AWS Summit Online ANZ 2021 | Data analyst
Data engineering made easy
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
Data governance at scale on AWS
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
Lakehouse architecture: Simplifying infrastructure and accelerating innovation
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
Making the event-driven enterprise a reality using AWS streaming data services
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
Harness the power of data with AWS analytics
Organisations are being challenged by an unprecedented scale of data as the amount of data under analysis increases from terabytes to petabytes and exabytes.
Reimagine the role of the data analyst
The data analyst is a critical role for companies building a data-driven culture.
Cloud-native data virtualisation on AWS
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.
From descriptive to predictive customer data analytics
For customer data analytics teams the ability to forecast customer behaviour, predict customer churn, or anticipate a next best offer is critical.
Modernising your legacy data warehouse on AWS
Are you interested in moving from a legacy data warehouse to modern data platform but aren’t sure where to start? In this session we share how others have made the move, the migration tools offered by
Re-thinking analytics architectures in the cloud
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
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