November 8th, 2023, by
Processing and Analysing real time transactional data in AWS using API, DynamoDB and Glue

This blog talks about how data can be processed in AWS using some of its serverless and API services.

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September 7th, 2023, by
Merging Worlds: How Integration Developers and Data Engineers are Unifying in Enterprise Architecture

In the ever-changing world of architecture, it's becoming increasingly apparent that traditional roles and responsibilities are starting to merge.

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February 17th, 2023, by
Social Media Analytics in Pharma-Use Case (Part-1)

With the help of social media data, we will explore several different aspects of a medicine in this post.

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July 15th, 2022, by
Considering a Cloud Center of Enablement (CCoE)

Accelerating the development and adoption of new knowledge and expertise and promoting standardization are common reasons for establishing a CCoE

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June 23rd, 2022, by
Azure Synapse Pathway or how to easily migrate your Data Warehouse

Here's a preview solution that comes to make life easier for organizations that want to modernize their data warehouses by moving them to the Microsoft Cloud.

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June 20th, 2022, by
Azure Table Storage or Azure CosmosDB Table Storage

The title presents two components that sound very similar, although each one has certain unique characteristics and it is thanks to them that they allow a very wide scope of use cases to be covered. 

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February 21st, 2022, by
Whitepaper – Choosing your data service in cloud for migrating datasets

In this whitepaper, we present some best practices that can be applied to various Data Migration scenarios to avoid some common pitfalls.

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October 15th, 2021, by
Extract nested JSON data from an API and load into Azure Synapse Analytics using Azure Data Factory

In this blog, I will show you step-by-step of extracting nested JSON data from REST API and loading into Azure Synapse Analytics using Azure Data Factory.

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December 22nd, 2020, by
Automated Machine Learning: Hands-off production maintenance for the busy entrepreneur

Machine learning is getting more traction. The willingness of companies to use ML models in production for their daily business is growing.

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July 27th, 2020, by
Don’t test with production data

Many believe that testing is not representative when we have not tested with production data. It’s hard to build confidence in a solution if people have not seen it behave correctly with actual production data. But testing with production data is often a bad idea.

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June 15th, 2020, by
Machine Learning service for comments sentiments analysis

In this article, I will show how to use ML.Net (Machine Learning framework for .Net developers) to create an API service that will analyze comments sentiments (e.g. positive or negative sentiment of the comment).

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May 5th, 2020, by
Bring Lakehouse in your life and take your company’s analytical capabilities to the next level

Looking for a way to integrate traditional BI with Advanced Analytics into a single environment? Take a look at Lakehouse, it comes with the good from both Worlds.

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