Sep 23–26, 2019

Schedule: Business Analytics and Visualization sessions

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9:00am5:00pm Tuesday, September 24, 2019
Location: 1A 08
Alistair Croll (Solve For Interesting), Jennifer Yang (Wells Fargo ECS), Nitzan Mekel-Bobrov (Capital One), Dan Barker (RSA Security), Rochelle March (Trucost), Catherine Gu (Stanford University), elva fernandez (American Express), Moto Tohda (Tokyo Century (USA) Inc.), Mikheil Nadareishvili (TBC Bank), Jennifer Kloke (Ayasdi)
From analyzing risk and detecting fraud to predicting payments and improving customer experience, take a deep dive into the ways data technologies are transforming the financial industry. Read more.
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9:00am5:00pm Tuesday, September 24, 2019
Location: 1A 06
Richard Evans (Statistics Canada), Rosaria Silipo (KNIME), Leah Xu (Spotify), Arup Nanda (Priceline), Victoriya Kalmanovich (Navy), Shreya Sharma (Expedia Inc.), Martin Mendez-Costabel (Bayer Crop Science), Gloria Macia (Roche AG), Gwen Campbell (Revibe Technologies, Inc), Moise Convolbo (Rakuten)
From banking to biotech, retail to government, every business sector is changing in the face of abundant data. Get better at defining business problems and applying data solutions at Strata. Read more.
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4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 14
Secondary topics:  BI, Interactive Analytics and Visualization, Data Management and Storage, Deep dive into specific tools, platforms, or frameworks
Elasticsearch allows extremely quick search and drilldowns on large amounts of semistructured data. Elasticsearch, however, does not have relational join capabilities. In this presentation I'll introduce a plugin for ES that adds cluster distributed joins and demonstrate how it enables an exciting array of use cases dealing with interconnected or "Knowledge Graph" enterprise data. Read more.
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1:15pm1:55pm Thursday, September 26, 2019
Location: 1E 09
Secondary topics:  BI, Interactive Analytics and Visualization
Shant Hovsepian (Arcadia Data)
With cloud object storage (e.g. S3, ADLS) one expects business intelligence (BI) applications to benefit from the scale of data and real-time analytics. However, traditional BI in the cloud surfaces non-obvious challenges. This talk will review service-oriented cloud design (storage, compute, catalog, security, SQL) and shows how native cloud BI provides analytic depth, low cost and performance Read more.
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2:05pm2:45pm Thursday, September 26, 2019
Location: 1E 09
Secondary topics:  BI, Interactive Analytics and Visualization, Cloud Platforms and SaaS, Data Management and Storage
Tomer Shiran (Dremio), Jacques Nadeau (Dremio)
Data lakes have become a key ingredient in the data architecture of most companies. In the cloud, object storage systems such as S3 and ADLS make it easier than ever to operate a data lake. In this talk we describe how companies can build best-in-class data lakes in the cloud, leveraging open source technologies and the cloud's elasticity to run and optimize various workloads simultaneously. Read more.
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2:05pm2:45pm Thursday, September 26, 2019
Location: 1E 14
Secondary topics:  BI, Interactive Analytics and Visualization, Media and Advertising, Temporal data and time-series analytics
Akshay Rai (Linkedin)
Failures or issues in a product or service can negatively affect the business. Detecting issues in advance and recovering from them is crucial to keep the business alive. Come, join us, to learn more about LinkedIn's next-generation open-source monitoring platform, an integrated solution for real-time alerting and collaborative analysis. Read more.

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