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.
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.
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.
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.
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.