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Azure Business Intelligence SQL 
Analytics Vidhya
APRIL 28, 2021
The post Learn how to get insights from Azure SQL Database: A sample data analytics project using Global Peace Index data appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Are you passionate about the empirical investigation to find.
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Data Science Dojo
FEBRUARY 1, 2023
Azure Synapse provides a unified platform to ingest, explore, prepare, transform, manage, and serve data for BI (Business Intelligence) and machine learning needs. In this blog, we will explore how to optimize performance and reduce costs when using dedicated SQL pools in Azure Synapse Analytics.
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databricks
JUNE 11, 2025
AI Functions in SQL: Now Faster and Multi-Modal AI Functions enable users to easily access the power of generative AI directly from within SQL. Figure 3: Document intelligence arrives at Databricks with the introduction of ai_parse in SQL.
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databricks
JUNE 11, 2025
Product December 12, 2024 / 4 min read Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.
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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. For analysis the way of Business Intelligence this normalized data model can already be used.
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databricks
JUNE 4, 2025
160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.
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Data Science Dojo
MAY 18, 2023
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. Getting Started with SQL Programming: Are you starting your journey in data science?
195 
Data Science Dojo
SEPTEMBER 11, 2024
OneLake, being built on Azure Data Lake Storage (ADLS), supports various data formats, including Delta, Parquet, CSV, and JSON. Power BI: Power BI, integrated within Microsoft Fabric, is a leading Business Intelligence tool that facilitates advanced data visualization and reporting.
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Pickl AI
NOVEMBER 4, 2024
Each database type requires its specific driver, which interprets the application’s SQL queries and translates them into a format the database can understand. The driver manages the connection to the database, processes SQL commands, and retrieves the resulting data. INSERT : Add new records to a table.
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Data Science Blog
JUNE 30, 2023
DATANOMIQ Jobskills Webapp The whole web app is hosted and deployed on the Microsoft Azure Cloud via CI/CD and Infrastructure as Code (IaC). 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. Why we did it?
130 
Dataconomy
SEPTEMBER 27, 2023
The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.
Pickl AI
NOVEMBER 5, 2024
Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. To provide additional information, the global business intelligence market was valued at USD 29.42
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Smart Data Collective
APRIL 29, 2020
Redshift is the product for data warehousing, and Athena provides SQL data analytics. The services from AWS can be catered to meet the needs of each business user. Dataform is a data transformation platform that is based on SQL. SQL workflows can be written by teams as part of a collaborative IDE. Microsoft Azure.
Smart Data Collective
SEPTEMBER 8, 2021
The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements. ETL is one of the most integral processes required by Business Intelligence and Analytics use cases since it relies on the data stored in Data Warehouses to build reports and visualizations.
126 
phData
SEPTEMBER 5, 2023
However, there might be instances where you need to migrate the raw event data from GA4 to Snowflake for more in-depth analysis and business intelligence purposes. In this step-by-step guide, we will walk you through setting up a data ingestion pipeline using Azure Data Factory (ADF), Google BigQuery, and the Snowflake Data Cloud.
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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. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.
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Pickl AI
NOVEMBER 18, 2024
Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Key Features: Hands-on Training: Covers real-world Data Analysis methodologies, SQL , Python, and visualisation.
110 
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.
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. such data resources are cleaned, transformed, and analyzed by using tools like Python, R, SQL, and big data technologies such as Hadoop and Spark.
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Pickl AI
DECEMBER 15, 2024
It enables organisations to perform complex queries and analyses, making it a crucial element for business intelligence and decision-making processes. A data mart is a subset of a data warehouse tailore for specific business lines or departments within an organisation. Optimise SQL queries by avoiding unnecessary complexity.
Women in Big Data
NOVEMBER 27, 2024
Optimized for analytical processing, it uses specialized data models to enhance query performance and is often integrated with business intelligence tools, allowing users to create reports and visualizations that inform organizational strategies. Its PostgreSQL foundation ensures compatibility with most SQL clients.
Pickl AI
FEBRUARY 23, 2025
Apache Spark Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, Machine Learning , and graph processing. Google Cloud BigQuery Google Cloud BigQuery is a fully-managed enterprise data warehouse that enables super-fast SQL queries using the processing power of Googles infrastructure.
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phData
JUNE 5, 2025
Developers can benefit from a file-based development approach to implement business logic in Python, Snowpark, SQL, JavaScript, etc. All Some None My customers span across multiple Cloud Platforms No Yes (AWS and Azure) Yes (AWS, Azure, and GCP) Does the application need load balancing, failure recovery, or replication?
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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. See Microsoft’s documentation on the process here.
