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Accumulo in the
Enterprise
Hadoop Production Heebie-Jeebies
• Concentration of data: different sources, different types, different
owners.
• Multiple access models: batch, interactive, real-time
• No conventional security perimeter: compute nodes execute
arbitrary user-defined tasks
(like any Distributed Key/Value Store)
Flexible Schema!
Low-Latency Reads+Writes!
(like any Distributed Key/Value Store)
Because the same
operations on the
same data can return
different results to
different people.
SQL
pt_demographics
pt_id given_name surname dob sex home_address
1024 Neil Armstrong 1930-08-05 M 1981 Orland Dr…
1138 Buzz Aldrin 1930-01-20 M 887 Northern Way…
4242 Michael Collins 1930-10-31 M 3091 Clark Ave…
8080 John Glenn 1921-07-18 M 2857 Commercial Blvd…
tabular_data
Row ID CF CQ TS Vis Value
pt_demo:1024 - dob - PHI 1930-08-05
pt_demo:1024 - given_name - PHI Neil
pt_demo:1024 - home_address - PHI 1981 Orland Dr…
pt_demo:1024 - sex - NON_PHI M
pt_demo:1024 - surname - PHI Armstrong
pt_demographics_deident
pt_id given_name surname dob sex home_address
1024 N A 1930-01-01 M Vancouver
1138 B A 1930-01-01 M Coquitlam
4242 M C 1930-01-01 M New Westminster
8080 J G 1921-01-01 M Burnaby
Doctor Researcher
PHI NON_PHI DE_IDENT
tabular_data
Row ID CF CQ TS Vis Value
pt_demo:1024 - dob - PHI 1930-08-05
pt_demo:1024 - dob - DEIDENT 1930-01-01
pt_demo:1024 - given_name - PHI Neil
pt_demo:1024 - given_name - DEIDENT N
pt_demo:1024 - home_address - PHI 1981 Orland Dr…
pt_demo:1024 - home_address - DEIDENT Vancouver
pt_demo:1024 - sex - NON_PHI M
pt_demo:1024 - surname - PHI Armstrong
pt_demo:1024 - surname - DEIDENT A
Concentration of Data
Protect and share data with cell-level
security
Multi-Use Cluster
Different views for different users,
managed at the database level
Ambiguous Security Perimeter
Distributed policy enforcement
provided by tablet servers.

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Accumulo Summit 2016: Accumulo in the Enterprise

  • 2.
  • 3. Hadoop Production Heebie-Jeebies • Concentration of data: different sources, different types, different owners. • Multiple access models: batch, interactive, real-time • No conventional security perimeter: compute nodes execute arbitrary user-defined tasks
  • 4. (like any Distributed Key/Value Store) Flexible Schema!
  • 5. Low-Latency Reads+Writes! (like any Distributed Key/Value Store)
  • 6. Because the same operations on the same data can return different results to different people.
  • 7. SQL
  • 8. pt_demographics pt_id given_name surname dob sex home_address 1024 Neil Armstrong 1930-08-05 M 1981 Orland Dr… 1138 Buzz Aldrin 1930-01-20 M 887 Northern Way… 4242 Michael Collins 1930-10-31 M 3091 Clark Ave… 8080 John Glenn 1921-07-18 M 2857 Commercial Blvd…
  • 9. tabular_data Row ID CF CQ TS Vis Value pt_demo:1024 - dob - PHI 1930-08-05 pt_demo:1024 - given_name - PHI Neil pt_demo:1024 - home_address - PHI 1981 Orland Dr… pt_demo:1024 - sex - NON_PHI M pt_demo:1024 - surname - PHI Armstrong
  • 10. pt_demographics_deident pt_id given_name surname dob sex home_address 1024 N A 1930-01-01 M Vancouver 1138 B A 1930-01-01 M Coquitlam 4242 M C 1930-01-01 M New Westminster 8080 J G 1921-01-01 M Burnaby
  • 12. tabular_data Row ID CF CQ TS Vis Value pt_demo:1024 - dob - PHI 1930-08-05 pt_demo:1024 - dob - DEIDENT 1930-01-01 pt_demo:1024 - given_name - PHI Neil pt_demo:1024 - given_name - DEIDENT N pt_demo:1024 - home_address - PHI 1981 Orland Dr… pt_demo:1024 - home_address - DEIDENT Vancouver pt_demo:1024 - sex - NON_PHI M pt_demo:1024 - surname - PHI Armstrong pt_demo:1024 - surname - DEIDENT A
  • 13.
  • 14. Concentration of Data Protect and share data with cell-level security Multi-Use Cluster Different views for different users, managed at the database level Ambiguous Security Perimeter Distributed policy enforcement provided by tablet servers.