Schedule and Sessions

DataStax Accelerate 2020 Agenda

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Wednesday, June 3, 2020

Distributed Risk Calculate Engine

Wednesday, June 3, 2020 | | 10:40 AM - 11:20 AM

Analytics Event Streaming Use Cases

Robert Czupiol | Principal Expert - Architect, ING Bank Slaski Poland

During the presentation, I want to show how we developed a distributed risk calculate engine base on DataStax Enterprise (DSE) platform. In this project, we used, of course, the Cassandra database, Spark build-in DSE, DSEFS, AlwaysOn SQL, Advanced Replication and some of own stuff written in Java. The major problem, in this case, was two types of calculations - everyday batch and triggered by event on-demand. 
 
 I'll describe our road to make this solution bulletproof (ha, reliable) and also fast enough for business. So I have to show some architecture diagrams and some meat (Java code). This talk will be full of pitfalls, tips and tricks. 
 
 So I'm going to talk about some technology stuff from DSE (included advantages and disadvantages of this solution) and I'm going to show how use them in practice to make an awesome solution.

Robert Czupiol | Principal Expert - Architect, ING Bank Slaski Poland

Principal Expert Architect and Java developer in ING Bank Slaski - Poland. 6 years exp in Cassandra on production - architect, developer and devops in one ninja person. Certificated in Cassandra during Cassandra Summit (San Jose). Speaker at DataStax Accelerate, Premier Apache Cassandra Conference (Washington DC) and some domestic conference like JDD Cracow, SpreadIT Katowice and some meetups. Trainer at Cassandra workshops.

DataStax Enterprise 6.8 - Cloud-Native Apache Cassandra for Data at AI-Scale

Wednesday, June 3, 2020 | | 11:35 AM - 12:15 PM

Apache Cassandra™ Analytics Graph

Jonathan Lacefield | Product Manager, DataStax

This session highlights all of the recent product enhancements in the DataStax Enterprise product while also giving the audience some insight into what's coming next.

Jonathan Lacefield headshot

Jonathan Lacefield | Product Manager, DataStax

Jonathan is a Product Manager with DataStax focused on the strategy and vision for the DataStax Enterprise Server platform which includes Cassandra, Graph, Analytics, and Search. A 6-year veteran of DataStax, Jonathan has helped dozens of companies ideate, design, develop, and deploy global-scale applications built on DataStax Enterprise.

Cassandra Upgrade in Production: Strategies and Best Practices

Wednesday, June 3, 2020 | | 11:25 AM - 12:15 PM

Apache Cassandra™

Laxmikant Upadhyay | Cassandra SME, Ericsson

This session will cover how to perform Cassandra cluster upgrades in production effectively. We will learn about best practices for planning and executing Cassandra upgrades. We will also discuss and understand different Cassandra upgrade strategies and their respective pros and cons so that Operations team can select the appropriate strategy. Finally, we will talk about standard upgrade issues and how we have created custom solutions at Ericsson to overcome those issues.

The session is useful for Cassandra Operators, Administrators and other Cassandra users involved in planning, performing and testing upgrades.

Laxmikant Upadhyay headshot

Laxmikant Upadhyay | Cassandra SME, Ericsson

Laxmikant Upadhyay is an Apache Cassandra enthusiast with over 9 years of experience in developing multiple distributed scalable and HA software solutions. Currently, he works as an Architect and Cassandra consultant with Ericsson R&D. He is core contributor of open source Cassandra Audtiing plugin ecaudit . He has designed and implemented multiple distributed, fault tolerant, scalable and HA software systems. He has helped many teams in designing efficient and scalable data model and performance tuning of C*.

Graph in Cassandra: A Deep Dive into Storage Layout and Graph Data Modeling

Wednesday, June 3, 2020 | | 11:35 AM - 12:15 PM

Developer
Apache Cassandra™ Graph

Denise Gosnell | Chief Data Officer, DataStax

When you are using DataStax Graph, you are working with graph data in Cassandra. This session will give you a peek under the hood to illustrate the fundamental concepts of working with graph data structures in Cassandra. We will walk through how we use primary keys, partition keys, clustering columns, and materialized views to create vertices and edges across Cassandra partitions.

You will take away two main new ideas from this talk. First, you will understand how we model graph data as distributed adjacency lists within Cassandra. Second, you will learn a list of 10 best practices for modeling and using your data as a graph.

The extended version of this content is available in 'The Practitioners Guide to Graph Data' by D. Gosnell and M. Broecheler.

Denise Gosnell headshot

Denise Gosnell | Chief Data Officer, DataStax

Dr. Gosnell's career centers on her passion for examining, applying, and evangelizing the applications of graph data. Her most recent book, The Practitioners Guide to Graph Data with co-author Dr. Matthias Broecheler, details the best practices of working with graph data in Casssandra. In addition to her newly published book, she has patented, built, published, and spoken on dozens of topics related to graph theory, graph algorithms, graph databases, and applications of graph data across all industry verticals.

