Spark Of Lightning

Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow

Fishing for Lightning gathers together acclaimed poet and critic Sarah Holland-Batt's celebrated columns on contemporary Australian poetry. In fifty illuminating and lively short essays on fifty poets, Holland-Batt offers a masterclass in how to read and love poetry, opening up the music of language, form, and poetic technique in her casual and conversational yet deeply intelligent style. From the villanelle to the verse novel, the readymade and the remix to the sonnet, Holland-Batt's essays range across the breadth of contemporary poetry, but also delve into the richness of poetic and literary history, connecting the contemporary to the ancient. Dazzling in its erudition, but always accessible and entertaining, Fishing for Lightning convinces us of the power of poetry to change our lives.

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables

Lightning Physics and Lightning Protection presents a comprehensive and up-to-date review of lightning, including its hazards and protection techniques. The authors first discuss the effectiveness of conventional protective measures, supply technical advice and practical recommendations, and explore the prospects for the preventive control of a lightning leader, followed by a discussion of the initiation of a leader and return stroke and subsequent components. After including measurements useful for understanding lightning and its effects, the book describes the mechanism of lightning discharge processes. It then examines the effects of large aircraft, high-voltage lines, and other high-altitude constructions on lightning trajectory and leader attraction. The book concludes by studying the action of lightning's electrical and magnetic fields and the lightning current on industrial premises, power transmission lines, underground communications, aircraft and their electrical circuits, and the induction of a dangerous overvoltage. A clear, straightforward, and systematic presentation of complicated material, Lightning Physics and Lightning Protection provides deep insight into the physics of lightning, simple analytical estimates, and a detailed illustration of effects by computer simulation, making this resource essential for those who investigate lightning phenomena and who have to solve practical protection problems.

Have you ever been shocked by touching a doorknob? Do you know what causes the shock? Written for students in grade 4, Static Electricity and Lightning explains static electricity and how it relates to lightning. This 22-page book includes a glossary of bold-faced vocabulary words, reading activities, an index of terms, and an answer key.

Lightning: Physics and Effects is the first book that covers essentially all aspects of lightning, including lightning physics, lightning protection and the interaction of lightning with a variety of objects and systems as well as with the environment. It is written in a style that will be accessible to the technical non-expert and is addressed to anyone interested in lightning and its effects. This will include physicists, engineers working in the power, communications, computer and aviation industries, meteorologists, atmospheric chemists, foresters, ecologists, physicians working in the area of electrical trauma and architects. This comprehensive reference volume contains over 300 illustrations, 70 tables containing quantitative information and a bibliography of more than 6000 references.

Percy Jackson is a good kid, but he can't seem to focus on his schoolwork or control his temper. And lately, being away at boarding school is only getting worse-Percy could have sworn his pre-algebra teacher turned into a monster and tried to kill him.

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. Youâ??ll explore the basic operations and common functions of Sparkâ??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, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??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, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation