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KEVIN NELSON: Hi.
I'm Kevin Nelson, a developer advocate at Google Cloud.
And today I'm going to share how Google Cloud BigQuery can
help you unlock new value from your SAP data.
Let's get started.
So, what exactly is BigQuery?
BigQuery is Google Cloud's serverless,
highly-scalable, industry-leading cloud data
warehouse.
It helps you easily and cost-effectively
combine both SAP and other data sets
to make faster, better business decisions.
What sort of things are possible with BigQuery?
SAP enterprises around the world are
leveraging BigQuery to solve business problems that
were previously unattainable due to limitations
in traditional data warehousing technologies.
For example, by consolidating data sets
and leveraging the advanced analytics capabilities BigQuery
has to offer, retailers are solving
for shelf-outs with predictive forecasting,
healthcare companies are expediting customer service
with automated email classification,
and financial services companies are
generating more personalized banking advice.
So what makes BigQuery so different?
Well, here are a few key features
that make it pretty special.
First, because it's serverless, you
don't have to worry about configuring
the system, performance tuning, resource
provisioning, reliability, or even
planning for future growth.
BigQuery manages all of that for you
and can instantly scale to handle all your needs.
This means you can spend 100% of your time on analysis
and gathering new insights to drive innovation
for your business.
BigQuery takes advantage of Google's
full stack innovations, from hardware and storage
to the network, all the way to the software that
has been used to analyze data for Search for over a decade.
With BigQuery's unique architecture,
you can run standard SQL queries on terabytes of data in seconds
and even petabytes of data within just a few minutes.
BigQuery also comes with machine learning built right in.
BigQuery ML is unlocking machine learning
for millions of data analysts.
BigQuery ML allows data analysts, not just
data scientists, to build and use custom machine
learning models using simple SQL statements directly
within BigQuery.
This has been a game changer for many organizations.
BigQuery also makes it easy to join your data with other data
sets, some available directly from Google,
like search trends and ads, and other public data
sets like NOA weather data.
In fact, the Google Cloud marketplace
has over 200 curated data sources
ready to be leveraged directly in BigQuery.
And there's the new integrated Analytics Hub,
providing an extended data exchange platform.
Finally, BigQuery has proven value for SAP enterprises.
Global market intelligence firm IDC released a study in 2021
showing that the average SAP business reported
that their cost of data warehouse operations
was reduced by more than half while delivering business
reports 77% faster and making analytics teams 20%
more productive.
Altogether, this resulted in a three-year return
on investment of greater than 300%.
Now that we better understand the value of BigQuery,
just how easy is it to integrate and get started with SAP data?
As an open platform, BigQuery can integrate with SAP
using both Google Cloud tooling and also partner tooling
from SAP or others.
Let's take a look at one option that leverages investment
in a commonly-used SAP replication technology--
SLT.
By using our BigQuery Connector for SAP,
you can leverage your existing investment in SAP SLT
to connect directly to BigQuery.
Your SAP data is replicated in near-real time,
literally within a couple of seconds.
To learn more about the BigQuery Connector for SAP,
check out this earlier video in the series,
linked in the description below.
But what can you do after you've replicated data into BigQuery?
This is where our Google Cloud Cortex Framework comes in.
Google Cloud Cortex is a framework
to accelerate business outcomes with less risk, complexity,
and cost by providing endorsed solution content,
including reference architectures, deployment
accelerators, and integration services for common business
scenarios.
The goal is to help you accelerate business outcomes
and get up and running quickly with Google Cloud.
Cortex Data Foundation provides a rich set of building blocks
and templates for SAP enterprises
looking to modernize with our data cloud,
including predefined operational data marts, data processing
scripts, machine learning templates,
and plug-and-play reporting samples for common business use
cases, all leveraging BigQuery.
This means that once you've replicated data
from SAP into BigQuery, you can implement our Data Foundation
content and get ready to run data models
and reports for many common business use cases.
A few are highlighted here.
Stay tuned for more details on our Google Cloud Cortex
Framework and Data Foundation for SAP
in a related video in this series.
OK.
That was a lot of information.
So let's do a quick recap.
By leveraging BigQuery, you can integrate your SAP data
however you like, for more insights at scale
using leading data warehousing capabilities with proven
value for SAP enterprises.
By easily accessing new data sets directly in BigQuery,
you can help create new insights across your organization
and give more power to your data analytics users
in a secure way.
Finally, we help you get started quickly by providing advanced
capabilities like BigQuery Machine Learning built in with
standard SQL, as well as out-of-the-box data models
and reporting templates for common business scenarios.
All this allows you to make better, faster business
decisions.
I hope you found this video useful.
It's just one in a series about how
Google Cloud provides unique benefits for SAP customers.
You can find the links to the other videos
in the series, and more information about Cortex
and BigQuery, linked in the description below.
Thanks for listening.
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