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. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined.

Power BI 84

Power BI Analytics Analytics Azure 84

phData

JUNE 8, 2023

Power BI Desktop is a wonderful business intelligence tool that has an expansive list of reporting capabilities, but there is one thing that you aren’t able to do with it – create a paginated report, which is a specific style of report that is designed to be exported or printed. What Is Power BI Report Builder?

Power BI 90

Power BI SQL Azure Database 90

Dataconomy

JUNE 1, 2023

Microsoft has made good on its promise to deliver a simplified and more efficient Microsoft Fabric price model for its end-to-end platform designed for analytics and data workloads. Microsoft’s unified pricing model for the Fabric suite marks a significant advancement in the analytics and data market.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Pickl AI

DECEMBER 25, 2024

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Introduction In today’s data-driven world, businesses increasingly rely on analytics and insights to drive decisions and gain a competitive edge. What is Business Analytics?

Data Science 52

Data Science Analytics Analytics Data Scientist 52

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.

Power BI 64

Power BI SQL Azure Database 64

Dataconomy

MARCH 17, 2025

Natural Language Query (NLQ) is changing the way we interact with data analytics by allowing users to speak or type their questions in a way that feels natural and intuitive. Natural Language Query (NLQ) enables users to query databases using everyday language rather than specialized query languages like SQL.

Natural Language Processing 91

Natural Language Processing Power BI Analytics Analytics 91

Analytics Vidhya

DECEMBER 19, 2022

So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions. appeared first on Analytics Vidhya. These sessions provide not only theoretical knowledge but also cover practical demonstrations of the […].

Data Science 328

Data Science ML ML Analytics 328

phData

SEPTEMBER 6, 2023

As businesses shift towards cloud-based solutions in data analytics and business intelligence, many forward-thinking organizations seek to leverage the latest and greatest of technologies to enhance their reporting capabilities. Step 1 Open Power BI Desktop and then click on Get Data to connect to SQL Server. Click on OK.

Power BI 64

Power BI SQL Business Intelligence Business Intelligence 64

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.

Power BI 52

Power BI Analytics Analytics Machine Learning 52

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.

Power BI 52

Power BI Tableau Data Analysis Data Analysis 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. It offers AI-driven analytics, including Natural Language Processing. Why Power BI?

Power BI 52

Power BI Azure SQL Business Intelligence 52

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?

Power BI 52

Power BI Business Intelligence Business Intelligence Analytics 52

Analytics Vidhya

OCTOBER 6, 2023

This article will explore the key features and benefits, identify the ideal users for this solution, and guide you on when and how to […] The post Introduction of Microsoft Fabric appeared first on Analytics Vidhya.

Analytics 343

Analytics Analytics Power BI Data Lakes 343

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?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 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. Optimising Power BI reports for performance ensures efficient data analysis.

Power BI 52

Power BI Data Analysis Data Analysis Data Modeling 52

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.

Power BI 52

Power BI SQL Data Governance Database 52

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.

Power BI 52

Power BI SQL Data Analysis Data Analysis 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.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

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?”

Power BI 52

Power BI Analytics Analytics SQL 52

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.

SQL 98

SQL Data Scientist Database Data Science 98

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.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Data processing is another skill vital to staying relevant in the analytics field. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

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.

Data Science 195

Data Science AI AI SQL 195

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?

Power BI 40

Power BI SQL Azure ETL 40

Data Science Blog

NOVEMBER 15, 2023

The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. 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.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

NOVEMBER 18, 2024

Choosing the right certification enhances career growth and opens doors to better opportunities in Data Analytics. The global Data Analytics market, valued at USD 41.05 Essential Skills for Data Analysts Strong analytical skills top the list of requirements for a Data Analyst.

Data Analyst 110

Data Analyst SQL Python AWS 110

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.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Smart Data Collective

JULY 22, 2019

BI tools can help you gather information better and faster. They can be your 24/7 analytical team that does not practically need any maintenance. BI tools automate all your analytics for you so that you can spend all of those hours on first-priority tasks. Zoho Analytics. SAP Analytics Cloud.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. What is Descriptive Analytics?

Analytics 52

Analytics Analytics Power BI Tableau 52

ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

AWS Machine Learning Blog

MAY 30, 2024

The company’s Data & Analytics team regularly receives client requests for unique reports, metrics, or insights, which require custom development. The wrapper function creates a dynamic prompt template and generates a SQL query using Anthropic Claude 2. The wrapper function runs the SQL query using psycopg2.

AWS 133

AWS SQL Database AI 133

AWS Machine Learning Blog

MARCH 8, 2023

This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability. In this post, you will learn how Marubeni is optimizing market decisions by using the broad set of AWS analytics and ML services, to build a robust and cost-effective Power Bid Optimization solution.

AWS 102

AWS Machine Learning Machine Learning Analytics 102

Mlearning.ai

MARCH 15, 2023

This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. Some individuals are confused about the right path to choose between the two lucrative careers —  Data Science and Data Analytics. Familiarity with Databases; SQL for structured data, and NOSQL for unstructured data.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. Looker focuses on providing user-friendly interfaces with an emphasis on collaboration and self-service analytics.

Big Data 52

Big Data Big Data Power BI Tableau 52

Dataconomy

JULY 24, 2023

” Data management and manipulation Data scientists often deal with vast amounts of data, so it’s crucial to understand databases, data architecture, and query languages like SQL. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful. This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

FEBRUARY 19, 2025

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods. What is Data Analytics?

Data Science 52

Data Science Analytics Analytics Machine Learning 52