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Weekly virtual office hours on BigData technologies and architecture

We know how challenging the BigData landscape can be and now, when we are all working remotely because of Covid19, we believe it's the perfect time to move our office hours to a weekly virtual event.

NEXT SESSION:
09:00 PDT 12:00 EDT 16:00 GMT 18:00 CEST
Live in
00 00 00

SCHEDULE:

  • Avro, Parquet or JSON? What to use and, more importantly, how to manage schemas
    In this session, we'll review the differences between the most important Big Data file formats for Event Streaming, their pros and cons and how to choose the best fit for a specific use case. We'll also take a look to the proper architecture to provide greater control over data quality using Schema Management. Need to add a new column to a downstream database? You don’t need an involved change process and at least 4 meetings to coordinate 15 teams. Join us to learn how it's possible to reduce operational complexity in the application development cycle.
  • BigData Q&A open to all - ask our experts anything!
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Every Wednesday

09:00 PDT 12:00 EDT 16:00 GMT 18:00 CEST

Our team of experts will be here to answer all your BigData questions, live. Every week we will begin with a short presentation on a bleeding edge topic, and then follow up with a Q&A session that is open for all.

Previous sessions:

  • May 27th, 2020

    Elasticsearch: Performance and Stability in Production

    There are so many Elasticsearch clusters out there, and many of them suffer from performance and stability issues because of mis-configuration or incorrect capacity planning. In this session we will look at the common errors people make when deploying Elasticsearch clusters, and offer best-practices, do's and don'ts so it doesn't happen to you as well.

  • May 20th, 2020

    Big Data Architectures on Amazon Web Services (AWS)

    This session will showcase typical Big Data architectures on AWS and show you how to build them yourself. From building Data Warehouses and Data Lakes to make huge amounts of data queryable, orchestrating data pipelines and ETL processes, ingesting data at scale, to handling and computing on high-velocity data streams. These are huge tasks but are relatively easy to get done with AWS, and this session will show you where to begin.

  • May 13th, 2020

    Kafka Streams: a gentle comparison with other real-time frameworks

    In this session we will introduce Kafka Streams, a client library for building real-time processing applications, where the input and output data are stored in Kafka clusters. We will compare it with other popular real-time frameworks such as Flink and Spark Structured Streaming and talk about when to use which one.

  • May 6th, 2020

    Alerting with Elasticsearch and the Elastic Stack

    The Elastic Stack is being used almost everywhere today for application and system monitoring. In this session we will show you how to add alerting to any Elastic-based monitoring system, so you can also get alerted via Email, Slack, PagerDuty and more when any of the alerting rules you defined gets triggered.

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