For customer data analytics teams the ability to forecast customer behaviour, predict customer churn, or an...
In this session, learn about the new additions to the AWS Glue suite of services – AWS Glue DataBrew and AWS Glue Studio. Using real life data engineering challenges, we demonstrate how each of these
To succeed in building data lakes at scale AWS customers are aligning their data governance with their data strategy and evolving in three key ways to achieve data governance at scale: moving governan
Organisations are being challenged to derive more value from data at the same time as the volume and velocity of data grows. In this session we cover how AWS powers the Lakehouse architecture by reduc
The application of analytics and its importance has grown in the last decade. Large enterprises are using analytics to make faster business decisions, improve their business planning and operations, a
Organisations are being challenged by an unprecedented scale of data as the amount of data under analysis increases from terabytes to petabytes and exabytes.
The data analyst is a critical role for companies building a data-driven culture.
Organisations today use data stores that are the best fit for the applications they build. Running analytics on data spread across applications can be complex and time consuming.
For customer data analytics teams the ability to forecast customer behaviour, predict customer churn, or anticipate a next best offer is critical.
After migrating your first business intelligence workload to AWS, you might be wondering what's next. The analytics solutions you use in the future will almost certainly be different from the ones you