Otros libros que te pueden interesar

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  City on Mars A: Book Summary &...

  Briefly Summaries

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  This is a concise summary and analysis of A City on Mars, by Kelly and Zach Weinersmith.
   
  It is not the original book and is not affiliated with or endorsed by Kelly and Zach Weinersmith.
   
  Ideal those seeking a quick and insightful overview.
   
  A City on Mars imagines the challenges and opportunities of creating a human settlement on Mars. The book blends science, humor, and speculative design to explore the technological, social, and environmental obstacles of establishing a thriving city on the Red Planet. Through engaging illustrations and accessible explanations, it provides an exciting vision of how humans could one day colonize Mars, highlighting both the innovations and difficulties involved in such an endeavor.

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  Python Data Ecosystem -...

  Daniel Garfield

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  In an era where data fuels innovation and drives decision-making, mastering the art of data engineering is paramount. Python Data Ecosystem: Navigating the Landscape of Data Engineering is your definitive guide to harnessing the full potential of the Python programming language in the realm of data engineering. Whether you're a seasoned data professional or just stepping into the world of data, this book will be your compass in navigating the intricate landscape of data engineering. 
  Python Data Ecosystem will equip you with the knowledge and skills to excel in the dynamic field of data engineering. From foundational principles to cutting-edge techniques, this book is your ultimate resource for mastering data engineering with Python. Embark on your journey to becoming a proficient data engineer today! 
   

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  Algorithms

  Panos Louridas

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  Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling, DNA sequencing, and machine learning. Arguing that every educated person today needs to have some understanding of algorithms and what they do, in this volume in the MIT Press Essential Knowledge series, Panos Louridas offers an introduction to algorithms that is accessible to nonspecialists. Louridas explains not just what algorithms are but also how they work, offering a wide range of examples and keeping mathematics to a minimum. 
   
   
   
  After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning. Finally, Louridas describes how all algorithms are nothing more than simple moves with pen and paper, and how from such a humble foundation rise all their spectacular achievements.

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  Ice Age The: The History and...

  Editors Charles River

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  The early history of Earth covers such vast stretches of time that years, centuries, and even millennia become virtually meaningless. Instead, paleontologists and scientists who study geochronology divide time into periods and eras.  
  	What humans commonly refer to as the “Ice Age” is actually a series of fluctuating climate events that have occurred throughout the planet’s history. These ongoing historical phenomena are difficult to conceptualize because of both the time frame involved and the natural process by which they cyclically unfold. The Earth’s climatic clock repeats the maneuver over millions of years per occurrence, a number that is intellectually graspable, but not viscerally well-perceivable by most members of the human race. The process by which ice ages form is not relevant to any societal function, and therefore remains a mystery. Those who attempt to define it are often met with either apathy or defiant superstition. 
  	As a basic definition, it may be said that an ice age is simply a period of time during which thick ice sheets cover vast areas of land. These sheets have advanced and retreated, at times taking over the entire planet, and conversely disappearing nearly altogether. Glacial ice formed by this regularly occurring process does not sit in a state of inertia, but moves dynamically, reshaping the geological features of the continents. Again, the time frame for glacial movement is far longer than any involving human activity, so close attention must be paid in order to correctly measure and interpret it for the modern day. 

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  Ultimate Big Data Analytics with...

  Simhadri Govindappa

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  Master the Hadoop Ecosystem and Build Scalable Analytics Systems
  Book Description
  In a rapidly evolving Big Data job market projected to grow by 28% through 2026 and with salaries reaching up to $150, 00 annually—mastering big data analytics with the Hadoop ecosystem is most sought after for career advancement. The Ultimate Big Data Analytics with Apache Hadoop is an indispensable companion offering in-depth knowledge and practical skills needed to excel in today's data-driven landscape. 
  The book begins laying a strong foundation with an overview of data lakes, data warehouses, and related concepts. It then delves into core Hadoop components such as HDFS, YARN, MapReduce, and Apache Tez, offering a blend of theory and practical exercises. 
  You will gain hands-on experience with query engines like Apache Hive and Apache Spark, as well as file and table formats such as ORC, Parquet, Avro, Iceberg, Hudi, and Delta. Detailed instructions on installing and configuring clusters with Docker are included, along with big data visualization and statistical analysis using Python. 
  Given the growing importance of scalable data pipelines, this book equips data engineers, analysts, and big data professionals with practical skills to set up, manage, and optimize data pipelines, and to apply machine learning techniques effectively. 
  Table of Contents
  
  1. Introduction to Hadoop and ASF
  2. Overview of Big Data Analytics
  3. Hadoop and YARN MapReduce and Tez
  4. Distributed Query Engines: Apache Hive
  5. Distributed Query Engines: Apache Spark
  6. File Formats and Table Formats (Apache Ice-berg, Hudi, and Delta)
  7. Python and the Hadoop Ecosystem for Big Data Analytics - BI
  8. Data Science and Machine Learning with Hadoop Ecosystem
  9. Introduction to Cloud Computing and Other Apache Projects  
  Index

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  End of Abundance in Tech - How...

  Ben DeBow

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  Sustainable Tech Solutions for Enterprise Scalability 
   
  The modern economy runs on technology; it is the backbone of all major businesses. From firing packets of information between customers and websites to tracking customer demographics and purchase history–every bit of information that occurs online is captured through data. As businesses scale and transactions grow, the volume of data (and the number of servers required to store it) creates an increasingly complex environment that makes managing and monitoring the overall health of your organization’s technology stack a dizzying task for even the most well-informed IT professional. 
   
  Fortunately for today’s CDOs, CTOs, CIOs, and even CFOs, the founder and CEO of Fortified, a leading database managed service provider, Ben DeBow has written End of Abundance in Tech: How IT Leaders Can Find Efficiencies to Drive Business Value. 
   
  DeBow’s patent-pending approach allows IT executives to: 
  Develop a technology environment that’s more efficientIncrease server resource productivityProvide better financial transparency into the technology costsOptimize system scalability, performance, and stabilityPotentially save millions that were previously tied up in inefficient technology practices 
   
  To determine the health, efficiency, and capacity of their systems, leaders need solutions they can act on. Yet, many technology leaders lack real insights into the health of their technology environment at the organizational level. In a refreshing shakeup of the status quo, DeBow’s book equips IT executives with actionable solutions for managing and monitoring technology health so they can maximize the efficiency of the enterprise’s entire tech stack and deliver measurable value to the bottom line.

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