Gain 3 Benefits with Delta Sharing

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Following Matei Zaharia’s keynote presentation, join this session for the nitty gritty details. Tableau is joining forces with Databricks and the Delta Lake open source community to announce Delta Sharing and the new open Delta Sharing protocol for secure data sharing. For Tableau customers, Delta Sharing simplifies and enriches data, while supporting the development of a data culture. Join this session to see a live demo of Tableau on Delta Sharing. Tableau customers can choose between 2 workflows for connection. The first workflow is called “Direct Connect,” which leverages a Tableau WDC connector. The second workflow involves using a hybrid approach for querying live on the Delta Sharing protocol and using Tableau Hyper in-memory data engine for fast data ingestion and analytical query processing.

Dados e análise

Gain 3 Beneﬁts With
Delta Sharing
Razi Sharir
VP of Product Management, Data
Blair Hutchinson
Product Manager - Technology Partners

Source: Data Sharing Is a Business Necessity to Accelerate
Digital Business, by Gartner
“The traditional ‘don’t share data unless’
mindset has outlived its original purpose.”
“By 2023, organizations that promote data
sharing will outperform their peers on
most business value metrics.”

Agenda
▪ It all starts with data…
▪ What if you could get to
more data?
▪ Delta Sharing + Tableau

● Get a complete picture
● Make better decisions, faster
● Empower everyone
*McKinsey, Five Facts
**McKinsey, Catch Them If You Can
Data-driven
organizations
perform better
23x
more likely to
Add customers*
9x
more likely to
Retain customers*
1.5x
more likely to
Grow revenue >10%**

But organizations
are falling short.
Success requires building
a Data Culture
95%
say that
Cultural Challenges
are blocking progress**
92%
Organizations failing
to scale analytics*
*Deloitte Survey 2019
**McKinsey, Catch Them If You Can

Strategic Partnership
Databricks + Tableau

Performant Simple Interface All products
Databricks Connector

Delta Sharing Server
Introducing Delta Sharing
Data Consumers
Data Providers
Data Sharers
Open secure access Data does not move
table2 table3
table1
Data Providers
Data Sharers

Consuming Delta Shares in Tableau
Tableau User
Delta Sharing Server
Tableau Delta
WDC
Connector
Visualize Shared
Data Set
Data Sharer
Visualize shared datasets
Tableau UI
Shares
Dataset

Delta Share + Tableau Hyper
In-memory data engine for fast data ingest and analytical query processing
Receive data from
Delta Sharing Server
1. Transform and augment your data
2. Convert Delta Share to Hyper
Publish to
Tableau

3 Beneﬁts of Delta Sharing
for Tableau Users
Simpliﬁes
data access
Allows for
data enrichment
Helps establish
a Data Culture

Tableau 1:1
Connect and Demo
Tableau Community
Call to Action
Deep dive into our products to learn
how we help data people deliver.
Discover more about Tableau and
Delta Sharing in Tableau
Community.
Schedule a Demo
Build a Data Culture

Feedback
Your feedback is important to us.
Don’t forget to rate and review the sessions.

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Improving Apache Spark for Dynamic Allocation and Spot Instances

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With data as a valuable currency and the architecture of reliable, scalable Data Lakes and Lakehouses continuing to mature, it is crucial that machine learning training and deployment techniques keep up to realize value. Reproducibility, efficiency, and governance in training and production environments rest on the shoulders of both point in time snapshots of the data and a governing mechanism to regulate, track, and make best use of associated metadata. This talk will outline the challenges and importance of building and maintaining reproducible, efficient, and governed machine learning solutions as well as posing solutions built on open source technologies – namely Delta Lake for data versioning and MLflow for efficiency and governance.

