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 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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Power BI SQL Azure Database 64

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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Power BI Data Preparation Machine Learning Machine Learning 78

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? in an enterprise data warehouse.

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Power BI Data Warehouse ETL Data Preparation 52

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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Power BI Azure Business Intelligence Business Intelligence 52

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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Power BI Analytics Analytics Machine Learning 52

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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Power BI Tableau Business Intelligence Business Intelligence 52

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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Pickl AI

JUNE 5, 2025

Visualization and Reporting: Creating dashboards and reports using tools like Tableau or Power BI to communicate insights effectively to non-technical stakeholders, including management and clients. SQL remains crucial for database querying, especially given India’s large IT services ecosystem.

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Data Scientist Data Science Power BI Machine Learning 52

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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Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

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. Building Enterprise-Grade Q&A Chatbots with Azure OpenAI: In this tutorial, we explore the features of Azure OpenAI and demonstrate how to further improve the platform by fine-tuning some of its models.

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Pickl AI

DECEMBER 26, 2024

Defining Cloud Computing in Data Science Cloud computing provides on-demand access to computing resources such as servers, storage, databases, and software over the Internet. Managed services like AWS Lambda and Azure Data Factory streamline data pipeline creation, while pre-built ML models in GCPs AI Hub reduce development time.

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Data Science Cloud Computing Machine Learning Machine Learning 52

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. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

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Azure Data Scientist Data Science Machine Learning 52

Pickl AI

NOVEMBER 22, 2024

Wide Range of Data Sources : Connects to databases, spreadsheets, and Big Data platforms. Microsoft Power BI Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form. Data Sources and Collection Everything in data science begins with data.

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Data Science Data Analyst Data Scientist Machine Learning 52

Women in Big Data

DECEMBER 9, 2024

There is a plethora of BI tools available in the market today, with new ones being added yearly. Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making.

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Big Data Big Data Power BI Tableau 52

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. R : Often used for statistical analysis and data visualization.

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Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

APRIL 6, 2023

It’s a foundational skill for working with relational databases Just about every data scientist or analyst will have to work with relational databases in their careers. Another boon for efficient work that SQL provides is its simple and consistent syntax that allows for collaboration across multiple databases.

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SQL Data Scientist Database Data Science 98

Pickl AI

MARCH 19, 2025

A data engineer creates and manages the pipelines that transfer data from different sources to databases or cloud storage. Data Storage : Keeping data safe in databases or cloud platforms. It allows them to retrieve, manipulate, and manage structured data in relational databases. What Does a Data Engineer Do?

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Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

OCTOBER 17, 2024

Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. Common tools like Tableau, Power BI, and Google Data Studio enable businesses to create dynamic visualisations that simplify complex datasets. These visual representations help users quickly identify trends and patterns.

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Analytics Analytics Power BI Tableau 52

Mlearning.ai

MARCH 15, 2023

Familiarity with Databases; SQL for structured data, and NOSQL for unstructured data. Experience with cloud platforms like; AWS, AZURE, etc. Experience with visualization tools like; Tableau and Power BI. High proficiency in visualization tools like; Tableau, Google Studio, and Power BI.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Cloud Services: Google Cloud Platform, AWS, Azure.

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Analytics Analytics Data Analyst Data Science 52

Pickl AI

JULY 30, 2024

Some of the key tools used for sequence analysis include: BLAST (Basic Local Alignment Search Tool) BLAST compares a query sequence with a database of known sequences to identify similar regions. Power BI Power BI is a business analytics tool that allows researchers to create interactive dashboards and reports.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Pickl AI

OCTOBER 15, 2024

The first step in the ETL process is extraction, where data is gathered from different sources, such as databases, cloud services, or flat files. Its ability to integrate with cloud platforms like AWS and Azure makes it an excellent choice for businesses moving to the cloud.

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ETL Azure AWS Data Governance 52

Pickl AI

DECEMBER 2, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

phData

DECEMBER 4, 2023

More on this topic later; but for now, keep in mind that the simplest method is to create a naming convention for database objects that allows you to identify the owner and associated budget. You can set this value for each database and choose to have non-production data stored for fewer days. authorization server.

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Clustering Database SQL Data Pipeline 98

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Their primary responsibilities include: Data Collection and Preparation Data Scientists start by gathering relevant data from various sources, including databases, APIs, and online platforms. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

DECEMBER 4, 2024

Focus on Python and R for Data Analysis, along with SQL for database management. Learn to use tools like Tableau, Power BI, or Matplotlib to create compelling visual representations of data. Familiarise yourself with cloud platforms like AWS, Google Cloud Platform , or Microsoft Azure for storing and processing large datasets.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

APRIL 2, 2024

Understanding Data Structured Data: Organized data with a clear format, often found in databases or spreadsheets. SQL (Structured Query Language): Language for managing and querying relational databases. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

APRIL 26, 2024

SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. The SELECT statement retrieves data from a database, while SELECT DISTINCT eliminates duplicate rows from the result set. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure?

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Data Analyst Data Analysis Data Analysis Machine Learning 52

Hacker News

NOVEMBER 14, 2023

OnPrem - Geospatial database D2. OnPrem - SAP database D4. OnCloud - Large mirror database D10. OnPrem - LotusNotes database D11. OnPrem - IBM BPM database D12. In 2000s many of our systems were built on top of IBM Lotus Notes databases. OnCloud - Geospatial mirror D3. OnPrem - File System D13.

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Power BI Database Algorithm Azure 108

Dataconomy

APRIL 25, 2023

🌵 ♬ use this audio if im the best editor oat – alpine Wolfram Alpha : Wolfram Alpha is a computational knowledge engine that can answer any question or query using its vast database of facts and algorithms. You can use Diffbot to build your own custom databases or APIs for any purpose.

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Flipboard

JUNE 16, 2025

SQL and MongoDB SQL remains critical for structured data management, while MongoDB caters to NoSQL database needs, which is essential for modern and flexible data applications. Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles.

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Python AWS Machine Learning Machine Learning 50

phData

MAY 15, 2025

Databases & Data Stores: Snowflake, AWS Redshift, Apache Druid, ClickHouse, etc. Dashboards & Visualization: Tableau, Power BI , Qlik, etc. Finally, we will specify the Snowflake database, schema, and table name, which were created in the Snowflake Setup step, as shown below. Is Snowflake an OLAP or OLTP?

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AWS Analytics Analytics Apache Kafka 59