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hi this is a demo of big id's data
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intelligence platform focused on catalog
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capabilities
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big id is the data intelligence platform
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to know and manage your data big id is
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unique because the platform is built on
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a core discovery foundation with machine
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learning to know your data
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big-id is also unique because the
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platform sits at the intersection of
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privacy security and governance
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and it all starts with a machine
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learning augmented catalog
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for example big id tackles governance
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using machine learning for deep
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discovery to add context at scale to
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know what your data is and how it is
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related and connected to other data
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sources in your environment
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because you can't govern data unless you
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know what your data is and where it is
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and what it means or you can't govern
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what you don't know
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to know your data big id adds
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classifiers and tags to identify all of
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your data objects
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customers can automatically apply
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attributes that add context tag objects
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that include sensitive information and
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classify objects by data type and even
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custom sensitivity levels
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the big-id catalog is privacy aware by
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identifying sensitive information and
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even going a step deeper to add policy
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tags and notifications for regulation
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compliance
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with big id data users can see what
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their data is if it is sensitive and if
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they are at risk of violating any
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policies like ccpa or gdpr
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bridging into security
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the big id catalog shows what data
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objects are duplicates or have open
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access
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this is important for risk minimization
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to identify and remediate any data that
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is duplicate or sensitive data that has
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open access
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big id say the catalog provides that
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insight to take action to remediate and
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then audit to ensure the action was
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taken all within the big id platform
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for a visual representation of big id
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this image illustrates how big id is
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reimagining the machine learning data
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catalog
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the base layer here illustrates all of
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the big-id connectors to connect your
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data
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big-id's data intelligence platform
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connects to any and all data source so
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structured or unstructured
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semi-structured data the data can live
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in cloud on-prem and hybrid environments
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and even scanning data pipelines
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this is a huge differentiator for big id
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because the platform truly connects to
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any data source
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it is unique to be able to manage
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structured data with unstructured data
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for your complete environment imagine
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being able to scan and gain intelligence
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about all the files emails s3 buckets
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salesforce notes and more in a single
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platform
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the middle layer is the discovery in
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depth this is what big id calls its four
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cs and these are four lenses catalog
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classify correlate and cluster
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lenses to discover define and know your
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data to know what your data is and how
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it's related to other data in your
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environment and that way we can apply
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deeper insight and understanding
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the top layer is how you action your
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data this represents the layer of apps
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on top of the platform
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and you can choose which apps you want
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to apply for example add a data quality
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app to measure and manage the quality of
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your data and then display those data
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quality scores in the catalog for users
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to choose data assets with context and
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quality
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or maybe add a data retention app to set
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retention policies to know when data
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should be archived or deleted or to
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identify data that must be saved for a
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legal hold
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the apps i'll integrate with the
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platform to provide control from a
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single point to consistently manage all
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of your data and audit actions and tasks
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the apps include a variety of
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out-of-the-box functions and automation
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while enabling customization so for
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example you might want to set custom
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policies based on priorities for your
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organization
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these are a series of critical
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differentiators for big id we'll focus
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on just a couple
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first um let's notice that the coverage
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of big id is broad so that means that
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big id can
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can scan and add context to any kind of
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data source that's structured or
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unstructured in the cloud or on-prem so
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data at rest or emotion any kind of data
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that you have in your environment big id
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can automatically scan and classify and
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put into a single catalog view so you
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can manage all of your data in one view
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with all consistent um consistent rules
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and betty has
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differentiator in context that we can
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discover in depth is the core platform
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and so we have customized views to know
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your data big id is going to add
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different kinds of machine learning and
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even has a patented machine learning
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engine to know your data with more
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context see how split in your
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environment and discover insights that
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you wouldn't have otherwise had
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that's interesting let's transition over
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to the live demo and talk about some of
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the rest of these differentiators
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okay now we are in the big id platform
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as you can see this is the dashboard
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home screen you can see and some sources
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here you can click through you can also
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see the physical location of data in the
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environment
