Blogs about

Alteryx and Snowflake, the end-to-end platform for the data lifecycle

Alteryx, Cloud Experience, Snowflake

We all know data is the new oil, but for many companies more data often means more problems. Luckily it doesn’t have to be this way. Discover how Alteryx and Snowflake help you manage your data.

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Level up your data and analytics with Alteryx & Snowflake

Alteryx, Cloud Experience, Snowflake

It is a widely recognized truth that data is an increasingly valuable asset for organizations. Data is being generated and captured across systems in greater volumes and at increasing levels of granularity. At the same time, more users are demanding access to this data to drive insights and impactful business outcomes. Find out how to create a data-driven culture in your organization.

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5 AI Power BI functionalities tried and tested

Business Intelligence, Power BI

Power BI is always trying to make it easier for anyone to start analyzing their data. That is why they are constantly producing new AI tools that are supposed to help you gain insight into your data. In this blog I picked 5 of these to see if they do make data analysis easier.

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Serverless data pipelines: ETL workflow with Step Functions and Athena

Amazon Web Services, Cloud Experience, Real-time data
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Aeriel view of highway

Real-time Data Processing with Kinesis Data Analytics

Amazon Web Services, Cloud Experience, Real-time data

Traditionally, batch-processing analytics was considered adequate as most BI users could meet their business goals by looking at weekly or monthly business numbers. Recently, there has been a shift to real-time reporting. In this blog we will show you how to achieve real-time data processing, using AWS Kinesis Data Analytics.

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Picture of traffic at night

Serverless data transform with Kinesis

Amazon Web Services, Cloud Experience, Real-time data

The goal of this blog is to explore the use of the Amazon Kinesis Data Firehose service to load raw streaming data events on an Amazon S3 bucket (to create a data lake) in a format that lends itself to efficient batch processing. This way you will be able to perform analytics on your historical data as well as on your real-time data.

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