Strata Data Conference

Stream analytics with SQL on Apache Flink

Stream analytics with SQL on Apache Flink

December 30, 2019

Although the most widely used language for data analysis, SQL is only slowly being adopted by open source stream processors. One reason is that SQL's semantics and syntax were not designed with streaming data in mind. Fabian Hueske explores Apache Flink's two relational APIs for streaming analyticsstandard SQL and the LINQ-style Table APIdiscussing their semantics and showcasing their usage.
Teaching databases to learn in the world of AI (sponsored by MemSQL)

Teaching databases to learn in the world of AI (sponsored by MemSQL)

December 29, 2019

Nikita Shamgunov discusses the future of databases for fast-learning adaptable applications.
Text analytics and new visualization techniques

Text analytics and new visualization techniques

December 29, 2019

Text analytics are advancing rapidly, and new visualization techniques for text are providing new capabilities. Richard Brath and Scott Langevin offer an overview of these new ways to organize massive volumes of text, characterize subjects, score synopses, and skim through lots of documents.
The age of machine learning

The age of machine learning

December 29, 2019

Ben Lorica explores the age of machine learning.
The cognitive design principles of interactive analytics

The cognitive design principles of interactive analytics

December 29, 2019

Most analytics tools in use today provide static visuals that dont reveal the full, real-time picture. Mike Driscoll shows how to take an interactive approach to analytics. From design techniques to discovering new forms of data exploration, he demonstrates how to put the full power of big data into the hands of the people who need it to make key business decisions.
The columnar roadmap: Apache Parquet and Apache Arrow

The columnar roadmap: Apache Parquet and Apache Arrow

December 29, 2019

Julien Le Dem explains how Parquet is improving at the storage level, with metadata and statistics that will facilitate more optimizations in query engines in the future, how the new vectorized reader from Parquet to Arrow enables much faster reads by removing abstractions, and how standard Arrow-based APIs are paving the way to breaking the silos of big data.
The context of contacts: Seeking root causes of racial disparity in Texas traffic-summons fines

The context of contacts: Seeking root causes of racial disparity in Texas traffic-summons fines

December 29, 2019

Nick Selby offers an overview of his study on traffic-stop data in Texas, which found evidence that the state targeted low-income residents (a disproportional number of whom are black and Latino) for heightened scrutiny and penalties. The problem is not necessarily an issue of racist copswhich means fixing the criminal justice system isnt just an issue of addressing racism in uniform.
The converging world of big data and the IoT (sponsored by Pentaho)

The converging world of big data and the IoT (sponsored by Pentaho)

December 29, 2019

The IoT can deliver real outcomes that can transform organizationsand societiesfor the better. But the IoT is not transformative without the power of big data. Chuck Yarbrough shares examples of where the IoT and big data have combined to solve significant business challenges and take advantage of business opportunities.
The essentials for digital growth (sponsored by MapR)

The essentials for digital growth (sponsored by MapR)

December 29, 2019

Jack Norris shares lessons learned by leading companies leveraging data to transform customer experiences, operational results, and overall growth and details the infrastructure, development, and data management principles used by successful leaders to drive agility regardless of application volume or scale.
The five components of a data strategy

The five components of a data strategy

December 28, 2019

While it's clear organizations need to have a comprehensive data strategy, few have actually developed a plan to improve the access, sharing, and usage of data. Evan Levy discusses the five essential components that make up a data strategy and explores the individual attributes of each.
The future of data science and machine learning (sponsored by IBM)

The future of data science and machine learning (sponsored by IBM)

December 28, 2019

A changing market landscape and open source innovations are having a dramatic impact on the consumability and ease of use of data science tools. Carlo Appugliese examines the impact these trends and changes will have on the future of data science and how machine learning is making data science available to all.
The journey to Einstein: Building a multitenancy AI platform that powers hundreds of thousands of businesses

The journey to Einstein: Building a multitenancy AI platform that powers hundreds of thousands of businesses

December 28, 2019

Salesforce recently released Einstein, which brings AI into its core platform to power every business. The secret behind Einstein is an underlying platform that accelerates AI development at scale for both internal and external data scientists. Simon Chan shares his experience building this unified platform for a multitenancy, multibusiness cloud enterprise.
The real project of AI ethics

The real project of AI ethics

December 28, 2019

AI has been with us for hundreds of years; there's no "singularity" step change. Joanna Bryson explains that the main threat of AI is not that it will do anything to us but what we are already doing to each other with itpredicting and manipulating our own and others' behavior.
The US EPA: Digital transformation through data science

The US EPA: Digital transformation through data science

December 28, 2019

Data science is key to addressing national challenges with greater agility. At the EPA, the prime challenge is to provide the best value to American citizens in an ever-changing world. Robin Thottungal explains how the EPA addresses this challenge through digital and analytical services.
Unleashing intelligence and data analytics at scale (sponsored by Intel)

