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Hello, everyone, my name is Oliver Chiu, and
I do product marketing here at Microsoft.
And today we're gonna be talking about our big data and
data warehousing offerings.
So let's get started.
There are three major trends that are happening in the data space.
One of them is Big Data and IoT.
The second one is Cloud and the third one is intelligence.
And all of three of these trends are converging
on the data management solution for analytics like it hasn't before.
And so let's talk about this.
Specifically, we are in a world of connected data.
And so it's a lot different than it was in the 90s,
or even in the early 2000s.
The data is not just structured relational tables anymore.
Now it includes data from different sources,
from connected and IoT devices, from digital devices.
And so, data has been exploding.
In fact, we'll see more about this in the future part of this session.
Let's talk about data as a key strategic asset.
So we recently talked to Keystone Research which is part of
the Harvard Business school, and what they found was that
organizations that use their data to the most transformed way
actually receive $100 million more in profit than their peers.
So data was certainly seem as a key strategic asset.
We all kind of know this.
A lot of us, as we think about our data investments, we know this.
But we know that there are also inherit challenges
to the way we currently manage our data for analytics today.
And some of these challenges are that
the data characteristics have essentially changed.
Instead of again the data that's being stored in relational format
only, it's now changing to include non-relational data, as well
as data that's increasing in volume such that analyst companies like IDC
has seen that or predicted that data will grow to 44 zettabytes by 2020,
and so data is certainly growing faster than we can keep track of it.
The other challenges that we're facing is this always this trade-off
between performance and price, and so
often times we want more performance but we also don't want to pay
the increasing price that's associated with it.
The third challenge is around fragmented architectures.
Now and now, it's not just a single offering that's on premises,
with the Cloud you have to think about hybrid scenarios
as well as incorporating open source technology as part of your solution.
And so, there's fragmentation all over the place as it relates
to your architecture.
And the final challenge is the need to support new audiences and
have new insights, so no longer is it just your traditional business
analyst writing operational reports,but you also have to be
able to accommodate data scientists who are running experimentation, or
even developers who are doing intelligent applications and
may need access to data and so for sure as a technology leader
we need to incorporate all of these different new types of audiences.
And so what we need is a single solution,
a data management platform for analytics, something that can take
in relational data as well as non-relational data.
Be able to abstract the complexities of that data so
that you can do either type of processing, either data warehousing
or big data analytics, and make that available across any BI tool,
any advanced analytics solution and any language, and
finally make that available both on-premises and in the Cloud.
And so this is what our customers have been asking for and
something that Microsoft has as an offering.
And so, before I talk about Microsoft offering.
I do wanna mention that Microsoft is uniquely able
to understand this specific solution because we've done it before.
Within Microsoft, we've been addressing this challenge for
the last ten years with our own internal solution.
In fact Microsoft is running one of the largest big data implementations
in the world today.
Supporting 10,000 developers in exabytes of data under management.
And so what is a solution that we have for you?
Microsoft has a complete end-to-end, data management platform for
analytics that includes relational investments, like on SQL Server,
as well as our big data investments, such as HD insight and
Azure data league and we provide this over on-premises and
in the Cloud and in Hybrid Solutions.
So we have a complete solution for you and
so if you haven't looked at Microsoft recently, we certainly
invite you to look at our SQL Server solutions on-premises.
As well as all of our big data and advanced analytics solutions
as a part of the Cortana Intelligence Suite in the Cloud.
And these solutions collectively can encapsulate your relational,
your non-relational data.
Be able to abstract the complexities from your end user and be able to do
any sort of processing on top of it with any type of tool or solution,
or advance analytics tool that you have to gain dramatic insights.
And so the question that you have to ask yourself now is where are you?
What stage of your data investment are you on?
Are you currently implementing a traditional data warehouse?
Are you doing operational warehouses where you're gaining real-time
insights without impacting the performance?
And as you step upwards, are you now incorporating big data
as part of your data warehouse as a logical solution?
Or a free form solution of where you're doing advanced analytics and
deep learning on top of your data.
Where are you as part of this stage?
And that will help you understand
what you have to do next as part of your solution.
So these are our next steps.
And we have four for you.
The first one is that we are offering an exclusive full month
trial for Azure SQL Data Warehouse.
And so the link is right there.
We also have the ability for
you to take free training courses to learn more about big data
as well as read more about our data warehouse and big data customers.
So we welcome you to engage with us.
Again, my name is Oliver Chiu and have a great day.
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