Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Become an Equilibrista: Find the Right Balance ...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
FTisiot
December 03, 2019
Technology
320
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Become an Equilibrista: Find the Right Balance in The Analytics Tech Ecosystem
FTisiot
December 03, 2019
More Decks by FTisiot
See All by FTisiot
Apache Kafka JDBC Source Connector: What could go wrong?
ftisiot
0
150
Solve the Knapsack problem with recursive queries and PostgreSQL
ftisiot
0
180
Build an Open Source Data Pipeline
ftisiot
0
350
Get to know Apache Kafka with Jupyter Notebooks
ftisiot
0
790
Fix Your Strings in PostgreSQL
ftisiot
0
300
Practical Tips & Tricks for Apache Kafka Messages Integration
ftisiot
0
270
Track Database Changes with Apache Kafka
ftisiot
0
320
Apache Kafka and Flink: Stateful Streaming Data Pipelines made easy with SQL
ftisiot
0
1k
Kickstart your Kafka with Faker Data
ftisiot
0
480
Other Decks in Technology
See All in Technology
1万名の社員が使う認証基盤で どう信頼性を担保するか?
kairim0
0
180
OSC2026on_the-world-is-waiting-for-your-voice.pdf
naruoga
0
300
Amazon Bedrock Agents ClassicからAmazon Bedrock AgentCoreへ移行した際、ガードレール設定が2箇所に割れた話
matsunobu
0
170
生成AIと進める探索的データ分析(2026.10.03 第122回Tokyo.R勉強会)
tatamiya
2
1.3k
自律型 AI をセキュアに実装!Gemini と MIG で作る動的コード実行環境
recruitengineers
PRO
1
110
顧客の成果創出とプロダクトの成長を 両立するためのFDE
sansantech
PRO
0
630
形式手法を使って仕様をコーディングしよう
mikanichinose
0
170
OpenSharing について熱く語る〜AI アセットの共有について〜
kameitomohiro
0
150
OpenClawでAzure DevOpsのWiki更新を自動化する - クラウドAIだけでは届かない場所へ
yutakaosada
0
140
スキルを作る、その前に!複数人で使われるスキルを 作るためのプロセス
junkifurukawa
2
190
VS Code × GitHub Copilot での Fabric 開発
ryomaru0825
1
220
自主式軟體工廠
philipz
0
130
Featured
See All Featured
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
203
76k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.4k
A Tale of Four Properties
chriscoyier
163
24k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.6k
Build your cross-platform service in a week with App Engine
jlugia
234
19k
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
450
Documentation Writing (for coders)
carmenintech
77
5.6k
Imperfection Machines: The Place of Print at Facebook
scottboms
270
14k
BBQ
matthewcrist
89
10k
sira's awesome portfolio website redesign presentation
elsirapls
0
440
Jess Joyce - The Pitfalls of Following Frameworks
techseoconnect
PRO
1
430
Unsuck your backbone
ammeep
672
58k
Transcript
Francesco Tisiot - @FTisiot Analytics Tech Lead Become an Equilibrista
Find the Right Balance in The Analytics Tech Ecosystem
Verona, Italy http://ritt.md/ftisiot Over10 Years in Analytics
[email protected]
@FTisiot Oracle
ACE Director ITOUG Board President Francesco Tisiot Analytics Tech Lead
Data Engineering Analytics Data Science www.rittmanmead.com
[email protected]
@rittmanmead
A bit of History
Excel Hell
https://www.rittmanmead.com/blog/2018/11/where-are-my-users-coming-from-analysing-obiee-connections-methods/
Unique Source of Truth
None
None
None
Calculated from Scratch Calculated from Scratch AGREEM ENT
Sourced from Certified Datasource Calculated from Scratch
Approach to Data Certification
Top-Down Approach Data Model Definition Implementation Analysis Centralized BI OBIEE
- RPD LOOKER
Bottom-Up Approach Datasource Creation Analysis Datasource Publication Self Service Oracle
Data Visualization Tableau
Top-Down vs Bottom-Up KPI Duplication Security Time To KPI Reusability
Performance
Reusability / Security DataSource A DataSource B Shared Dimension(s) Centralised
BI
Reusability / Security DataSource A DataSource B Dim X Self
Service BI Dim X
Self-Service BI
Self Service Centralised
The Right Tool: OAC
Sourcing from Central System Select "Dim Account"."Account Code", "Fact Churn"."Churn
Prediction" from "Churn" No Formula Recalculation No Join, Filtering, Aggregation Knowledge Security Inheritance No Code Duplication
None
Hybrid
Self Service Centralised
Awareness
Documentation
RPD Metadata Dictionary
Suggestions
Complexity Key Factors Security Data Volumes Interest
Key Factors Centralised Self Service Complexity Low High Interest Narrow/Unique
Wide/Repeated Security Easy Complex Data Volumes Small Big
Self Service Centralised ?
Control
Keeping Track Usage Tracking!
Usage Tracking SELECT DISTINCT USER_NAME, NVL(QUERY_SRC_CD, 'RPD ODBC') SOURCE, TRUNC(START_TS)
TS FROM S_NQ_ACCT WHERE AND ( QUERY_SRC_CD IS NULL OR UPPER(QUERY_SRC_CD) IN ('SOAP', 'RAWSQL') ) AND QUERY_TEXT NOT LIKE '{CALL%' ORDER BY 3 DESC;
Self Service?