Unleashing intelligence and data analytics at scale (sponsored by Intel)

December 28, 2019

Advanced data analytics is reshaping the enterprise with new discoveries, better customer experiences, and improved products and services, all enabled by actionable insight. Ziya Ma shares how Intel is driving a holistic approach to powering advanced analytics and artificial intelligence workloads and unleashing intelligent and scalable insights from the edge to the cloud to the enterprise.
Unraveling data with Spark using deep learning and other algorithms from machine learning

Unraveling data with Spark using deep learning and other algorithms from machine learning

December 28, 2019

Vartika Singh and Jeffrey Shmain walk you through various approaches using the machine learning algorithms available in Spark ML to understand and decipher meaningful patterns in real-world data. Vartika and Jeff also demonstrate how to leverage open source deep learning frameworks to run classification problems on image and text datasets leveraging Spark.
What I learned from teaching 1,500 analytics students

What I learned from teaching 1,500 analytics students

December 28, 2019

Engaging, teaching, mentoring, and advising mature, mostly employed, often enthusiastic and ambitious adult learners at University of Toronto has taught Jerrard Gaertner more about analytics in the real world than he ever imagined. Jerrard shares stories he learned about everything from hyped-up expectations and internal sabotage to organizational streamlining and creating transformative insight.
White Collar Crime Risk Zones

White Collar Crime Risk Zones

December 27, 2019

Sam Lavigne offers an overview of White Collar Crime Risk Zones, a predictive policing application that uses industry-standard predictive policing methodologies to predict financial crime at the city-block level with an accuracy of 90.12%. Unlike typical predictive policing apps, which criminalize poverty, White Collar Crime Risk Zones criminalizes wealth.
Wild, wild data: Adventures with big data and the IoT in the Angolan highlands

Wild, wild data: Adventures with big data and the IoT in the Angolan highlands

December 27, 2019

Keynote with Jer Thorp
WTF? What's the future and why it's up to us

WTF? What's the future and why it's up to us

December 27, 2019

Robots are going to take our jobs, they say. Tim O'Reilly says, "Only if that's what we ask them to do!" Tim has had his fill of technological determinism. He explains why technology is the solution to human problems and why we won't run out of work till we run out of problems.
Your data is being manipulated.

Your data is being manipulated.

December 27, 2019

The more that we rely on data to train our models and inform our systems, the more that this data becomes a target for those seeking to manipulate algorithmic systems and undermine trust in data. danah boyd explores how systems are being gamed, how data is vulnerable, and what we need to do to build technical antibodies.
"Smartifying" the game

"Smartifying" the game

December 6, 2019

Low cost, big impact: this is what data science can bring to your business. Iaki Puigdollers explores how the analytics department changed Social Point games, creating an even better gaming experience and business.
A practitioners guide to securing your Hadoop cluster

A practitioners guide to securing your Hadoop cluster

December 6, 2019

Mark Donsky, Andr Araujo, Syed Rafice, and Mubashir Kazia walk you through securing a Hadoop cluster. Youll start with a cluster with no security and then add security features related to authentication, authorization, encryption of data at rest, encryption of data in transit, and complete data governance.
TensorFlow and deep learning (without a PhD)

TensorFlow and deep learning (without a PhD)

December 6, 2019

With TensorFlow, deep machine learning has transitioned from an area of research into mainstream software engineering. Martin Grner walks you through building and training a neural network that recognizes handwritten digits with >99% accuracy using Python and TensorFlow.
Accelerate analytics and AI innovations with Intel (sponsored by Intel)

Accelerate analytics and AI innovations with Intel (sponsored by Intel)

December 5, 2019

Ziya Ma outlines the challenges for applying machine learning and deep learning at scale and shares solutions that Intel has enabled for customers and partners.
Another one bytes the dust (sponsored by Dell EMC)

Another one bytes the dust (sponsored by Dell EMC)

December 5, 2019

Reliance only upon traditional data could lead to a catastrophic decision. Paul Brook explores the music industry to show how using modern information points, derived from technologies within the Hadoop framework, brings new data that changes the way a business or organization makes decisions.
Apache Kylin use cases in China

Apache Kylin use cases in China

December 5, 2019

Apache Kylin is rapidly being adopted over the worldespecially in China. Luke Han explores how various industries use Apache Kylin, sharing why these companies choose Apache Kylin (a technology comparison), how they use Apache Kylin (their production deployment pattern), and most importantly, the resulting business impact.
Architecting a next-generation data platform

Architecting a next-generation data platform

December 5, 2019

Using Entity 360 as an example, Jonathan Seidman, Ted Malaska, and Mark Grover explain how to architect a modern, real-time big data platform leveraging recent advancements in the open source software world, using components like Kafka, Impala, Kudu, Spark Streaming, and Spark SQL with Hadoop to enable new forms of data processing and analytics.