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 trainings in Boston can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
MA, Boston - Federal Street
101 Federal Street Suite 1900, Boston, united states, 02110
The office in Boston's Federal Street is a recently renovated office complex set in the heart of the financial distric...
The office in Boston's Federal Street is a recently renovated office complex set in the heart of the financial district, just one block from Congress Street. Based on the 16th and 19th floors, the office offers spectacular views of the city. Finance and tourism are some of the prime businesses in the state capital, which is the largest city in New England. With its many colleges and universities, Boston is also regarded an international center of higher education, with students contributing more than $4billion to the economy annually. It has a strong reputation for medicine, biotechnology and research. It is ranked in the top 20 of global financial centers and number one for innovation. Boston also has an historic seaport which supports tourism, industry and fishing.
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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