Calculation
<saw:report ...> <saw:criteria xsi:type=“…” subjectArea=“"Jira Reporting""> <saw:columns> <saw:column …> <saw:columnFormula>
<sawx:expr xsi:type=“…”>”Dim Issue Status"."Issue Status”</…> <saw:column …> <saw:columnFormula> <sawx:expr xsi:type=“…”>”Fact Issue KPI"."# of Issues"</…> Metadata
https://www.youtube.com/watch?v=mQY2vslle_8 REST Endpoints
https://www.youtube.com/watch?v=mQY2vslle_8 REST Endpoints curl “https://<OAC>/datasetsvc/ public/api/v4/datasets” \ -u ‘<USER>:<PWD>'
{ "provider": "managed", "requiresImpersonation": false, "semicolonDelimited": false, "customDelimiter": false, "name":
"train", "namespace": "
[email protected]
", "business-model": "\"\"", "description": "Uploaded from train.csv.", "display-name": "train", "locale": "sys", "file-length": 460676, "type": "text", "data-last-modified": "2019-04-08T08:19:34.481+0000", "private-connection": false, "mime-type": "application/csv", "owner-guid": "
[email protected]
", "metadata-last-modified": "2019-04-08T08:22:20.928+0000", "bdp-profile": "{\"profile\":\"784c4626-ebd6-4a01-b5dc-1a3ccd0fee1a\"}", "is-temporary": false } REST Endpoints - CSV
{ …, "name": "OPEN_INCIDENTS", "namespace": "
[email protected]
", "business-model": "\"\"", "indexable": "BOTH",
"description": "External Data Set", "display-name": "OPEN_INCIDENTS", …, "data-last-modified": "2019-03-19T16:07:22.732+0000", "connection-namespace": "
[email protected]
", "private-connection": false, "connection-name": "LGI", "provider-type": "db", "provider-name": "oracle", "owner-guid": "
[email protected]
", … } REST Endpoints - DB
REST Endpoints - DB Details api/v4/datasets/{dataset-uri} {dataset-uri} = ‘<USERNAME>’.’<DATASET_NAME>’
REST Endpoints - DB Details
{ "id": "LGI", "leaf": false, "otype": "Schema", "name": "LGI", "children":
[ { "id": "LGI.OPEN_INCIDENTS", "leaf": false, "otype": "dbtable", "name": "OPEN_INCIDENTS", "allColumns": [ { "datatype": "number", "name": "OPEN_INCIDENTS", "is-supported": "TRUE", "otype": "Column", "leaf": true, "id": "LGI.OPEN_INCIDENTS.OPEN_INCIDENTS" }, { "datatype": "varchar(30)", "name": "ISO_YEAR_WEEK", "is-supported": "TRUE", "otype": "Column", "leaf": true, "id": "LGI.OPEN_INCIDENTS.ISO_YEAR_WEEK" }, REST Endpoints - DB Details
REST Endpoints - Dataflows api/v4/dataflows/{dataflow-uri} {dataflow-uri} = ‘<USERNAME>’.’<DATAFLOW_NAME>’
{ "datagen-name": "Clean Wine Dataflow", "namespace": "
[email protected]
", "definition": { "steps":
[ { "stepId": "InputDataset_0", "description": "winemag-data_first150k", "type": "InputDataset", "stepDisplayName": "winemag-data_first150k", "stepDescription": "", "datasetRef": "ds_0", "qualifiedTable": "XSA(ds_0).\"Columns\"", "datasetDescription": "Uploaded from winemag-data_first150k.xlsx.", "datasetType": "excel", "datasetDisplayName": "winemag-data_first150k", "inputType": "all", "parameters": [], "promptForInputSource": [] }, REST Endpoints - Dataflow Detail
{ "stepId": "AddColumns_0", "description": "Add Columns", "type": "AddColumns", "stepDisplayName": "",
"stepDescription": "", "columns": [ { "name": "TRAIN OR TEST", "expression": "case when RAND() < 0.8 then 'Train' else 'Test' end", "datatype": "varchar(4000)", "aggrule": "none", "srcexpression": "case when RAND() < 0.8 then 'Train' else 'Test' end", "transformationtype": "Calculation" }, { "name": "Length of Description", "expression": "CHAR_LENGTH(\"description\")", "datatype": "integer", "aggrule": "sum", "srcexpression": "CHAR_LENGTH(XSA('
[email protected]
'.'__CLIENT_FLOW_DATASET__'). \"Columns\".\"description\")", "transformationtype": "Calculation" } ] } REST Endpoints - Dataflow Detail
None
https://www.oracle.com/solutions/business-analytics/data-visualization/extensions.html
Data Governance Extension
Displays only objects visible to you!
BAR File
BAR File
DEMO
Oracle Data Catalog http://ritt.md/oow19-datacatalog Inventories of Data Assets
Oracle Data Catalog Inventories of Data Assets http://ritt.md/oow19-datacatalog
RM Metadata Explorer
RM Metadata Explorer Use Cases Data Lineage GDPR DataFlow ->
ODI Mapping Metadata Search Tool Data Capital
Self Service Analytics
Centralized Reporting
Measure
Tech Days 2020 Milan 29th Jan Rome 31st Jan
Francesco Tisiot BI Tech Lead Become an Equilibrista Find the
Right Balance in The Analytics Tech Ecosystem