Prior to her role with DataStax, Gosnell worked in the healthcare industry, where she contributed to software solutions for permissioned blockchains, machine learning applications of graph analytics, and data science. She earned her Ph.D. in Computer Science from the University of Tennessee as an NSF Fellow. Her research coined the concept "social fingerprinting" by applying graph algorithms to predict user identity from social media interactions.

2020 Vision for Your Data Model

Wednesday, June 3, 2020 | | 1:20 PM - 2:00 PM

Apache Cassandra™

Patrick McFadin | VP Developer Relations, DataStax

As the state of application infrastructure constantly changes, Cassandra needs to keep pace with changes. Over the past year, there have been some interesting changes proposed that will keep Cassandra the best database for building applications.

This includes:

  • changes to the CQL protocol for more flexible queries
  • transactions with better guarantees
  • indexing choices that fit your use case

These are just a few ideas that have been discussed. I’ll talk about the pros and cons of each and any late-breaking news on changes. Hopefully, you’ll clearly see the future is bright for our favorite database!

 Patrick McFadin headshot

Patrick McFadin | VP Developer Relations, DataStax

Patrick McFadin has been working with Apache Cassandra and data modeling techniques for almost 10 years. He has also worked as Chief Evangelist for Apache Cassandra and consultant for DataStax, where he helped build some of the largest and exciting deployments in production. Previous to DataStax, he was Chief Architect at Hobsons and an Oracle DBA/Developer for over 15 years.

Going Multi-Cloud with the DataStax Enterprise Kubernetes Operator

Wednesday, June 3, 2020 | | 1:20 PM - 2:00 PM

Cloud Kubernetes

Christopher Bradford | Product Manager, DataStax

Deciding when and how to go multi-region or even multi-cloud is no small task. Navigating the gauntlet of various provider offerings and Virtual Private Cloud implementations is daunting.

Additionally, secure connectivity and service discovery across Kubernetes clusters requires cloud networking acumen. Plus, are there any hidden costs or operations concerns associated with this kind of deployment? We will explore all of these points and more culminating in a demonstration.

Christopher Bradford headshot

Christopher Bradford | Product Manager, DataStax

Christopher has a passion for enabling efficiency through automation. From promoting effortless scaling via Cassandra to DevOps pipelines with infrastructure automation and containers he is here to get work done and enable operators to reset easy. He has developed applications consumed by millions and manned a Network Operations Center during the graveyard shift. In his heart he is a proponent for freedom from the tedious and growth through working smarter not harder.

New Secondary Indexing in DataStax Enterprise - Storage Attached Index

Wednesday, June 3, 2020 | | 2:15 PM - 2:55 PM

Marc Selwan | Sr. Product Manager - Server Team, DataStax

Caleb Rackliffe | Technical Lead, DataStax

Application requirements are always evolving and changing. While modeling your data after your queries gets you the best performance, sometimes you just want to add a bit of flexibility to your data models without having to remodel everything. In this talk, learn all about the new secondary indexing engine we're building into DataStax Enterprise to give you some flexibility in your applications without a ton of extra overhead.

Marc Selwan headshot

Marc Selwan | Sr. Product Manager - Server Team, DataStax

Marc has been working at DataStax for over 5.5 years doing everything from helping customers build awesome applications with Apache Cassandra and DataStax Enterprise to working with our amazing engineering teams to build some great new features for our database.

Caleb Rackliffe headshot

Caleb Rackliffe | Technical Lead, DataStax

Graduated from UC Irvine in 2008 w/ a B.S in Information & Computer Science. Worked across companies in medical informatics, finance, and e-commerce before landing at DataStax in 2014. First deployed C* 0.7 in 2010 and hasn't looked back.

RESTing Easy with Spring and Cassandra

Wednesday, June 3, 2020 | | 2:15 PM - 2:55 PM

Apache Cassandra™

Brian Hess | Strategic Solution Engineer, DataStax

REST APIs have been around for a long time, but they are still a mainstay for modern applications and a way to interact with persistent data stores (such as databases). Spring Boot is a common framework for building such APIs.
 
 This talk will discuss Spring Boot, how to use it with Cassandra and DataStax Enterprise, how to leverage object mappers (such as Spring Data and the DataStax Java Driver Object Mapper), and some tools to make this all really simple... so you can get back to resting :P

Brian Hess headshot

Brian Hess | Strategic Solution Engineer, DataStax

Brian has been in the data and analytics space for over 20 years, ranging from government to data mining applied research to analytics in enterprise data warehousing and NoSQL engines. Currently, Brian is a Strategic Solutions Engineer, working with some of DataStax's largest customers, and has held several other technical roles including Product Director for Analytics and Partner Architect. Brian started his career as a Cryptologic Mathematician in the US Department of Defense, where he worked on Data Science, Data Mining, and large scale data research. He then joined Netezza as Principal Mathematician and Director of Advanced Analytics, pushing Netezza to address new and advanced use cases. Brian has Masters degrees in both Mathematics and Computer Science from the Johns Hopkins University.

