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1 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
What the #$* is a Business
Catalog and Why You Need It!
June 28, 2016
Apache Atlas
2 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Disclaimer
This document may contain product features and technology directions that are under development,
may be under development in the future or may ultimately not be developed.
Project capabilities are based on information that is publicly available within the Apache Software
Foundation project websites ("Apache"). Progress of the project capabilities can be tracked from
inception to release through Apache, however, technical feasibility, market demand, user feedback and
the overarching Apache Software Foundation community development process can all effect timing
and final delivery.
This document’s description of these features and technology directions does not represent a
contractual commitment, promise or obligation from Hortonworks to deliver these features in any
generally available product.
Product features and technology directions are subject to change, and must not be included in
contracts, purchase orders, or sales agreements of any kind.
Since this document contains an outline of general product development plans, customers should not
rely upon it when making purchasing decisions.
3 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
The Problem
• Low confidence in Data - Fragmentation of metadata
across the enterprise
• Duplicate or MIA – Incorrect or missing classification
• Rigid Governance – Traditional MDM tools are not
agile, cannot keep up with rate of data change
4 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Atlas Solution
• Cross component lineage: Dynamically capture dataset
lineage
• Single source: Combine and centralize information about
your data
• Dynamic Access Control: Integration with Ranger
• Taxonomy (Business Catalog!): Common Business
Language. Hierarchically organized – No dupes !
5 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
What is the Atlas Business Catalog ?
 Organize data assets along business terms
• Authoritative: Hierarchical Taxonomy Creation
• Agile modeling: Model Conceptual, Logical,
Physical assets
• Definition and assignment of tags like PII
(Personally Identifiable Information)
 Comprehensive features for compliance
• Multiple user profiles including Data Steward
and Business Analysts
• Object auditing to track “Who did it?”
• Metadata Versioning to track ”what did they
do?”
Key Benefits:
Organize data assets
along business terms
Impact analysis,
Compliance, Acceptable
use
Faster Insight
6 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Taxonomies (catalog) enables:
• Search / Discovery – Business catalog of
conceptual, logical and physical assets
• Security --Dynamic metadata based Access
control
7 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
We conduct open-ended user interviews so that we can learn more
about who are users are and what their needs are. This helps us
validate whether or not we’re solving the right problem.
Research: Focused on Hadoop
8 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
We test our prototype in InVision - a click through prototyping tool
that allows users to interact with static mockups.
Usability Testing
9 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Principle Roles & Activities
• Data Steward – Curator, responsible
for catalog veracity
• Data Scientist – Analyst, primary
consumer of Business Catalog
• Administrator – Role management only
• Data Engineer – Data ingress and
egress, semantic data quality
• 50% - 80%+
Time spend
looking for data
• Profit Center • Primary
User of Atlas
• Enables
Scientist
Goal: < 25% spent on
finding data
=
Empowering scientist
to spend their time
uncovering insights --
faster
10 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Key Concepts
Business Taxonomy (Catalog)
The practice and science of classification of things or
concepts, including the principles that underlie such
classification. The business organization model is
hierarchical, making it authoritative with no duplication.
Data Lineage (Provenance)
Data lineage is defined as a data life cycle that includes the
data's origins and where it moves over time. It describes what
happens to data as it goes through diverse processes. It helps
provide visibility into the analytics pipeline and simplifies
tracing errors back to their sources.
Tags: Traits vs. Labels vs. Business Taxonomy
Atlas has Tags that are authoritative and prevent duplication.
Tag can span different parts of the business taxonomy. A tag
PII can be used in HR as well Finance or Sales.
Benefits:
A view of data assets
organized by business
language
Impact analysis,
Compliance, Acceptable use
Common tag though
Hadoop components
11 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Walk Through
• User Setup Atlas via Ranger
• Create & Browse Taxonomy of Business Terms
• Create & Browse Tags
• Search for Assets
• Classify Assets with Business Terms
• Associate Assets with Tags
Summer GA
12 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Atlas Value
• Designed for Hadoop at platform, not application level
• High Confidence data in Hadoop for regulated verticals
• Compliance and business objectives aligned to data
organization
• Faster discovery for analysts – reduce time to value
• Agile and adaptable – ensures information is current by
native connectors
• Dynamic protection with Ranger in simple audited policies
13 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
In Flight:
Feature patches being review & committed
• Object Versioning UX – Current state of object active or
deleted
• Comment Tab – User can add comments for
collaboration
• DQ / Profile Notes Tab – Populate by 3rd parties or by
Steward via UI
14 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Additional Atlas Sessions
• Top 3 Big Data Governance Issues:
Tuesday 4:10PM @ Room 212
• Extend Governance in Hadoop with the Atlas
Ecosystem: integrations with partners Waterline,
Trifacta and Attivo:
Thursday 4:10PM @ Room 210A
15 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Learn More:
• Hortonworks links: http://hortonworks.com/solutions/security-and-
governance/
• Tutorials: https://github.com/hortonworks/tutorials/tree/atlas-ranger-
tp/tutorials/hortonworks/atlas-ranger-preview

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What the #$* is a Business Catalog and why you need it

