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ID: 939

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PASS Marathon: Architect 2018

Session Date/Time (dd-MM-YYYY 24h)	Speaker	Category	Track	Title
17-10-2018 16:00	Scot Reagin	Breakout Session (60 minutes)	Business Intelligence and Data Warehousing	Data Positioning: Self-Defense or a Brilliant New Architecture
17-10-2018 17:00	Sergiy Lunyakin	Breakout Session (60 minutes)	Big Data	Big Data Analytics Reference Architectures
17-10-2018 18:00	Gabriel Villa	Breakout Session (60 minutes)	Cloud Solutions	Architecting an Analytics Solution on Amazon Web Services
17-10-2018 19:00	Robert Hart	Breakout Session (60 minutes)	Business Intelligence and Data Warehousing	Adding Data Quality to a Kimball Data Warehouse
17-10-2018 20:00	Navdeep Sidhu	Breakout Session (60 minutes)	Database Administration and Development	3 Reasons to pick a Time Series Platform for monitoring DevOps driven Microservices apps

SessionID: 86096

Data Positioning: Self-Defense or a Brilliant New Architecture

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Event Date: 17-10-2018 16:00 - Category: Breakout Session (60 minutes) - Track: Business Intelligence and Data Warehousing

Speaker(s): Scot Reagin

Title: Data Positioning: Self-Defense or a Brilliant New Architecture

Description:

The Cloud, streaming data, big data, self-service, machine learning, AI and the internet of things. Clearly, we’re not in Data Management Kansas anymore. Data Modelers and Architects have been reacting to wave after wave of demands from these communities with new technologies and methodologies but too often remain grounded in outdated concepts of data management principles. Data Positioning is an evolution of this thinking, allowing Data Managers to deliver value today and in the future.

SessionID: 86117

Big Data Analytics Reference Architectures

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Event Date: 17-10-2018 17:00 - Category: Breakout Session (60 minutes) - Track: Big Data

Speaker(s): Sergiy Lunyakin

Title: Big Data Analytics Reference Architectures

Description:

Big Data is a hot topic nowadays. But, how to design robust and scalable architecture according to business needs? Could we use Traditional Analytics (BI) approach here? Let's dive together and learn how to use Attribute-Driven Design approach in order to identify key architecture drivers and map it with reference architectures. We also will look at technologies as building blocks for those architectures and some practical use cases for better understanding how it works.

SessionID: 86122

Architecting an Analytics Solution on Amazon Web Services

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Event Date: 17-10-2018 18:00 - Category: Breakout Session (60 minutes) - Track: Cloud Solutions

Speaker(s): Gabriel Villa

Title: Architecting an Analytics Solution on Amazon Web Services

Description:

You’ve heard of the Amazon Web Services Data Analytics products but are unsure where to start. Options are plenty for data ingestion and integration to advance analytics on the cloud. Come to understand some possibilities leveraging Amazon’s cloud infrastructure, platform, and software as a service.

Take home an introduction to services such as • Data warehousing • Business intelligence • Batch processing • Stream processing • Machine learning • Data workflow orchestration to get starting on a complete cloud analytics solution

SessionID: 86108

Adding Data Quality to a Kimball Data Warehouse

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Event Date: 17-10-2018 19:00 - Category: Breakout Session (60 minutes) - Track: Business Intelligence and Data Warehousing

Speaker(s): Robert Hart

Title: Adding Data Quality to a Kimball Data Warehouse

Description:

With ever increasing volumes of Data and the demand for more information in shorter timeframes, the need for addressing Data Quality is becoming more critical. The presence of invalid data to the decision making process can be worse than no data. This presentation introduces a design architecture that can be easily added to a small to mid-size Kimball data warehouse that allows not only the ability to capture and measure data quality issues, but relate them to your existing fact and dimension tables. Practical examples from a health care environment will show how one organizations measure of data quality achieved better than 99% acceptance rate for government mandated reporting.

SessionID: 86253

3 Reasons to pick a Time Series Platform for monitoring DevOps driven Microservices apps

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Event Date: 17-10-2018 20:00 - Category: Breakout Session (60 minutes) - Track: Database Administration and Development

Speaker(s): Navdeep Sidhu

Title: 3 Reasons to pick a Time Series Platform for monitoring DevOps driven Microservices apps

Description:

As the DevOps toolchains become more complex, greater visibility and better monitoring is required to instrument the toolchain effectively. Purpose built time-series data platforms provide granular sub-second monitoring to detect anomalies and measure every metric to fine-tune performance and scalability. Join us to learn how InfluxData’s time-series platform can help your DevOps initiatives.