Discover our different series of webinars designed for data professionals.
Meet O'Reilly authors bestsellers! During the different sessions, our experts will discuss their O'Reilly books and professional experiences, and answer all the questions you may have. These interactive AMA sessions are a must for data professionals looking for inspiration.
11th April 2023 | 17:00 CET - 08:00 PST
AMA with Adi Polak, author of Scaling Machine Learning with Spark
Find out more about the O'Reilly book "Scaling Machine Learning with Spark" and its author! As Vice President of Developer Experience at Treeverse, Adi shapes the future of data & ML technologies for hands-on builders. She is also an advisor for conferences like Data & AI Summit, Scale by the Bay, and others.
AMA with Hala Nelson, author of Essential Math for AI
Find out more about Hala Nelson during this discussion about her experience writing the O'Reilly book dedicated to companies scrambling to integrate AI into their systems and needing an accessible guide walking their data teams through the math necessary to thrive in the AI field - focusing on real-world applications rather than dense academic theory.
AMA with Joe Reis, author of Fundamentals of Data Engineering
Find out more about the O'Reilly book "Fundamentals of Data Engineering" and its author! From statistical modeling, forecasting, machine learning, data engineering, and data architecture, Joe has an extensive experience that's worth listening to for any data professionals looking for inspiration!
Data Observability in Practice
Discover “Data Observability in Practice”, our series of webinars designed for data practitioners.
During the sessions, our expert will discuss how to get the most out of Data Observability in different applications such as Spark, dbt, and Snowflake.
20th April 2023 | 17:00 CET - 08:00 PST
How to guarantee data reliability in a Snowflake environment
Snowflake is a performing platform to leverage huge volumes of data. But when a data issue arises, it can be challenging to troubleshoot it before it impacts users. Join our expert and discover how to make data observable in a Snowflake environment to resolutions faster.
Make your data observable in dbt with Kensu
Troubleshooting data incidents can be a challenge in a complex dbt environment. Join this session and see how Kensu makes data observable in real-time so you can immediately find the root causes of data issues and prevent them from propagating across your environment.
The Power of Kensu with Apache Spark
Spark is powerful in transforming, organizing, and moving data. Still, it can leave data teams blind when it comes to data reliability. Join this webinar and discover with our expert how to monitor the health of a data pipeline within Spark when jobs are running, so you get immediate observability.
At the source
Join these sessions and listen to data experts covering a broad spectrum of topics to help you improve data reliability, lower maintenance costs, and scale up data usage.
30th March 2023 | 17:00 CET -O8:00 PST
Enabling autonomous data analytics at scale with data mesh
Join this 45-minute session and hear about the challenges of big data in enterprises and the implementation of data mesh at scale and what it means in terms of organization, processes and technical challenges. Finally, our experts will discuss scaling up analytics across different countries.
Data Catalog and Data Observability: Discover their synergies and benefits
In a complex data environment, it’s hard to see what’s happening to your data. Data observability is the solution. If you want to go a step further, exposing this information to the organization is a data-centricity enabler, and to achieve this, a Data Catalog is critical.
Data Catalog et Data Observability: Découvrez leurs synérgies et bénéfices
Dans un environnement de données complexe, il est de plus en plus difficile d'analyser vos données. La Data Observability est la solution. Si vous voulez aller plus loin, l'exposition de ces informations à l'organisation est un catalyseur de la centralisation des données, et pour y parvenir, un catalogue de données est essentiel.
Is Data Observability just a hype?
Data Observability is getting on the radar of the most efficient data teams and the leading consulting firms. How is this new category different from existing solutions? And why should data teams consider it? Watch this replay and separate the benefits from the hype.
Everything the CDO needs to know to guarantee reliable data.
CDO's work and strategy can be quickly challenged when data issues arise. Watch the replay and learn how data teams can be structured and work together to guarantee reliable data and minimize maintenance costs.
Boost your data strategy by leveraging Data Observability and Data Mesh
As data is not driving the business anymore but is the business, data teams have to manage data usage at scale. To do so, they can leverage two new trends: data mesh and data observability. Watch this webinar to find out more about both.
How to ensure reliable data in a Data Mesh infrastructure?
Data Mesh is revolutionizing our way of structuring and using data, but how can you implement data observability within such a framework? Discover how to minimize data issues when deploying such infrastructure.
7 Things to consider when choosing a Data Observability solution.
Adopting a Data Observability solution is key to providing reliable data and lowering maintenance costs. But how to choose the right one? Watch this replay and discover how to analyze the differences between existing solutions.
How can data teams scale up by going beyond "data quality?"
For years data teams have worked with data quality solutions, stumbling upon the same difficulties that stop them from scaling up their activities. Watch this replay and discover a new approach that offers data reliability at scale.
Don't miss out on our Intro to Data Observability sessions!
Every first Tuesday of the month, join our team to get an introduction to Data Observability, see how the Kensu platform works, and ask any questions you have about it.