Webinars

Follow our webinars series so you can become a database-deploying wizard.

Previously Recorded

Gremlin Traversals for the SQL User

25 July, 2017 • 60 min

Graph databases are the fastest growing database engine. Their power and popularity stem from how they store their data - with both the data points and relationships between points having equal priority. This natural data storage model makes graph databases an excellent fit for recommendation engines, fraud detection, and deep data analysis.

With this session, we approach Graph databases from the perspective of a seasoned SQL user looking to skill up on Graph technology. To make use of graph databases, users need a query language that unleashes the power of graph and allows them to query data as vertices and edges. Gremlin is one of the most popular of those query languages, and is the language of choice for the Apache TinkerPop graph computing framework. Gremlin is a groovy-based DSL that is supported by the majority of graph databases available today.

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Keith LohnesSoftware Engineer @ IBM Watson Data Platform

An Introduction to MongoDB at Compose

14 March, 2017 • 30 min

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Wesley DavidSupport Engineer @ Compose

Building a Multi-Database Application with Compose

13 December, 2016 • 60 min

The cloud marketplace — as well as the developers building applications and services atop it — require flexible options on deployments and platform. They need the ability to provision databases across multiple vendors and platforms. Compose is a managed platform for industry best-practice delivery and configuration of open source technologies, including: High availability, Automated backups, True elastic scalability, and Database management via an intuitive, consistent dashboard. In this webinar, learn how platforms like Compose can help you build battle hardened, open source data layers across leading cloud vendors like IBM Bluemix, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

Chris Bienko is the co-author of several publications on modern database and analytics technologies, including Big Data Beyond the Hype and multiple IBM RedBooks. As part of IBM’s World-Wide Technical Sales organization, he supports enterprises in their adoption of the IBM Cloud Data services portfolio. Over the better part of three years, he has navigated the cloud computing domain, enabling IBM customers and sellers to stay abreast of these rapidly evolving technologies.

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Chris BienkoAuthor & Technical Sales Executive @ IBM

Getting started on Compose for MySQL

7 December, 2016 • 33 min

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Chris WinslettDeveloper of MySQL @ Compose

IoT - Databases and Devices

17 November, 2016 • 39 min

Data is all around us waiting to be gathered, pushed into databases and analyzed. The Internet of Things is a still emerging technology and there's a lot of different technlogies, protocols and devices to consider. In this webinar we'll be looking at some of the practicalities of bringing databases and the Internet of Things together.

We will start with a simple sensor and look at the ways to get that online. Starting from the 'first mile' with from USB and WiFi, to Bluetooth up to local systems and LoRa and GSM to systems in the cloud. There'll be a look at websockets and MQTT and other protocols to transport your sensor information up to and around the cloud. From there, we'll look at logging data in MongoDB, PostgreSQL, updating key/value stores like Redis and turning MQTT into RabbitMQ, all using Node Red as an example.

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DJ Walker-MorganTechnical Content Creator @ Compose

ScyllaDB on Compose

9 November, 2016 • 28 min

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Eyal GutkindSolution Architect @ Scylla

A Real Use Case with NiFi, the Swiss Army Knife of Data Flow

2 November, 2016 • 38 min

There are many tasks which require moving data. Some streaming, some syncing, and some just putting things in their place. Sounds easy until you get started: What happens when something fails? Where did that record come from? The inserts are backing up due to a spike in traffic. We might drop some data. My simple data export/import script just got real complicated when we added that third party data enhancement check. We lost a whole week's data dump when we deleted the source records and the archive process failed! How do I know what's happening inside my ETL processing?

This webinar will be a deep dive on how NiFi, the data flow server born in the NSA, works. Yet it will still be broad enough to get you up to speed quickly. In this presentation, we will cover: Installing and configuring a NiFi server on AWS. Deploying a custom Javascript processor based on npm and Node. Looking at how the core of NiFi is extended with Java. Review some real world examples of data flows. Open it up for questions.

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Hays HuttonTechnical Content Creator @ Compose