Trypsin
发表于 2025-3-23 10:44:58
https://doi.org/10.1007/978-1-4842-3147-0Apache Kudu; Kudu; Apache Spark; Spark; Apache Impala; Impala; Big Data; Hadoop; Apache; Cloud; Cloud computin
Indolent
发表于 2025-3-23 15:43:07
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流浪者
发表于 2025-3-23 21:07:51
High Performance Data Processing with Spark and Kudu,Kudu is just a storage engine. You need a way to get data into it and out. As Cloudera’s default big data processing framework, Spark is the ideal data processing and ingestion tool for Kudu. Not only does Spark provide excellent scalability and performance, Spark SQL and the DataFrame API make it easy to interact with Kudu.
esthetician
发表于 2025-3-23 23:58:03
Big Data Warehousing,In this chapter, I’ll discuss how big data (and more specifically Cloudera Enterprise) is disrupting data warehousing. I assume the readers are familiar with data warehousing so I won’t cover the basics and theory of data warehousing.
Nonporous
发表于 2025-3-24 03:57:41
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启发
发表于 2025-3-24 10:22:34
Big Data Case Studies,Big data has disrupted entire industries. Innovative use case in the fields of financial services, telecommunications, transportation, health care, retail, insurance, utilities, energy, and technology (to mention a few) have revolutionized the way organizations manage, process, and analyze data.
Arrhythmia
发表于 2025-3-24 11:31:48
Butch QuintoDetails how to integrate popular third-party applications and platforms such as StreamSets, ZoomData, Talend, Pentaho, Cask, Oracle, and SQL Server with next-generation big data technologies such as K
Anticlimax
发表于 2025-3-24 16:34:02
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NEEDY
发表于 2025-3-24 23:04:58
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LIMN
发表于 2025-3-25 01:23:03
Butch Quinto comprehension. The first section covers areas of controversy in the diagnosis or management of each disease, and another section discusses pitfalls to avoid, where the inexperienced clinician might get in trou978-1-4939-1726-6