A Dictionary of the First or Oldest Words in the English Language: From the Semi-Saxon Period of A.D. 1250 to 1300 Herbert Coleridge
Building Python Real time Applications with Storm: Learn to process massive real-time data streams using Storm and Python—no Java required!
- Höfundur
- Útgefandi
- Tungumál
- enska
- Gerð
- Flokkur
Óskáldað efni
Big data is a trending concept that everyone wants to learn about. With its ability to process all kinds of data in real time, Storm is an important addition to your big data “bag of tricks.” At the same time, Python is one of the fastest-growing programming languages today. It has become a top choice for both data science and everyday application development. Together, Storm and Python enable you to build and deploy real-time big data applications quickly and easily. You will begin with some basic command tutorials to set up storm and learn about its configurations in detail. You will then go through the requirement scenarios to create a Storm cluster. Next, you’ll be provided with an overview of Petrel, followed by an example of Twitter topology and persistence using Redis and MongoDB. Finally, you will build a production-quality Storm topology using development best practices.
© 2015 Packt Publishing (Rafbók): 9781784392871
Útgáfudagur
Rafbók: 2 december 2015
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