  • 1. 1 © Hortonworks Inc. 2011 – 2016. All Rights Reserved What the #$* is a Business Catalog and Why You Need It! June 28, 2016 Apache Atlas
  • 2. 2 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Disclaimer This document may contain product features and technology directions that are under development, may be under development in the future or may ultimately not be developed. Project capabilities are based on information that is publicly available within the Apache Software Foundation project websites ("Apache"). Progress of the project capabilities can be tracked from inception to release through Apache, however, technical feasibility, market demand, user feedback and the overarching Apache Software Foundation community development process can all effect timing and final delivery. This document’s description of these features and technology directions does not represent a contractual commitment, promise or obligation from Hortonworks to deliver these features in any generally available product. Product features and technology directions are subject to change, and must not be included in contracts, purchase orders, or sales agreements of any kind. Since this document contains an outline of general product development plans, customers should not rely upon it when making purchasing decisions.
  • 3. 3 © Hortonworks Inc. 2011 – 2016. All Rights Reserved The Problem • Low confidence in Data - Fragmentation of metadata across the enterprise • Duplicate or MIA – Incorrect or missing classification • Rigid Governance – Traditional MDM tools are not agile, cannot keep up with rate of data change
  • 4. 4 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Atlas Solution • Cross component lineage: Dynamically capture dataset lineage • Single source: Combine and centralize information about your data • Dynamic Access Control: Integration with Ranger • Taxonomy (Business Catalog!): Common Business Language. Hierarchically organized – No dupes !
  • 5. 5 © Hortonworks Inc. 2011 – 2016. All Rights Reserved What is the Atlas Business Catalog ?  Organize data assets along business terms • Authoritative: Hierarchical Taxonomy Creation • Agile modeling: Model Conceptual, Logical, Physical assets • Definition and assignment of tags like PII (Personally Identifiable Information)  Comprehensive features for compliance • Multiple user profiles including Data Steward and Business Analysts • Object auditing to track “Who did it?” • Metadata Versioning to track ”what did they do?” Key Benefits: Organize data assets along business terms Impact analysis, Compliance, Acceptable use Faster Insight
  • 6. 6 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Taxonomies (catalog) enables: • Search / Discovery – Business catalog of conceptual, logical and physical assets • Security --Dynamic metadata based Access control
  • 7. 7 © Hortonworks Inc. 2011 – 2016. All Rights Reserved We conduct open-ended user interviews so that we can learn more about who are users are and what their needs are. This helps us validate whether or not we’re solving the right problem. Research: Focused on Hadoop
  • 8. 8 © Hortonworks Inc. 2011 – 2016. All Rights Reserved We test our prototype in InVision - a click through prototyping tool that allows users to interact with static mockups. Usability Testing
  • 9. 9 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Principle Roles & Activities • Data Steward – Curator, responsible for catalog veracity • Data Scientist – Analyst, primary consumer of Business Catalog • Administrator – Role management only • Data Engineer – Data ingress and egress, semantic data quality • 50% - 80%+ Time spend looking for data • Profit Center • Primary User of Atlas • Enables Scientist Goal: < 25% spent on finding data = Empowering scientist to spend their time uncovering insights -- faster
  • 10. 10 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Key Concepts Business Taxonomy (Catalog) The practice and science of classification of things or concepts, including the principles that underlie such classification. The business organization model is hierarchical, making it authoritative with no duplication. Data Lineage (Provenance) Data lineage is defined as a data life cycle that includes the data's origins and where it moves over time. It describes what happens to data as it goes through diverse processes. It helps provide visibility into the analytics pipeline and simplifies tracing errors back to their sources. Tags: Traits vs. Labels vs. Business Taxonomy Atlas has Tags that are authoritative and prevent duplication. Tag can span different parts of the business taxonomy. A tag PII can be used in HR as well Finance or Sales. Benefits: A view of data assets organized by business language Impact analysis, Compliance, Acceptable use Common tag though Hadoop components
  • 11. 11 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Walk Through • User Setup Atlas via Ranger • Create & Browse Taxonomy of Business Terms • Create & Browse Tags • Search for Assets • Classify Assets with Business Terms • Associate Assets with Tags Summer GA
  • 12. 12 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Atlas Value • Designed for Hadoop at platform, not application level • High Confidence data in Hadoop for regulated verticals • Compliance and business objectives aligned to data organization • Faster discovery for analysts – reduce time to value • Agile and adaptable – ensures information is current by native connectors • Dynamic protection with Ranger in simple audited policies
  • 13. 13 © Hortonworks Inc. 2011 – 2016. All Rights Reserved In Flight: Feature patches being review & committed • Object Versioning UX – Current state of object active or deleted • Comment Tab – User can add comments for collaboration • DQ / Profile Notes Tab – Populate by 3rd parties or by Steward via UI
  • 14. 14 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Additional Atlas Sessions • Top 3 Big Data Governance Issues: Tuesday 4:10PM @ Room 212 • Extend Governance in Hadoop with the Atlas Ecosystem: integrations with partners Waterline, Trifacta and Attivo: Thursday 4:10PM @ Room 210A
  • 15. 15 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Learn More: • Hortonworks links: http://hortonworks.com/solutions/security-and- governance/ • Tutorials: https://github.com/hortonworks/tutorials/tree/atlas-ranger- tp/tutorials/hortonworks/atlas-ranger-preview

Editor's Notes

  • #8: - Learn about who are users are and what are their needs to validate if we are solving the right problem Open ended half hour discussions about processes, challenges and current tools We record the interviews so that we can focus on the conversation and analyis them afterward
  • #9: - Test our prototype in Invision - A click through prototyping tool - Walk users through scenarios and watch how they respond - Remind our participants that we aren’t testing them, we’re testing the design and encourage thinking aloud
  • #10: Is the product was well understood? Is the product something they would use? Where is the value?
  • #12: Is the product was well understood? Is the product something they would use? Where is the value?