[TALK]@Telematika

Talks & Presentations Collection

The top 10 things you need to know about Perl 6
December 17, 2019

The top 10 things you need to know about Perl 6

Join Jeffrey Goff to learn about the top 10 features that Perl 6 brings to the table, including Unicode support, functional programming, reactive and concurrent programming, built-in expression grammars, built-in vector operators, and a full metaprogramming system with support for roles. Jeffrey discusses where Perl 6 started, where it is today, and where the language is going in the future.

A data-first approach to drive real-time applications

A data-first approach to drive real-time applications

December 16, 2019

Leading companies that are getting the most out of their data are not focusing on queries and data lakes; they are actively integrating analytics into their operations. Jack Norris reviews three customer case studies in ad/media, financial services, and healthcare to show how a focus on real-time data streams can transform the development, deployment, and future agility of applications.
A practitioners guide to securing your Hadoop cluster

A practitioners guide to securing your Hadoop cluster

December 16, 2019

Many Hadoop clusters lack even basic security controls. Michael Yoder, Ben Spivey, Mark Donsky, and Mubashir Kazia walk you through securing a Hadoop cluster. You'll 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.
A unified ecosystem for market data visualization

A unified ecosystem for market data visualization

December 16, 2019

FINRA ingests over 50 billion records of stock market trading data daily into multipetabyte databases. Janaki Parameswaran and Kishore Ramachandran explain how FINRA technology integrates data feeds from disparate systems to provide analytics and visuals for regulating equities, options, and fixed-income markets.
Architecting for change: LinkedIn's new data ecosystem

Architecting for change: LinkedIn's new data ecosystem

December 16, 2019

Shirshanka Das and Yael Garten describe how LinkedIn redesigned its data analytics ecosystem in the face of a significant product rewrite, covering the infrastructure changes, such as client-side activity tracking, a unified reporting platform, and data virtualization techniques to simplify migration, that enable LinkedIn to roll out future product innovations with minimal downstream impact.
Authorization in the cloud: Enforcing access control across compute engines

Authorization in the cloud: Enforcing access control across compute engines

December 16, 2019

Li Li and Hao Hao elaborate the architecture of Apache Sentry + RecordService for Hadoop in the cloud, which provides unified, fine-grained authorization via role- and attribute-based access control, to encourage attendees to adopt Apache Sentry and RecordService to protect sensitive data on the multitenant cloud across the Hadoop ecosystem.
Beyond Hadoop at Yahoo: Interactive analytics with Druid

Beyond Hadoop at Yahoo: Interactive analytics with Druid

December 16, 2019

Himanshu Gupta explains why Yahoo has been increasingly investing in interactive analytics and how it leverages Druid to power a variety of internal- and external-facing data applications.
The wonderful world of webhooks

The wonderful world of webhooks

December 16, 2019

Webhooks allow our applications to exchange data as soon as it happens rather than polling using APIs. Lorna Mitchell covers creating, consuming, and deploying webhooks in a modern, microservices world.
Useful Rust

Useful Rust

December 16, 2019

The Rust type system is often discussed, especially in its relation to memory management; it allows for memory safety as a static guarantee at compile time. But if that were its only specialty, Rust would be a one-trick pony. Florian Gilcher uses Rust to present elegant, compiler-supported solutions for common problems of everyday applications as well as the infrastructure around them.
Visualizing concurrency in Go

Visualizing concurrency in Go

December 16, 2019

Ivan Daniluk explains concurrency in Go using the power of 3D modeling and animations. Ivan offers a demo of his tool that can visually represent concurrent Go programs using WebGL in a browser. You'll explore common concurrency patterns through real-time 3D animations and learn how parallelism differs from concurrency.
Why and how Software Heritage is building the universal software archive

Why and how Software Heritage is building the universal software archive

December 16, 2019

Software Heritage's mission is to collect, organize, preserve, and share the source code of all publicly available software. Roberto Di Cosmo surveys the motivations behind the launch of Software Heritage, which has already archived more than 3 billion unique source code files and 650 million unique commits, spanning more than 25 million FOSS projects from major software development hubs.
Big data architectural patterns and best practices on AWS

Big data architectural patterns and best practices on AWS

December 15, 2019

Siva Raghupathy demonstrates how to use Hadoop innovations in conjunction with Amazon Web Services (cloud) innovations.
Big data in healthcare

Big data in healthcare

December 15, 2019

While other industries have embraced the digital era, healthcare is still playing catch-up. Kaiser Permanente has been a leader in healthcare technology and first started using computing to improve healthcare results in the 1960s. Taposh Roy, Rajiv Synghal, and Sabrina Dahlgren offer an overview of Kaisers big data strategy and explain how other organizations can adopt similar strategies.
Big data meets the IoT