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the first thing we're going to talk
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about here in the demo is the content
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coverage so as i mentioned big id is
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able to find all of your data sources
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and types so it could be um structured
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or unstructured data it could be on the
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cloud on-prem wherever it is big id can
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connect to it and add it to the catalog
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with automated scanning and discovery so
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um you can see here in our data
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environment we have a whole selection of
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a variety of data sources and types and
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i can also very easily add a new data
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source
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here are a selection of um
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pre-configured connectors to make it
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super easy to connect your data and as
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you can see we have a whole variety of
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different data sources and types on-prem
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cloud structured unstructured data it
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all exists with a very easy to use
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connection to import all of your data
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into the catalog for a single view of
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your data environment
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next up we're talking about connectors
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profiling and lineage so big id has
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native functionality to visualize how
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data is connected i'm sure you're all
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aware that as far as lineage there are
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your lineage providers that have very
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sophisticated lineage tools and big id
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is able to ingest that lineage content
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and then add some um
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add context to lineage so now you can
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see that lineage with context in big id
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another way you can think about lineage
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here is with this data processing and
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sharing here's just an example of how we
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share some lineage and big id about just
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how data flows so for example these are
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all processes where we know that data is
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moving you know from place to place
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within an organization and i'm such a
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data and map of how data is flowing
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through an organization it's just
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another kind of view of lineage in terms
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of processing and data flows
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for profiling the way that we do data
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profiling is i can use the catalog
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and i can see what kind of um you know
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what my data looks like so for example
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um let's look here at these attributes
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name so i want to look at everything
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that big id has determined has the
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attribute of name and you can see here i
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have a whole variety of different data
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sources where name came up which is not
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surprising so if i look at this for
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example marketing
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i can see that right away if i'm looking
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for um
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you have some profiling information just
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to know about this data i can see right
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away this marketing contains pi that
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means it contains some sensitive
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information i can see it was tagged as
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high risk i can see more information
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that was basically tagged
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directly from big id with automated
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scanning and context i can see the
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attributes so then this marketing data
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object i can see it has these different
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attributes connected with
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different classifiers for countries and
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addresses and names which is also had to
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be expected in a marketing database
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i can see different columns that are
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included in this data set so city and
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country i can see what type of
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characters i can see the attributes and
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tags that they are applied here
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and then i can see even a preview of the
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data to get an idea about what the data
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looks like to determine if it's what i'm
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really looking for in my data and what
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um what the true data
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example is i can also interact with the
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data another way if i see that there's
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something here that doesn't look quite
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right to me i can collaborate with the
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data owners and i can report an issue
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about it to get resolved or i can set
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myself here as a watcher of the data to
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get alerts for everything changes with
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this data set that i am interested in
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for data curation here we're going to
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add context data the way that big id
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does that is kind of our core function
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right so we have correlation
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um and in correlation we're going to add
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context by seeing
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where the
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where data is um
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is related to other data in our
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environment so for example here in our
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email suggestion we have
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email here medical and i can see that it
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is here in our patient information and
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in our notes information this is letting
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me know that the this email attribute is
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related to these different um
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these different data sources as well and
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that i can click through to more of that
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too it's all interactive
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the way that we're going to interact
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with our data is here in the cluster
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analysis so i can get more curation i
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can get more context from my data here
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and cluster analysis by being able to
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see what data is duplicate so for
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example in this employee information
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this is all groups of similar data i can
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see based on how big the bubble is and
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how far away it is from other bubbles
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how closely related it is to other data
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types and sources and then if i want to
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click into my cluster analysis i can
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look into the customer to click into the
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cluster and i can see um
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you know some let me see queries i can
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see top keywords attributes i can see
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objects for data source i can get more
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information about the things that live
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in that in that bubble things that are
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similar information which is important
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to know if i'm looking for something to
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know if i have duplicate data so i know
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that i'm using the right one or if i'm
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doing a cleanup or if i'm doing a cloud
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migration for example to know what data
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to to migrate to know what is in my
