From a global pandemic to extreme weather, the events of 2020 and 2021 have caused organizations to make quick and constant adjustments to their strategy and operations. This transformation is likely to continue and have a major impact on analytics. Not only do responders to Experian's annual Global Data Management survey confirm more demand for data insights, but most of them also believe the lack of agility hurt their organization's responses to...

Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure processing. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating traditional mainframes and applications with modern digital systems. By the end of the book, you'll have...

Databricks Certified Data Engineer Associate Course 1: Databricks Lakehouse Platform Description Learn foundational Databricks capabilities including compute, storage, notebooks, and jobs to build scalable data solutions. Learning Objectives Create clusters and configure runtime environments Perform exploratory analysis with notebooks Schedule and monitor multi-task workflows Course 2: Databricks SQL Description Master Spark SQL for reading, transforming,...

The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics...

Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go About This Book Teaches you everything you need to know to get started with Apache Oozie from scratch and manage your data pipelines effortlessly Learn to write data ingestion workflows with the help of real-life examples from the author's own personal experience Embed Spark jobs to run your machine learning models on top of Hadoop Who This...

Data Engineering hat sich in den letzten zehn Jahren rasant entwickelt, sodass viele Software Engineers, Datenanalystinnen und Data Scientists nach einer zusammenfassenden Darstellung der grundlegenden Techniken suchen. Dieses praxisorientierte Buch gibt Ihnen mit dem Data Engineering Lifecycle ein Framework an die Hand, das die Evaluierung und Auswahl der besten Technologien für reale Geschäftsprobleme erleichtert. Sie erfahren, wie Sie Systeme...

"A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity Algorithms, multitasking, sharing economy, life hacks: our culture can't get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less time than ever before. There is...

This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the cloud. Throughout the whole cloud data lifecycle, four major features are presented: a novel generic data reliability model for descr.

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or machine learning engineer who depends on the quality of your data, this book shows you how to focus on the practical aspects of introducing data observability in your everyday work. Author Andy Petrella helps...

E-Renovarse o morir nos presenta las siete tendencias digitales que marcarán nuestro futuro y que supondrán un punto de inflexión en nuestra vidas: realidad aumentada, gamificación, drones, impresoras 3D, bioimpresión, Internet de las Cosas y Big Data. A través de sus historias de éxito (y fracaso) entenderás de forma muy amena su aplicación en la empresa, en la lucha contra las enfermedades, el mundo del deporte, la educación,...