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b.telligent Blog: Reporting

SAP Analytics Cloud – live vs. import connection

Is "live" always better, and does "import" harbour unnecessary complexity? We will show how you can use their respective advantages for your company!

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IoT data processing – part 2

Data processing in the cloud – do you want to know how to implement serverless IoT data processing in Azure? Then check out our architecture!

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IoT data processing - part 1: Azure Synapse Analytics

Data processing in the cloud – the first article contains our architecture recommendations with Azure Synapse Analytics.

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b.telligent Blog: Reporting

Power BI or Tableau? A comparison

Projects involve a use of numerous tools such as Power BI and Tableau. But from a developer's point of view, how do they differ and how are they similar

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b.telligent Blog: Reporting

Power BI with large data quantities: Three pragmatic tips

Is your Power BI report slow and unstable due to the quantity of data? We can give you three simple tips to master the problem.

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b.telligent Blog: Data Warehouse & Business Intelligence

IoT ingestion with AWS Greengrass

IoT and Industry 4.0 are trending. We show you how to implement an edge solution with AWS Greengrass that sends machine data to the cloud.

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How to install Ray under Windows

Ray enjoys a growing popularity in the ML community. Getting it up and running under Windows can be tricky however. This blog tells you how.

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b.telligent Blog: Data Warehouse & Business Intelligence

Deployment with WhereScape RED: Best practices

This blog article presents best practices in deployment and development with WhereScape RED.

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b.telligent Blog: Data Warehouse & Business Intelligence

Deployment with WhereScape RED: Main features

This blog article shows the way to a sustainable deployment process in the context of WhereScape RED by providing tips and tricks related to prototypica

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b.telligent Blog: Reporting

The SAP Analytics Cloud – Story vs. Analytics Designer

Are you looking for the right SAC report for your business case? We explain the functionality and advantages of these development environments!

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b.telligent Blog: Data Warehouse & Business Intelligence

The Lakehouse approach - cloud data platform on AWS

Building a cloud data platform architecture on AWS? The AWS Lake House approach, with its integrated services, offers an interesting solution.

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b.telligent Blog: Data Warehouse & Business Intelligence

Extending functionality for warehouse usage

In this blog post, you'll learn how to optimize the combination of WhereScape and Snowflake and add virtual warehouse usage

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May the MarTech be with you – but how?

In the final article in our journey through MarTech, we'd like to offer you another short guide: four steps to a successful CRM strategy.

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b.telligent Blog: Data Warehouse & Business Intelligence

Using Azure to Process IoT Data – Step-by-Step Guide

Industrial Internet of Things with Azure – we’ll tell you how it’s done!

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b.telligent Blog: Data Warehouse & Business Intelligence

Parallel execution of SQL statements in LUA scripts

Exasol is known for its parallel processing of SQL statements. Here, we'll show you how you can also execute sequential LUA scripts in parallel.

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b.telligent Blog: Data Warehouse & Business Intelligence

The Essence of Data – Distillation in SQL

Does your temporal database have countless versions, without relevant changes? If so, you’ve come to the right place, because we’ll demonstrate how to d

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b.telligent Blog: Reporting

Hints and tips for faster Tableau data sources

Are you dissatisfied with the performance of your Tableau data source? This blog explains what to do to speed up those annoying waiting times.

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Is your company ready for the Internet of Things?

Wish to master the challenges of the Internet of Things? Then you need to know your IoT maturity level. Discover yours with our IoT Readiness Assessment

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What's the relationship between cookies and consent?

Consent to the use of data from websites, apps, etc. – everyone wants it, but who really documents it properly? We reveal how it should be done!

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Consent management: How can I use my customers' data?

Anyone using data needs consent to do so – preferably obtained via a system that is transparent, properly documented, convenient and automated. Is that

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