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environment and what i need to to know
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about it
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i want to show you also classification
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big id is going to analyze your data not
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just from the metadata but the actual
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physical data we're going to analyze
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that and determine what it is and then
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we're going to add classifier so you can
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use a whole selection of big id out of
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the box classifications classifiers or
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you can set your own custom classifiers
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based on what is important
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in your organization
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we're going to talk next about the
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search functionality once we have all of
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this data and it's all been
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um reported into it's all in found a big
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id
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i can search here in the catalog
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and find that data that i'm looking for
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i can either search using these quick
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filters here at this side or i can
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search using a quick
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keyword here i can go back and see my
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recently viewed object so i want to
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continue working on a project maybe i
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was working on earlier or i can type in
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a keyword and see and look for some
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account as my keyword i can see policies
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and policies tables files to see
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all of the different
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different data objects or policies or
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data um the objects that exist in big id
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related to my keyword search
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for data access
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again if we go back to the catalog um
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and we look back at any of that
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information so for example you're back
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in that marketing
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we're looking at earlier today i can go
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here to marketing and i can x at any
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point you'll see this export is here and
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i can export data to um to have a report
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of the information i'm looking at so if
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i'm looking at the os of columns i can
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export and i can see that to access to
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to use it to integrate with other
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solutions as well
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next on our list we talk about privacy
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controls so we have privacy
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notifications just like here contains pi
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that just means it contains some
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sensitive information depending on how
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you define that um privacy controls
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means that i can see what data is
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sensitive so i can determine how to
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protect it who should have access to it
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for example um we can do
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things like connecting externally to
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snowflake and in snowflake we have a way
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to say this data was determined to be
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sensitive in big id which means that in
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snowflake you may need to make sure
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we can set some role based access
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control and make sure that
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only people who should see the data are
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able to see it and everyone else if
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you're asked to see that data you get
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masking so you get masked data and it
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happens dynamically so as um imagine
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this data is flowing into your snowflake
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environment being able to determine what
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is sensitive who to have access and then
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having that all enabled automatically
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which is great because it means you're
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going to enable people who should have
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access to do very fast access for
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analytics and you're going to
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make sure your data is protected people
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who don't need to have access shouldn't
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see it
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you also have access controls within big
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id so under administration
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you can see here we have access
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management and that means we're able to
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add different users as we add users we
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can also assign them a role and then we
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can go to their roles and determine
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based on their role
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we can define
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at a very granular level what that user
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is able to do or not do it allows us to
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kind of give groups of users similar
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roles and similar access to have similar
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rights within the system for the big id
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application itself
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finally pricing and support
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so on support um big id offers
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award-winning customer support we have
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staff around the globe we offer
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continuous coverage for our customers as
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far as pricing pricing is going to be
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based on bands of data sources with apps
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so
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packages are really customized based on
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your needs um you can
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have more or less data connected and you
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can have more or less applications so
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these are all the different kinds of
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applications that you can choose from
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and you can also browse the marketplace
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to find more applications that you might
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want to add to take action on your data
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in big id to learn more about any of
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these functions i recommend that you
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contact us at bigid.com
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and in summary i want to leave you with
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the idea that big id is the platform to
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know your data it's based on a core
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discovery we can connect to all your
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data sources structured unstructured
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on-prem in the cloud doesn't matter
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where it is or what it is we can connect
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it all in big id you can see it all in
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the catalog and this is really
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significant because if you imagine
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trying to do all of this manually
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discovering your data attacking it i'm
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applying policies being able to
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determine what is sensitive if you try
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to do it manually it's almost impossible
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with the rate of data growth and change
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that we're seeing so that's why everyday
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that's why big id is reimagining data
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governance with a data catalog that
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connects to all our data sources we
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deliver automated scanning and we add
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context at scale to know your data
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have any more questions we'd be happy to
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talk with you please contact us or check
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out bigid.com for more information and
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thanks for watching
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you
