[TALK]@Telematika

Talks & Presentations Collection

Let's make the pain visible
October 30, 2019

Let's make the pain visible

We've been trying to explain the pain of technical debt for generations, but we've never been able to measure it. What if we could measure the effects of learning curves, collaboration pain, and problems building up in the code? Janelle Klein outlines the Idea Flow Learning Framework, a strategy for measuring the friction in developer experience that introduces a whole new world of possibilities.

Let's not rewrite it all

Let's not rewrite it all

October 30, 2019

Every engineer dreams at some point of rewriting a legacy system. Rewrites introduce bugs, duplicate effort, and delays. Architectural evolution or incremental rewrites can be an alternative, but only if done properly. Michelle Brush explores good and bad patterns for evolving architectures, offering a framework for deciding what approach to take.
Modeling for architects

Modeling for architects

October 30, 2019

Nathaniel Schutta discusses a basic set of architectural diagrams. Drawing on a case study, Nathaniel walks attendees through constructing a set of diagrams that will effectively communicate their designs. In addition, Nathaniel covers stakeholdersexplaining who might benefit from each type of diagramand explores how to constructively review an architectural model.
Reverse evaluating Netflix's architecture

Reverse evaluating Netflix's architecture

October 30, 2019

Netflix is built on modern, efficient, and robust architectural concepts. Should you follow Netflix's lead and refactor your systems into microservices, split up big databases, and use polyglot approaches? Stefan Toth discusses an inverse architecture evaluation that embarc Software Consulting GmbH conducted to find the answers.
10 concepts the enterprise decision maker needs to understand about Hadoop

10 concepts the enterprise decision maker needs to understand about Hadoop

October 29, 2019

Figuring out Hadoop is daunting. However, understanding a set of basic yet important principles is all you need to cut through the hype and make intelligent enterprise decisions. Donald Miner breaks down modern Hadoop into 10 important principles you need to know to understand what Hadoop is and how it is different from the old way of doing things.
A few things engineers can learn from designers

A few things engineers can learn from designers

October 29, 2019

Big data is great for feeding ML algorithms, but you quickly face a bandwidth issue when interfacing with humans. The brain is a fantastic information-processing machine and has an unparalleled, innate ability to detect patterns. Sbastien Pierre explains what designers can teach engineers about creating new ways to make large volumes of data understandable at the human level.
Road traffic analysis and agile architectures

Road traffic analysis and agile architectures

October 29, 2019

Kristoffer Dyrkorn outlines an infrastructure that reduces the steep cost of road construction and maintenance. The system provides high-quality and near real-time information by integrating an unusual combination of sensors, devices, protocols, and software. Kristoffer discusses architectural challenges met and choices and mistakes made while trying to keep the architecture receptive to change.
The architect as coach

The architect as coach

October 29, 2019

As every organization becomes a software organization, senior leaders with no technology background regularly have to make technology decisions. To help their teams succeed, architects must learn to coach those leaders in how to deliver and operate high-quality services. James Stewart covers a range of techniques that help develop understanding and capability among senior leadership.
The bare-metal hypervisor as a platform for innovation

The bare-metal hypervisor as a platform for innovation

October 29, 2019

Some workloads work better on a hypervisor hosted within an existing operating system, while others work better on a hypervisor run directly on bare metal with no operating system host. Russell Pavlicek explores a growing breed of solutions that specifically leverage the architecture of a bare-metal hypervisor to address new concepts.
The evolution of evolutionary architecture

The evolution of evolutionary architecture

October 29, 2019

Evolutionary architecturealso known as just-in-time architectureis not as horrifying to developers and software architects as it once was. Rebecca Parsons explains how evolutionary architecture techniques and capabilities have evolved and explores how to apply evolutionary architecture in your work. If youve shunned evolutionary architecture in the past, it could be worth another look.
Unikernel-powered transient microservices: Changing the face of software architecture

Unikernel-powered transient microservices: Changing the face of software architecture

October 29, 2019

For years, software architects have worked with the idea that services are necessarily persistent: they must start and sit idle until they are needed. But lightweight, powerful microservices built on unikernels now allow services to appear precisely when needed and disappear when the need passes. Russell Pavlicek reviews unikernels and explains how they will change software architecture.
What I learned about architecture from running marathons

What I learned about architecture from running marathons

October 29, 2019

What do running and architecture have in common? Ted Malaska explains how long hours of training, blisters, and shin splints relate to life-changing lessons in software architecture.
Advanced analytics and the mystery of the missing jeans

Advanced analytics and the mystery of the missing jeans

October 28, 2019

Bob Rogers, Intel's chief data scientist for big data solutions, demonstrates the power of the question in analytics. Learn how different types of data, from cubes of structured data to live video streams from mobile systems, combine with analytical technology to inform the questions that can be answered.
Amazon for information: Building a modern data catalog

Amazon for information: Building a modern data catalog

October 28, 2019

A data catalog provides context to help data analysts, data scientists, and other data consumers (including those with little technical background) find a relevant dataset, determine if it can be trusted, understand what it means, and utilize it to make better products and better decisions. Aaron Kalb explores how enterprises build interfaces that make sourcing data as easy as shopping on Amazon.
Apache Flink: Streaming done right