Connecting Spark and Cassandra in the Cloud

Wednesday, June 3, 2020 | | 3:15 PM - 3:55 PM

Apache Cassandra™ Analytics Cloud Graph

Russell Spitzer | Software Engineer, DataStax

Sure you can connect Spark to Cassandra on-premises but have you ever done it… in the cloud?

With services like DataStax Astra, all of your data can live in the cloud and with providers like Databricks, Amazon EMR and Google DataProc all of your Analytics can live in the cloud as well! But did you know that you can connect these services together? With the new cloud-enabled DataStax Spark Connector, it's possible to connect all these services with a minimal amount of configuration.

Come and learn all the best tips and tricks for getting your Cloud Cassandra Analytics game up to speed!

Russell Spitzer Headshot

Russell Spitzer | Software Engineer, DataStax

After completing his PhD work at University of California, San Francisco, Russell joined DataStax to fulfill his deep longing to work with distributed systems. Since then, he has worked with Cassandra, Spark, Tinkerpop, Hadoop, as well as a myriad of other big data technologies. His favorite hobby is finding new ways of bringing these technologies together so that everyone can benefit from the new information age.

The Missing Manual for Time Window Compaction Strategy

Wednesday, June 3, 2020 | | 3:15 PM - 3:55 PM

Apache Cassandra™

Alice Lottini | Vanguard Architect, DataStax

In this session, we will be taking an in-depth look at Time Window Compaction Strategy (TWCS): what it is for, how it works internally, how to tune it and how to work with it at scale. We will look at how to use DSBench to performance test TWCS for your use case, with some practical examples.

Alice Lottini headshot

Alice Lottini | Vanguard Architect, DataStax

Alice joined DataStax five years ago. She spent most of this time working with enterprises to design, deploy and scale a variety of applications based on DataStax. She recently moved to the Vanguard team where she continues to focus on strategic projects, both internal and external. She has a strong interest in the Cassandra internal mechanisms and how they perform at scale.

Prior to joining DataStax, Alice graduated in Computing Engineering from Politecnico di Torino. She worked for 12 years as a developer and technical architect in several industries, always with a focus on databases and data design, mostly on relational technologies - until she started using DataStax and never looked back!

Accelerate 2019

Not sure where to start? Check out all the great sessions from Accelerate 2019 to get a feel for what you can expect.

See Keynotes and Sessions
Video

5 Steps to an Awesome Apache Cassandra™ Data Model

"As more customers adopt digital channels over traditional brick and mortar stores and call center channels, there is a need to handle high traffic volume fluctuations, and ability to scale dynamically in a cost-efficient way. This is a common challenge faced across the industry. Verizon solved this challenge for its wireless OSS/BSS stack using DSE Cassandra and Spark. DSE enabled Verizon to transform its OSS/BSS platform from a legacy mainframe-based monolithic stack to a highly scalable cloud-enabled stack. This new platform enables better customer experience through high availability and scalability. Verizon was the only major wireless provider that was able to handle the Apple iPhone pre-order volume spike, and was available to take customer orders at 3 a.m. ET when the floodgates were opened. DSE migration addresses the economic scalability and low latency needs of 5G and IoT. In addition to the enhanced customer experience, the DSE migration eliminated 90% of operations cost. Migration of a large-scale application presents unique challenges that are not encountered in green field development. This presentation focuses on the challenges faced in adopting Cassandra for transactional data that is migrated from traditional RDBMS/mainframe. The presentation will cover details on the data model, data ingestion, and data reconciliation techniques that enables digital transformation."

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Video

Data as a Service: Transforming Enterprise Data into Modern Applications

Keith develops strong lasting relationships at CTO Boost. He makes every client his priority, whether it is a start-up, non profit or multinational corporation, Keith treats his connections with special attention and tailored approach.​ A highly experienced professional in sales and marketing, Keith’s expertise covers data and cloud computing strategy, AI, blockchain, AR/VR, ML and NLP.

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Video

Day 1 Opening Keynotes

Developers continue to accelerate change in the world. Every day new tools emerge that help them create better experiences across every aspect of life. Even though easy-to-use tools make it faster to develop better products, building apps that perform regardless of data location, size, and format remains a challenge. Similarly, operations and IT teams responsible for the deployment, upkeep, and support of new applications are simultaneously challenged and supported by new ways to deploy, be it on premises, in the cloud, or with a hybrid approach. Watch as DataStax CEO Billy Bosworth shares how DataStax is working to make it easier for developers and operators to leverage new technologies and deployment options to accelerate the speed of business transformation, Deloitte Consulting Principal Mark White talks about Deloitte’s multi-model AI solutions on DataStax Enterprise Graph, diving into Deloitte’s MissionGraph and Opioid360 and how they help their clients address some of the most complex real-world problems of today and Judy Meyer, Microsoft VP of WW ISV Business, discusses how Microsoft Azure is helping companies achieve their transformational journey.

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