Reviews
It's a good book for the first time in my class to learn sparks. I read it in addition to research because it was not easy.
The book is good, but the book is bad, and you wonder if it's new.
Jules Damji et al.: Running Spark
As the data gets bigger and faster and faster, and as it is given in many forms, large-scale processing for analysis and machine-murning is also required. The alternative to effectively handling this massive walkway is Apache sparks. Spike 3. This updated revision, including x, shows data engineers and data scientists why the structure and integration of sparks is important. We do data analysis from simple to complicated, and we systematically explain how machine-muting algorithms can be used. Step-by-step practice, code examples and laptops can do the following. Learn a high-level set of APls using Python, SQL, scalar, and Java Use sparks and SQL engines to test the sparks by means of spark settings and spark UI, Tuning, Debugging JAM, FAM, CSV, Eve, AdoC, Drive, S3, Kaf, etc.) Connect data sources such as Presumption and SERVING, Using Pres and SCHRI and Meltinging, Usuring, and Meling, or Melting, or RL, or Mapping, or melting the pipe. Using the PCRL, write the PCBRLRL and recording of the pipe and recording the PCI to build the public.
Korean title: 러닝 스파크
Korean author: 줄스 담지 외
Korean publisher: 제이펍
ISBN-13: 9791191600889
Reviews
It's a good book for the first time in my class to learn sparks. I read it in addition to research because it was not easy.
The book is good, but the book is bad, and you wonder if it's new.
