{"id":10939,"date":"2023-12-05T18:18:41","date_gmt":"2023-12-05T18:18:41","guid":{"rendered":"https:\/\/lacountystore.com\/\/?p=10939"},"modified":"2023-12-05T18:18:41","modified_gmt":"2023-12-05T18:18:41","slug":"best-big-data-books","status":"publish","type":"post","link":"https:\/\/lacountystore.com\/best-big-data-books\/","title":{"rendered":"20 Best Big Data Books (2023 Update)"},"content":{"rendered":"

Are you looking for the Best Big Data Books<\/strong>? If so, you’ve come to the right place.<\/p>\n

Choosing the Best Big Data Books can be difficult as there are so many considerations, such as Apple, Funko, LEGO, Melissa & Doug, Nintendo, Penguin Random House, WHSmith, Amazon.com. We have done a lot of research to find the Top 20 Best Big Data Books<\/strong> available.<\/p>\n

The average cost is $33.47<\/i>. Sold comparable range in price from a low of $10.74<\/i> to a high of $114.13<\/i>.<\/p>\n

Based on the research we did, we think Big Data: A Revolution that Will Transform how We Live, Work, and Think [Book]<\/strong><\/a> is the best overall. Read on for the rest of the great options and our buying guide, where you can find all the information you need to know before making an informed purchase.<\/p>\n

20 Best Big Data Books (20 Sellers)<\/h2>\n
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Product Image<\/span><\/th>\nProduct Name<\/span><\/th>\nFeatures<\/span><\/th>\nCheck Price<\/span><\/th>\n<\/tr>\n<\/thead>\n
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    • And sometimes alarming.<\/li>\n
    • Just the thing to get your head around the big changes already underway and the bigger changes to come.&quot;.<\/li>\n
    • Cory doctorow; boingboing.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Introduction to big data systems<\/li>\n
    • Real-time processing of web-scale data<\/li>\n
    • Tools like hadoop, cassandra, and storm<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Find the right big data solution for your business or organization.<\/li>\n
    • Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and it professionals.<\/li>\n
    • Authors are experts in information management, big data, and a variety of solutions.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Publisher: independently published<\/li>\n
    • Year published: 2019-09-28<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2021-09-20<\/li>\n
    • Number of pages: 140<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • What could you achieve with tips in the right direction.<\/li>\n
    • Which tools are used to win at this game.<\/li>\n
    • Tricks for getting your feet on the ground today.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Become a contributor on a data science team<\/li>\n
    • Deploy a structured lifecycle approach to data analytics problems<\/li>\n
    • Apply appropriate analytic techniques and tools to analyzing big data<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Think statistically and understand the role variation plays in your life and decision making<\/li>\n
    • Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace<\/li>\n
    • Understand what&#39;s really going on with machine learning, text analytics, deep learning, and artificial intelligence<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Peter woodhull, ceo, modus21 the one book that clearly describes and links big data concepts to business utility.<\/li>\n
    • Dr. christopher starr, phd simply, this is the best big data book on the market.<\/li>\n
    • Sam rostam, cascadian it group .one of the most contemporary approaches i&#39;ve seen to big data fundamentals.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Get a 360-degree view into the world of big data, data science and machine learning<\/li>\n
    • Get hands-on experience with industry-standard big data and machine learning tools such as hadoop, spark, mongodb, kdb+ and r<\/li>\n
    • Create production-grade machine learning bi dashboards using r and r shiny with step-by-step instructions<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Data science and statistical analysis for the business professional<\/li>\n
    • Numerous instantly familiar real-world use cases<\/li>\n
    • Keys to effective data presentations<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Peer under the hood of the systems you already use, and learn how to use and operate them more effectively<\/li>\n
    • Make informed decisions by identifying the strengths and weaknesses of different tools<\/li>\n
    • Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Leverage big data insights to improve customer experiences and insure business success<\/li>\n
    • Explains how marketers can use data to learn what they need to know<\/li>\n
    • Details strategies to drive marketing relevance and return on marketing investment (romi)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Relational and non-relational databases, like rdbms, nosql, and newsql databases<\/li>\n
    • Virtualizing big data through encapsulation, partitioning, and isolating, as well as big data server virtualization<\/li>\n
    • Apache software, including hadoop, cassandra, avro, pig, mahout, oozie, and hive<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Big data<\/li>\n
    • Highlight, take notes and search in the book<\/li>\n
    • In this edition, page numbers are just like the physical edition<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: hardback<\/li>\n
    • Year published: 2020-01-10<\/li>\n
    • Number of pages: 134<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • How to conduct data analysis to enhance your business<\/li>\n
    • Which steps to take in performing predictive analysis<\/li>\n
    • What techniques you need to employ to achieve sustainable success<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2017-03-24<\/li>\n
    • Number of pages: 146<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Binding type: paperback<\/li>\n
    • Year published: 2020-04-22<\/li>\n
    • Number of pages: 208<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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    • Understand how data science fits in your organization–and how you can use it for competitive advantage<\/li>\n
    • Treat data as a business asset that requires careful investment if you&#39;re to gain real value<\/li>\n
    • Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<\/td>\n
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