What can Microsoft’s cloud analytics platform do for you?
18 hours in the past
Data-driven information staff in giant corporations have been on an thrilling rollercoaster journey over the previous decade.
From using the large information hype wave to realising the continued want for information warehouses, navigating by means of a myriad of quickly evolving large information instruments, and witnessing the shift to the cloud — it’s been a wild journey to say the least.
So, what’s the most recent narrative?
One main theme revolves round empowering everybody from citizen analysts to information scientists to do analytics inside a unified cloud platform.
Microsoft has been on the forefront of this motion, gaining recognition with Azure Synapse Analytics, its flagship all-in-one cloud analytics platform. Other pioneers embrace Alteryx, Dataiku and Snowflake.
Drawing on my expertise of the previous six years as a knowledge scientist and engineer within the information platforms of considered one of Australia’s largest banks, I’ll briefly discover the next:
- Big information journey: Understanding the information structure journey many corporations have undergone over the previous decade.
- Microsoft’s play: How Microsoft delivered an ace with Azure Synapse.
- Unpacking Synapse: What can it do? We’ll discover 7 use instances for information analysts, information engineers and information scientists.
- What’s forward: Heard of Microsoft Fabric? It’s fairly thrilling.
My objective with this text is to assist analysts, engineers, and information scientists working in giant corporations uncover one thing relatable in their very own enterprise information journey and achieve a brand new understanding of why corporations are making particular selections with their information stack.
Let’s dive in!
To respect why Microsoft launched Azure Synapse Analytics, let’s delve into the enterprise information journey and the challenges confronted by giant organisations prior to now 5–10 years.
I’ll go into two particular observations.
