With something so profound in daily life, there should be an entire domain handling and utilizing it. This is precisely what happens in data analytics.

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