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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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.

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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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Flipboard

FEBRUARY 1, 2023

He previously founded and ran business-intelligence consulting company Extended Results, which was acquired by Tibco Software in 2013. He also currently develops and runs The Equestrian app for horse owners and businesses, which has more than 35,000 members representing more than 45,000 horses worldwide. Click for larger image.)

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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. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale.

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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. auf den Analyse-Ressourcen der Microsoft Azure Cloud oder in auf der databricks-Plattform.

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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?

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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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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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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.

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The Data Administration Newsletter

JANUARY 20, 2021

In the cloud-era, should you store your corporate data in Cosmos DB on Azure, Cloud Spanner on the Google Cloud Platform, or in the Amazon Quantum Ledger? The overwhelming number of options today for storing and managing data in the cloud makes it tough for database experts and architects to design adequate solutions.

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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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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). The skill clusters are formed via the discipline of Topic Modelling , a method from unsupervised machine learning , which show the differences in the distribution of requirements between them.

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Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science.

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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.

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Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. Cloud platforms like AWS, Azure, and Google Cloud offer scalable resources that can be provisioned on-demand.

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Pickl AI

NOVEMBER 22, 2024

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. Real-Time Data Monitoring : Allows users to track metrics in real-time.

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Smart Data Collective

APRIL 29, 2020

Microsoft Azure. The Azure platform has a variety of tools for setting up data management systems, and analytics tools that can be applied to the stored data. Azure Data Explorer (ADX) enables the analysis of large streaming data in real time, and without preprocessing. Private cloud deployments are also possible with Azure.

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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. What Are Some Popular Data Warehousing Tools?

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Data Science Blog

JUNE 21, 2023

Cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), provide scalable and flexible infrastructure options. Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources.

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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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Pickl AI

NOVEMBER 4, 2024

Enhanced Data Integration ODBC facilitates seamless data integration across platforms and applications, making it an ideal solution for business intelligence tools and reporting systems. A notable feature of this driver is its compatibility with Azure SQL Database, enabling users to connect to cloud-based SQL databases effortlessly.

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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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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.

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ODSC - Open Data Science

JUNE 1, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? Take a deep dive into the theory underpinning and applications of Generative AI at our first-ever Generative AI Summit on July 20th. Register for free! Learn more about how you can speak and present at ODSC West here!

Data Lakes 52

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Alation

JULY 26, 2022

Support for Power BI on Azure and catalogs: workflow, apps, reports, dashboards, tiles, datasets, dataset fields. This means the new connector will deliver better performance, increased security, and a consistent user experience. Highlights of the new connector include: Compatibility with Alation version 2021.3 Get more details here.

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phData

FEBRUARY 21, 2025

A data warehouse enables advanced analytics, reporting, and business intelligence. Examples include: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

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Data Warehouse Cloud Data ETL Cloud Computing 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Cloud-Based Orchestration Tools While open-source tools are powerful, cloud-based orchestration services like AWS Glue, Azure Data Factory, and Google Cloud Dataflow offer managed solutions that reduce the burden of infrastructure 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.

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ODSC - Open Data Science

JUNE 2, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? A shift has been trending in Analytics and Business Intelligence where we’re seeing more and more analysts taking center stage to better enable the decision-maker by bridging the gap between data and the insights drawn from it.

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Pickl AI

NOVEMBER 18, 2024

Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Are you aiming for an entry-level role or looking to specialise in a particular area of Data Analytics, such as Machine Learning or Business Intelligence?

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ODSC - Open Data Science

MAY 4, 2023

Featured Jobs from Hiring Partners: Senior Associate Taxonomy and Information Architecture Specialist Senior Marketing Effectiveness Analyst Data Manager Business Intelligence Data Scientist Senior Product Manager See more jobs at jobs.opendatascience.com.

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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? Here, performance for writing to the database is important.

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IBM Journey to AI blog

DECEMBER 1, 2023

This relatively new system offers a centralized platform with applications to manage all aspects of your business from supply chain management to inventory management to financial management.

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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.

Data Lakes 52

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DataRobot

SEPTEMBER 14, 2021

Ensuring you can harness the power of your data, wherever it lives, you can implement DataRobot with major cloud providers including AWS , Google Cloud , and Azure. A Broad Set of Users: Integrate your preferred business intelligence partners and enterprise applications seamlessly to unite technical and non-technical users.

AI 52

AI AI Tableau Azure 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.

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