Apache Flink: Streaming done right

October 28, 2019

Apache Flink is a full-featured streaming framework with high throughput, millisecond latency, strong consistency, support for out-of-order streams, and support for batch as a special case of streaming. Kostas Tzoumas gives an overview of Flink and its streaming-first philosophy, as well as the project roadmap and vision: fully unifying the worlds of batch and streaming analytics.
Apache Hadoop at 10

Apache Hadoop at 10

October 28, 2019

2016 marks the 10th anniversary of Apache Hadoop. This birthday provides us an opportunity to celebrate, as well as the chance to reflect on how we got here and where we are going.
Apache Hadoop meets cybersecurity

Apache Hadoop meets cybersecurity

October 28, 2019

The cybersecurity landscape is quickly changing, and Apache Hadoop is becoming the analytics and data management platform of choice for cybersecurity practitioners. Tom Reilly and Alan Ross explain why organizations are turning toward the open source ecosystem to break down traditional cybersecurity analytics and data constraints in order to detect a new breed of sophisticated attacks.
Apache Hadoop operations for production systems (Full Day)

Apache Hadoop operations for production systems (Full Day)

October 28, 2019

In this full-day tutorial, participants will get an overview of all aspects of successfully managing Hadoop clustersfrom installation to configuration management, service monitoring, troubleshooting, and support integrationwith an emphasis on production systems.
Architecting HBase in the field

Architecting HBase in the field

October 28, 2019

Most already know HBase, but many don't know that it can be coupled with other tools from the ecosystem to increase efficiency. Jean-Marc Spaggiari and Kevin O'Dell walk attendees through some real-life HBase use cases and demonstrate how they have been efficiently implemented.
Atom smashing using machine learning at CERN

Atom smashing using machine learning at CERN

October 28, 2019

Siddha Ganju explains how CERN uses machine-learning models to predict which datasets will become popular over time. This helps to replicate the datasets that are most heavily accessed, which improves the efficiency of physics analysis in CMS. Analyzing this data leads to useful information about the physical processes.
Automating decision making with big data: How to make it work

Automating decision making with big data: How to make it work

October 28, 2019

While many companies struggle to adopt big data, a number of industry leaders are leapfrogging big data adoption by going straight to automating core business processes. Andreas Schmidt presents examples from leading European companies that have overcome cultural, technical, and scientific challenges and unlocked the potential of big data in an entirely different way.
BI on Hadoop: What are your options?

BI on Hadoop: What are your options?

October 28, 2019

There are (too?) many options for BI on Hadoop. Some are great at exploration, some are great at OLAP, some are fast, and some are flexible. Understanding the options and how they work with Hadoop systems is a key challenge for many organizations. Jacques Nadeau provides a survey of the main options, both traditional (Tableau, Qlik, etc.) and new (Platfora, Datameer, etc.).
Big data-fueled feedback loops leveraging streaming data in SDN/NFV

Big data-fueled feedback loops leveraging streaming data in SDN/NFV

October 27, 2019

Software-defined networking (SDN) and network functions virtualization (NFV) hold tremendous potential to enable efficiency and flexibility in service delivery, but SDN/NFV environments are also highly complex and multilayered. Matt Olson explains why effective support for SDN/NFV services requires leveraging the tremendous amount of service and data streaming from the platform.
Breaking Spark: Top 5 mistakes to avoid when using Apache Spark in production

Breaking Spark: Top 5 mistakes to avoid when using Apache Spark in production

October 27, 2019

Spark has been growing in deployments for the past year. Neelesh Srinivas Salian explores common issues observed in a cluster environment setup with Apache Spark and offers guidelines to help setup a real-world environment when planning an Apache Spark deployment in a cluster. Attendees can use these observations to improve the usability and supportability of Apache Spark in their projects.
Building a scalable architecture for processing streaming data on AWS

Building a scalable architecture for processing streaming data on AWS

October 27, 2019

Analyzing real-time streams of data is becoming increasingly important to remain competitive. Siva Raghupathy and Manjeet Chayel guide attendees through some of the proven architectures for processing streaming data using a combination of cloud and open source tools such as Apache Spark. Watch a live demo and learn how you can easily scale your applications with Amazon Web Services.
Building a scalable data science platform with R

Building a scalable data science platform with R

October 27, 2019

Hadoop is famously scalable, as is cloud computing. R, the thriving and extensible open source data science software. . .not so much. Mario Inchiosa and Roni Burd outline how to seamlessly combine Hadoop, cloud computing, and R to create a scalable data science platform that lets you explore, transform, model, and score data at any scale from the comfort of your favorite R environment.
Building DistributedLog, a high-performance replicated log service

Building DistributedLog, a high-performance replicated log service

October 27, 2019

DistributedLog is a high-performance replicated log service built on top of Apache BookKeeper that is the foundation of publish-subscribe at Twitter, serving traffic from transactional databases to real-time data analytic pipelines. Sijie Guo offers an overview of DistributedLog, detailing the technical decisions and challenges behind its creation and how it is used at Twitter.
Building machine-learning apps with Spark: MLlib, ML Pipelines, and GraphX (Half Day)

Building machine-learning apps with Spark: MLlib, ML Pipelines, and GraphX (Half Day)

October 27, 2019

Jayant Shekhar, Amandeep Khurana, Krishna Sankar, and Vartika Singh guide participants through techniques for building machine-learning apps using Spark MLlib and Spark ML and demonstrate the principles of graph processing with Spark GraphX.