New data management service helps customers
catalog, discover, share, and govern data across their
organization
ENGIE, Fox Corporation, and Itaú among
customers excited to use Amazon DataZone
At AWS re:Invent, Amazon Web Services Inc. (AWS), an Amazon.com,
Inc. company (NASDAQ: AMZN), today announced Amazon DataZone, a new
data management service that makes it faster and easier for
customers to catalog, discover, share, and govern data stored
across AWS, on-premises, and third-party sources. With Amazon
DataZone, administrators and data stewards who oversee an
organization’s data assets can manage and govern access to data
using fine-grained controls to ensure it is accessed with the right
level of privileges and in the right context. Amazon DataZone makes
it easy for engineers, data scientists, product managers, analysts,
and business users to access data throughout an organization so
they can discover, use, and collaborate with data to derive
insights. To learn more, visit aws.amazon.com/datazone.
Organizations today collect petabytes, and even exabytes, of
data spread across multiple departments, services, on-premises
databases, and third-party sources (e.g., partner solutions and
public datasets). Before organizations can unlock the full value of
this data, administrators and data stewards (i.e., data producers)
who generate and manage data need to make it accessible, while
maintaining control and governance to ensure it can only be
accessed by the right person and in the right context.
Simultaneously, employees across the company (i.e., data consumers)
want to discover and analyze information from data producers to
drive their decision making. Organizations must balance the need
for control, to ensure data remains secure, with the need for
access, to drive new insights, but it is challenging to implement
governance policies that take into account the variety of data,
departments, and use cases across an organization. Some businesses
build catalogs to curate their information, but these systems are
time consuming to maintain, require data producers to manually
label each dataset with additional context (e.g., origin and
description) to make it discoverable, and lack built-in access
controls to make governance simple. Organizations also struggle to
enforce a consistent data taxonomy, and individual data producers
must keep their own information in sync, which makes it hard to
search for data across an organization and can lead to information
becoming stale. Even if a data consumer finds the information they
need, they do not have a simple way to request access from the
owner directly from the catalog, to load the data into analytics
services, and to collaborate with others. As a result,
decision-makers cannot get the information they need in a timely
manner, or they may make poor decisions based on incomplete or
outdated data.
Amazon DataZone is a new data management service that makes it
easier for data producers to manage and govern access to data and
enables data consumers to discover, use, and collaborate on data to
drive business insights. Data producers use Amazon DataZone’s web
portal to set up their own business data catalog by defining their
data taxonomy, configuring governance policies, and connecting to a
range of AWS services (e.g., Amazon S3 and Amazon Redshift),
partner solutions (e.g., Salesforce and ServiceNow), and
on-premises systems. Amazon DataZone removes the heavy lifting of
maintaining a catalog by using machine learning to collect and
suggest metadata (e.g., origin and data type) for each dataset and
by training on a customer’s taxonomy and preferences to improve
over time. After the catalog is set up, data consumers can use the
Amazon DataZone web portal to search and discover data assets,
examine metadata for context, and request access to datasets. When
a data consumer is ready to start analyzing data, they create an
Amazon DataZone Data Project—a shared space in the web portal where
users can pull in different datasets, share access with colleagues,
and collaborate on analysis. Amazon DataZone is integrated with AWS
analytics services, such as Amazon Redshift, Amazon Athena, and
Amazon QuickSight, which enables data consumers to access these
services in the context of their data project, so they do not need
to manage separate login credentials and their data is
automatically available in these services. Amazon DataZone also
provides application programming interfaces (APIs) to integrate
with custom solutions or partners like DataBricks, Snowflake, and
Tableau, so customers can easily publish, search, and work with all
their data assets.
“Good governance is the foundation that makes data accessible to
the entire organization, but we often hear from customers that it
is difficult to strike the right balance between making data
discoverable and maintaining control,” said Swami Sivasubramanian,
vice president of Databases, Analytics, and Machine Learning at
AWS. “With Amazon DataZone, customers can use a single service that
balances strong governance controls with streamlined access to make
it easy to find, organize, and collaborate with data. Amazon
DataZone sets data free across the organization, so every employee
can help drive new insights to maximize its value.”
ENGIE is a global energy company with a focus on renewable
energy and low-carbon distributed energy infrastructures to help
its clients achieve their decarbonization targets. “At ENGIE, our
key priorities are unifying data across our businesses and allowing
data sharing to improve our performance and create value at scale.
To address this, we first built a Common Data Hub (CDH) internally
to solve this challenge to a great extent,” said Gregory Wolowiec,
chief technology officer at Data@ENGIE. “Rather than building and
maintaining a platform to support our data sharing and governance
needs, over the last six months we have been working with the
Amazon DataZone team, as a beta customer, providing input into
creating an AWS native service and are looking forward to using
Amazon DataZone to disseminate data throughout the organization and
gain simplified access to AWS analytics services and governance
tooling. This will empower our analysts and
line-of-business-leaders to create innovative projects and make
data-driven decisions. We are excited to integrate Amazon DataZone
into our business operations to take advantage of its robust
capabilities to enable data sharing and value creation with data at
scale.”
Fox Corporation is a leading producer and distributor of content
through its sports, news and entertainment brands. "At FOX,
unifying data across our businesses and creating a trusted ability
to securely discover, publish, access, and share the data at scale
is critical. We want to enable business teams to be able to
discover and share data securely and without needing to do deep
technical work," said Alex Tverdohleb, vice president of Data
Infrastructure at Fox Corporation. "Amazon DataZone will help
streamline and automate our data discovery and sharing—with the
right governance—so we can ensure it is accessed at the right time
and with the right tools.”
Itaú is a global financial services firm and the largest private
sector financial institution in Latin America. “Being data-driven
is one of our key corporate goals, but we have to constantly
balance access to data with our governance and compliance policies
across our use of AWS analytics services, which makes it hard for
teams to move quickly,” said Roberto Figueira, head of Data and
Analytics Engineering Platform at Itaú Unibanco. “We are excited to
test Amazon DataZone because it will simplify data governance and
make data access across business units much easier. With Amazon
DataZone, we will be able to quickly and easily set up fine-grained
access for teams of analysts, engineers, and data scientists to
experiment with data hypotheses across various business use
cases.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud offering. AWS has been
continually expanding its services to support virtually any cloud
workload, and it now has more than 200 fully featured services for
compute, storage, databases, networking, analytics, machine
learning and artificial intelligence (AI), Internet of Things
(IoT), mobile, security, hybrid, virtual and augmented reality (VR
and AR), media, and application development, deployment, and
management from 96 Availability Zones within 30 geographic regions,
with announced plans for 15 more Availability Zones and five more
AWS Regions in Australia, Canada, Israel, New Zealand, and
Thailand. Millions of customers—including the fastest-growing
startups, largest enterprises, and leading government
agencies—trust AWS to power their infrastructure, become more
agile, and lower costs. To learn more about AWS, visit
aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Amazon strives to
be Earth’s Most Customer-Centric Company, Earth’s Best Employer,
and Earth’s Safest Place to Work. Customer reviews, 1-Click
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