90 
Pickl AI
FEBRUARY 18, 2025
Supports diverse data sources: Excel, SQL Server, Azure, and more. The increasing need for businesses to make data-driven decisions has led to the rise of Business Intelligence (BI) tools like Power BI. Customisable dashboards and reports enhance data presentation. Why Power BI?
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ODSC - Open Data Science
JUNE 12, 2023
In the real world, the Business Intelligence ( BI ) or the Information Technology ( IT ) departments are responsible for implementing and maintaining the ETL processes, the enterprise data warehouse and Datamarts, which often take a reasonably long time to deliver the solution to the end users.
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IBM Journey to AI blog
SEPTEMBER 11, 2023
Boyce to create Structured Query Language (SQL). Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time.
101 
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. Examples include SQl, DWH, and Cloud based systems (Google Bigquery).
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Pickl AI
OCTOBER 16, 2024
This article explores RDBMS’s features, advantages, applications across industries, the role of SQL, and emerging trends shaping the future of data management. Additionally, we will examine the role of SQL in RDBMS and look ahead at emerging trends shaping the future of structured data management.
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Mlearning.ai
FEBRUARY 16, 2023
The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Therefore, the tool is referred to as cloud-agnostic.
phData
JULY 11, 2023
Power BI Datamarts provides a low/no code experience directly within Power BI Service that allows developers to ingest data from disparate sources, perform ETL tasks with Power Query, and load data into a fully managed Azure SQL database. Power BI has a native Snowflake connector that we will use to build our datamart.
40 
Pickl AI
JULY 19, 2024
SQL (Structured Query Language) is the standard language for interacting with RDBMS. Examples of RDBMS include MySQL, Oracle Database, PostgreSQL, and Microsoft SQL Server. NoSQL (Not Only SQL) Databases Designed to handle large volumes of unstructured or semi-structured data, NoSQL databases offer flexibility and scalability.
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Cambridge Intelligence
OCTOBER 19, 2023
In this post, we’ll take a look at some of the factors you could investigate, and introduce the six databases our customers work with most often: Amazon Neptune ArangoDB Azure Cosmos DB JanusGraph Neo4j TigerGraph Why these six graph databases? Relational databases (with recursive SQL queries), document stores, key-value stores, etc.,
59 
Pickl AI
APRIL 9, 2025
This process ensures that organizations can consolidate disparate data sources into a unified repository for analytics and reporting, thereby enhancing business intelligence. Integration : Can it connect with existing systems like AWS, Azure, or Google Cloud? This stage involves optimizing the data for querying and analysis.
52 
Pickl AI
MARCH 10, 2025
Summary: Power BI is a business intelligence tool that transforms raw data into actionable insights. Introduction Managing business and its key verticals can be challenging. Power BI is a powerful business intelligence tool that transforms raw data into actionable insights through interactive dashboards and reports.
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IBM Journey to AI blog
JANUARY 18, 2023
Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. This is an architecture that’s well suited for the cloud since AWS S3 or Azure DLS2 can provide the requisite storage. It was Datawarehouse.
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Pickl AI
APRIL 26, 2024
It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Key Takeaways SQL Mastery: Understand SQL’s importance, join tables, and distinguish between SELECT and SELECT DISTINCT. How do you join tables in SQL?
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ODSC - Open Data Science
JANUARY 18, 2024
These areas may include SQL, database design, data warehousing, distributed systems, cloud platforms (AWS, Azure, GCP), and data pipelines. Microsoft Azure in particular allows users to explore the Azure ecosystem and provides on-site training for users of all levels. Learn more about the cloud.
phData
JANUARY 31, 2024
Where Streamlit shines is creating interactive applications, not typical business intelligence dashboards and reporting. Snowflake Dynamic Tables are a new(ish) table type that enables building and managing data pipelines with simple SQL statements. What was once a SQL-based data warehousing tool is now so much more.
Pickl AI
MARCH 4, 2024
Power BI proficiency opens doors to lucrative data analytics and business intelligence opportunities, driving organisational success in today’s data-driven landscape. 2024’s top Power BI interview questions simplified With a 36% market share, Power BI is the most popular data analytics platform among businesses.
52 
Pickl AI
DECEMBER 16, 2024
Power BI is a dynamic business intelligence and analytics platform that transforms raw data into actionable insights through powerful visualisations and reports. These features include: Data Connectivity : Connects to various data sources, including SQL databases, Excel spreadsheets, and cloud-based applications.
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phData
SEPTEMBER 19, 2023
Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. There are tools designed specifically to analyze your data lake files, determine the schema, and allow for SQL statements to be run directly off this data.
52 
Pickl AI
APRIL 2, 2024
There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. SQL (Structured Query Language): Language for managing and querying relational databases. The Three Types of Data Science Data science isn’t a one-size-fits-all solution.
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