Online or onsite, instructor-led live Apache Druid training courses demonstrate through interactive hands-on practice how to perform data analysis using Druid.
Druid training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Apache Druid training can be carried out locally on customer premises in Osaka or in NobleProg corporate training centers in Osaka.
Osaka's Kokusai Centre is on the top floor of a 31-storey landmark building in Honmachi within the city's main business distr...
Osaka's Kokusai Centre is on the top floor of a 31-storey landmark building in Honmachi within the city's main business district. This centre features wide windows letting in lots of natural light. Osaka is an attractive choice for foreign enterprises seeking to enter the Japanese market, particularly in the service and IT sectors. The Kansai region is home to top global companies from the electrical equipment, chemical, food, pharmaceutical, and finance industries. In recent years, leading companies in the environmental and energy industries have set up business bases here and the Kansai region is a centre for battery production. The centre is highly accessible as it's just five minutes' walk from both Honmachi subway station and Osaka/Umeda station and Shinsaibashi/Namba station, as well as being less than 40 minutes from either Osaka International Airport or Kansai International Airport. The centre is close to many local amenities including restaurants and hotels.
Apache Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo.
In this instructor-led, live course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.
Format of the Course
Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
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