Big data meets the IoT

December 15, 2019

The IoT is fundamentally transforming industries and reconfiguring the technology landscape, but challenges exist for enterprises to effectively realize the value from this next wave of information and opportunity. Cheryl Wiebe explores how leading companies harness the IoT by putting IoT data in context, fostering collaboration between IT and OT and enabling a new breed of scalable analytics.
Big data processing with Hadoop and Spark, the Uber way

Big data processing with Hadoop and Spark, the Uber way

December 15, 2019

Praveen Murugesan explains how Uber leverages Hadoop and Spark as the cornerstones of its data infrastructure. Praveen details the current data architecture at Uber and outlines some of the unique challenges with data processing Uber faced as well as its approach to solving some key issues in order to continue to power Uber's real-time marketplace.
Breaking Spark: The top five mistakes to avoid when using Apache Spark in production

Breaking Spark: The top five mistakes to avoid when using Apache Spark in production

December 15, 2019

Drawing on his experiences across 150+ production deployments, Neelesh Srinivas Salian focuses on five common issues observed in a cluster environment setup with Apache Spark (Core, Streaming, and SQL) to help you improve the usability and supportability of Apache Spark and avoid such issues in future deployments.
Breeding data scientists: A four-year study

Breeding data scientists: A four-year study

December 15, 2019

At Strata + Hadoop World 2012, Amy O'Connor and her daughter Danielle Dean shared how they learned and built data science skills at Nokia. This year, Amy and Danielle explore how the landscape in the world of data science has changed in the past four years and explain how to be successful deriving value from data today.
Bring data to life with Immersive Visualization

Bring data to life with Immersive Visualization

December 15, 2019

Data has long stopped being structured and flat, but the results of our analysis are still rendered as flat bar charts and scatter plots. We live in a 3D world, and we need to be able to enable data interaction from all perspectives. Robert Thomas offers an overview of Immersive Visualizationintegrated with notebooks and powered by Sparkwhich helps bring insights to life.
Building a modern data architecture

Building a modern data architecture

December 14, 2019

When building your data stack, the architecture could be your biggest challenge. Yet it could also be the best predictor for success. With so many elements to consider and no proven playbook, where do you begin to assemble best practices for a scalable data architecture? Ben Sharma offers lessons learned from the field to get you started.
Business insights driven by speed

Business insights driven by speed

December 14, 2019

The need to quickly acquire, process, prepare, store, and analyze data has never been greater. The need for performance crosses the big data ecosystem toofrom the edge to the server to the analytics software, speed matters. Raghunath Nambiar shares a few use cases that have had significant organizational impact where performance was key.
Choice Hotels's journey to better understand its customers through self-service analytics

Choice Hotels's journey to better understand its customers through self-service analytics

December 14, 2019

Narasimhan Sampath and Avinash Ramineni share how Choice Hotels International used Spark Streaming, Kafka, Spark, and Spark SQL to create an advanced analytics platform that enables business users to be self-reliant by accessing the data they need from a variety of sources to generate customer insights and property dashboards and enable data-driven decisions with minimal IT engagement.
Cloud computing and big data

Cloud computing and big data

December 14, 2019

Ben Sharma uses popular cloud-based use cases to explore how to effectively and safely leverage big data in the cloud to achieve business goals. Now is the time to get the jump on this trend before your competition gets the upper hand.
Collaboration and openness drive innovation in artificial intelligence

Collaboration and openness drive innovation in artificial intelligence

December 14, 2019

The power of artificial intelligence and advanced analytics emerges from the ability to analyze and compute large, disparate datasets from varied devices and locations, such as predictive medicine and automated cars, at lightning-fast speed. Martin Hall explains why collaboration and openness are the key elements driving innovation in AI.
Connected eyes

Connected eyes

December 14, 2019

Will machine learning give us better eyesight? Join Joseph Sirosh for a surprising story about how machine learning, population data, and the cloud are coming together to fundamentally reimagine eye care in one of the worlds most populous countries, India.
Creating and evaluating a distance measure

Creating and evaluating a distance measure

December 14, 2019

Whether we're talking about spam emails, merging records, or investigating clusters, there are many times when having a measure of how alike things are makes them easier to work with (e.g., with unstructured data that isn't incorporated into your data models). Melissa Santos offers a practical approach to creating a distance metric and validating with business owners that it provides value.
Data case studies

Data case studies

December 14, 2019

The road to a data-driven business is paved with hard-won lessons, painful mistakes, and clever insights. We're introducing a new Tutorial Day track packed with case studies, where you can hear from practitioners across a wide range of industries.
Data modeling for microservices with Cassandra and Spark

Data modeling for microservices with Cassandra and Spark

December 14, 2019

Jeff Carpenter describes how data modeling can be a key enabler of microservice architectures for transactional and analytics systems, including service identification, schema design, and event streaming.
Data risk intelligence in a regulated world

Data risk intelligence in a regulated world

December 14, 2019

Uma Raghavan explains why you're about to see companies whose business models depend on using their customers' data, like Facebook, Google, and many others, scramble to keep up with the flood of new and evolving laws on data privacy.