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Spark: The Definitive Guide: Big Data Processing Made Simple
درهم 220
تفاصيل السلعة
العمر
2 - 5 سنوات
الحالة
بدون مشاكل أو عيوب ملحوظة
النوع
غلاف ورقي
مدى الإستخدام
تم الاستخدام مرات قليلة
تم النشر بتاريخ: 2 يوليو 2026
الوصف
Essential Reading for Data Engineers.
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework.
With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.
You'll explore the basic operations and common functions of Spark's structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark's scalable machine-learning library.
Get a gentle overview of big data and Spark
Learn about DataFrames, SQL, and Datasets Spark's core APIs through worked examples
Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames
Understand how Spark runs on a cluster
Debug, monitor, and tune Spark clusters and applications
Learn the power of Structured Streaming, Spark's stream-processing engine
Learn how you can apply MLlib to a variety of problems, including classification or recommendation
Pickup in Motor City
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework.
With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.
You'll explore the basic operations and common functions of Spark's structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark's scalable machine-learning library.
Get a gentle overview of big data and Spark
Learn about DataFrames, SQL, and Datasets Spark's core APIs through worked examples
Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames
Understand how Spark runs on a cluster
Debug, monitor, and tune Spark clusters and applications
Learn the power of Structured Streaming, Spark's stream-processing engine
Learn how you can apply MLlib to a variety of problems, including classification or recommendation
Pickup in Motor City
منطقة
موتور سيتي, دبي, الإمارات
- المحاسبة / المالية
- السيارات
- الصحة والجمال
- التنظيف /التدبير المنزلي
- الإنشاءات
- شيف / طباخ
- خدمة العملاء / مركز الإتصال
- إدارة وتحليل البيانات
- التصميم
- سائق / توصيل
- تعليم
- هندسة
- إدارة الفعاليات والمناسبات
- عامل / فنّي
- الموارد البشرية - الإدارة
- تكنولوجيا المعلومات
- خدمات قانونية
- خدمات لوجستية و توزيع
- التصنيع / التخزين
- كابتن بحري / بحار
- التسويق/الإعلان
- الاعلام,الفنون والترفيه
- الطب / الرعاية الصحية
- عقارات
- تشغيل المطاعم
- المبيعات / تطوير الأعمال
- السكرتارية / المكتب الأمامي
- الأمن /الحماية
- رياضة و لياقة
- السفروالضيافة
- أخرى
- يبحث عن عمل
English