Our Training Courses

Elasticsearch is today's de-facto standard for centralized logging and real-time analytics for system metrics and business data. What started as a full-text search engine quickly became much, much more than just that.

This intensive 2-day hands-on workshop is designed to teach you Elasticsearch from the ground up. You will start by learning the basics of full-text search and information retrieval and the important Elasticsearch APIs: Document, Indexes, Queries and Aggregations APIs.

Only once you are fluent with the Elasticsearch APIs you can really use this powerful technology to its full potential. Formerly known as ELK, the Elastic Stack has several components (Elasticsearch, Logstash, Kibana, Beats, and several Stack-wide solutions), and you will learn how to make good use of them all.

Kafka is the world's most widely used queue system and message bus, and knowing how to use it correctly is paramount to keeping it stable and highly-performant.

This one day hands-on workshop is designed to get you into the details, and sharing a lot of good advice and important information. Learn directly from our experts who consult on Kafka projects daily how Kafka should be used, and what mistakes to avoid.

OpenSearch is today's de-facto standard for centralized logging and real-time analytics for system metrics and business data. What started as a full-text search engine quickly became much, much more than just that.

This intensive 2-day hands-on workshop is designed to teach you OpenSearch from the ground up. You will start by learning the basics of full-text search and information retrieval and the important OpenSearch APIs: Document, Indexes, Queries and Aggregations APIs.

Only once you are fluent with the OpenSearch APIs you can really use this powerful technology to its full potential.

This 1-day course is aimed at developers and operations people who need to be able to maintain Elasticsearch clusters in production. In this course you will learn about the various parts that make up a cluster, how it operates, and many do's and don'ts learned by experience over the years.

Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources.

Proven at scale in a variety of use cases at Airbnb, Comcast, GrubHub, Facebook, FINRA, LinkedIn, Lyft, Netflix, Twitter, Uber and many more, in the last few years Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments over Object Stores, HDFS, NoSQL and RDBMS data stores.

Join industry giants who use Presto to provide human analysts and automatic processes alike access for querying data at huge scales, across many data-sources (S3, SQL databases, NoSQL databases, and more).

Apache Spark is the main platform for deep BigData analysis. Companies from all industries - Finance, AdTech, Cyber, Commerce and Internet are using Spark in different modes for ETL, BI, Machine-learning and stream-processing. This developers course gives you hands-on experience with Spark basic and advanced modules, and is focused on Spark DataFrames - the data-optimized API of Spark. Teaching and exercises are done on a cloud environment (AWS EMR, S3 and Zeppelin).

Learn all about Infrastructure as Code: from concepts, to serverless and container technologies, including several hands-on labs to teach you best practices for managing infrastructure in public cloud and Kubernetes.

BigData Boutique are hosting Paul Stack from the Pulumi team who will deliver this hands-on workshop on Infrastructure as Code, and how to use Pulumi to achieve modern infrastructure provisioning and management patterns.

We will begin with an introduction talk, briefly covering a number of topic, and then transition to hands-on labs to teach you the practicalities of using infrastructure as code to manage public cloud infrastructure on AWS and Kubernetes. You will leave knowing everything you need to be successful with infrastructure as code in your team.

This workshop will be delivered in English only, and will be all hands-on - so bring your laptop.

What do cancer detection, sentiment analysis, image recognition, machine translation and playing atari games have in common? These are all complex real-world tasks, and the goal of artificial intelligence (AI) is to tackle these with powerful mathematical and programmatic tools. In this course, you will learn the foundational principles that enables machines to make autonomous decisions and practice implementing some of these systems. The main goal of the course is to equip you with the tools to tackle new AI problems you might encounter in your field of interest.

This 16 hour instructor-led class introduces participants to the Big Data & Machine Learning capabilities of Google Cloud Platform. It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

How can we store or process large volumes of data? how to deal with a massive stream of events coming at high velocity? what really is BigData? How does a BigData-ready system look like? and how can Clouds help?

The topics of BigData and Cloud technologoies are being mentioned a lot, but it's hard to know where to start or what technologies to use.

Join our internationally renowned instructors for a full day packed of knowledge sharing. Let us give you an overview with short deep-dives into the vast landscapes of BigData, everything you need to get started with the technologies that changed the world.

Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.