Importance of ML Reproducibility & Applications with MLfLow

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Data Lakehouse Symposium | Day 1 | Part 1

Data Lakehouse Symposium | Day 2

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Why APM Is Not the Same As ML Monitoring

The Function, the Context, and the Data—Enabling ML Ops at Stitch Fix

Stage Level Scheduling Improving Big Data and AI Integration

Simplify Data Conversion from Spark to TensorFlow and PyTorch

Scaling your Data Pipelines with Apache Spark on Kubernetes

Scaling and Unifying SciKit Learn and Apache Spark Pipelines

Sawtooth Windows for Feature Aggregations

Redis + Apache Spark = Swiss Army Knife Meets Kitchen Sink

Re-imagine Data Monitoring with whylogs and Spark

Raven: End-to-end Optimization of ML Prediction Queries

Processing Large Datasets for ADAS Applications using Apache Spark

Machine Learning CI/CD for Email Attack Detection

Jeeves Grows Up: An AI Chatbot for Performance and Quality

Intuitive & Scalable Hyperparameter Tuning with Apache Spark + Fugue

Infrastructure Agnostic Machine Learning Workload Deployment

Improving Apache Spark for Dynamic Allocation and Spot Instances

Importance of ML Reproducibility & Applications with MLfLow

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Gen AI on Enterprise Cloud Apache NiFi Milvus Apache Kafka Apache Flink Cloudera Machine Learning Cloudera DataFlow https://medium.com/@tspann/building-a-milvus-connector-for-nifi-34372cb3c7fa https://www.meetup.com/futureofdata-princeton/events/300737266/ https://lu.ma/q7pcfyjn?source=post_page-----34372cb3c7fa--------------------------------&tk=TTyakY If you're interested in working with Generative AI on the cloud, this virtual workshop is for you. Tim Spann from Cloudera and Yujian Tang from Zilliz will cover how you can implement your own GenAI workflows on the cloud at enterprise scale. 9:00 - 9:05: Intro 9:05 - 9:15: What is Milvus 9:15 - 9:25: Cloudera Development Platform 9:25 - 10:00: Demo Location https://www.youtube.com/watch?v=IfWIzKsoHnA https://github.com/tspannhw/SpeakerProfile https://www.linkedin.com/in/yujiantang/

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Gain 3 Benefits with Delta Sharing

1. Gain 3 Beneﬁts With Delta Sharing Razi Sharir VP of Product Management, Data Blair Hutchinson Product Manager - Technology Partners

2. Source: Data Sharing Is a Business Necessity to Accelerate Digital Business, by Gartner “The traditional ‘don’t share data unless’ mindset has outlived its original purpose.” “By 2023, organizations that promote data sharing will outperform their peers on most business value metrics.”

3. Agenda ▪ It all starts with data… ▪ What if you could get to more data? ▪ Delta Sharing + Tableau

4. We help people see and understand data

5. ● Get a complete picture ● Make better decisions, faster ● Empower everyone *McKinsey, Five Facts **McKinsey, Catch Them If You Can Data-driven organizations perform better 23x more likely to Add customers* 9x more likely to Retain customers* 1.5x more likely to Grow revenue >10%**

6. But organizations are falling short. Success requires building a Data Culture 95% say that Cultural Challenges are blocking progress** 92% Organizations failing to scale analytics* *Deloitte Survey 2019 **McKinsey, Catch Them If You Can

7. Analytics People Love to Use

10. Strategic Partnership Databricks + Tableau

11. Performant Simple Interface All products Databricks Connector

12. Joint Customer Success

13. What if you could get to more data?

14. Delta Sharing Server Introducing Delta Sharing Data Consumers Data Providers Data Sharers Open secure access Data does not move table2 table3 table1 Data Providers Data Sharers

15. Consuming Delta Shares in Tableau Tableau User Delta Sharing Server Tableau Delta WDC Connector Visualize Shared Data Set Data Sharer Visualize shared datasets Tableau UI Shares Dataset

16. DEMO

17. Delta Share + Tableau Hyper In-memory data engine for fast data ingest and analytical query processing Receive data from Delta Sharing Server 1. Transform and augment your data 2. Convert Delta Share to Hyper Publish to Tableau

18. 3 Beneﬁts of Delta Sharing for Tableau Users Simpliﬁes data access Allows for data enrichment Helps establish a Data Culture

19. Tableau 1:1 Connect and Demo Tableau Community Call to Action Deep dive into our products to learn how we help data people deliver. Discover more about Tableau and Delta Sharing in Tableau Community. Schedule a Demo Build a Data Culture

20. Thank You

21. Feedback Your feedback is important to us. Don’t forget to rate and review the sessions.

Gain 3 Benefits with Delta Sharing

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