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.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

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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Power BI Tableau Business Intelligence Business Intelligence 52

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.

Data Warehouse 97

Data Warehouse SQL Azure ETL 97

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.

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ETL Hadoop Data Warehouse Data Pipeline 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.

Azure 52

Azure Analytics Analytics Data Pipeline 52

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.

Power BI 84

Power BI Analytics Analytics Azure 84

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.

Data Analyst 110

Data Analyst SQL Python AWS 110

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.

Data Warehouse 52

Data Warehouse ETL Database Data Quality 52

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.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

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.

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Power BI SQL Azure Database 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?

Power BI 52

Power BI Azure Business Intelligence Business Intelligence 52

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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Power BI Data Warehouse ETL Data Preparation 52

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.

Database 101

Database SQL Data Warehouse Machine Learning 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).

Big Data 52

Big Data Big Data Power BI Tableau 52

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.

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

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.

Database 52

Database SQL Big Data Big Data 52

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.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

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.

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Power BI SQL Azure ETL 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.

Database 52

Database SQL Database Administration Analytics 52

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.,

Database 59

Database Azure SQL Analytics 59

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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Power BI Business Intelligence Business Intelligence Analytics 52

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?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

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.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

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.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

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.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

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.

Power BI 52

Power BI Data Analysis Data Analysis Data Modeling 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.

Power BI 52

Power BI Analytics Analytics Machine Learning 52

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.

Data Lakes 52

Data Lakes Data Models Data Modeling Data Warehouse 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.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Alation

APRIL 14, 2022

Cloud providers like Amazon Web Services, Microsoft Azure, Google, and Alibaba not only provide capacity beyond what the data center can provide, their current and emerging capabilities and services drive the execution of AI/ML away from the data center. Support for languages and SQL. On-premises business intelligence and databases.

Data Governance 59

Data Governance ML ML Cloud Data 59

phData

NOVEMBER 13, 2023

Streamlined Metric Creation and Management: With MetricFlow, you can easily establish and oversee company metrics through flexible abstractions and SQL query generation. Seamless Integration with Downstream Tools: The setup process is tailored to enable consistent metric access across a variety of analytics and business intelligence tools.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

phData

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications. Additionally, unsupported data sources can be integrated using Fivetran’s cloud function connectors.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

The MLOps Blog

MARCH 21, 2023

Analytics engineers and data analysts , if you need to integrate third-party business intelligence tools and the data platform, is not separate. I have worked with customers where R and SQL were the first-class languages of their data science community.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Data Science Blog

MAY 15, 2023

Data Lakehouses werden auf Cloud-basierten Objektspeichern wie Amazon S3 , Google Cloud Storage oder Azure Blob Storage aufgebaut. Data Warehousing ist seit den 1980er Jahren die wichtigste Lösung für die Speicherung und Verarbeitung von Daten für Business Intelligence und Analysen. So basieren z.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Data Science Blog

SEPTEMBER 3, 2024

Dabei arbeiten wir technologie-offen und mit nahezu allen Tools – Und oft in enger Verbindung mit Initiativen der Business Intelligence und Data Science. für SAP oder Oracle ERP an, mit vordefinierten Event Log SQL Skripten für viele Standard-Prozesse, insbesondere Procure-to-Pay und Order-to-Cash.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

Data Science Blog

MARCH 19, 2024

Um sich wirklich datengetrieben aufzustellen und das volle Potenzial der eigenen Daten und der Technologien vollumfänglich auszuschöpfen, müssen KI und Data Analytics sowie Business Intelligence in Kombination gebracht werden. Espresso AI wurde dafür entwickelt, um genau das zu tun. Und wie sieht die weitere Entwicklung aus?

Data Science 130

Data Science AI AI Business Intelligence 130

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.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52