Read e-book online Data Algorithms: Recipes for Scaling Up with Hadoop and PDF

February 27, 2018 | Algorithms | By admin | 0 Comments

By Mahmoud Parsian

ISBN-10: 1491906154

ISBN-13: 9781491906156

When you are able to dive into the MapReduce framework for processing huge datasets, this sensible e-book takes you step-by-step throughout the algorithms and instruments you must construct allotted MapReduce purposes with Apache Hadoop or Apache Spark. each one bankruptcy presents a recipe for fixing a big computational challenge, akin to construction a advice procedure. You'll methods to enforce the perfect MapReduce answer with code for you to use on your projects.

Dr. Mahmoud Parsian covers uncomplicated layout styles, optimization thoughts, and knowledge mining and laptop studying suggestions for difficulties in bioinformatics, genomics, information, and social community research. This e-book additionally comprises an summary of MapReduce, Hadoop, and Spark.

Topics include:
• marketplace basket research for a wide set of transactions
• info mining algorithms (K-means, KNN, and Naive Bayes)
• utilizing large genomic information to series DNA and RNA
• Naive Bayes theorem and Markov chains for information and industry prediction
• suggestion algorithms and pairwise rfile similarity
• Linear regression, Cox regression, and Pearson correlation
• Allelic frequency and mining DNA
• Social community research (recommendation platforms, counting triangles, sentiment research)

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Extra info for Data Algorithms: Recipes for Scaling Up with Hadoop and Spark

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The basic package selection parameter is the pin count. DIPs are used for chips with no more than 48 pins. PGAs are used for higher pin count chips. BGAs are used for even higher pin count chips. Other parameters include power consumption, heat dissipation and size of the system desired. 6. System Packaging Styles 27 The layout problems for printed circuit boards are similar to layout problems in VLSI design, although printed circuit boards offer more flexibility and a wider variety of technologies.

Typically, these 'repeat-or-not-to-repeat' decisions are made by experts rather than tools. This is due to complex nature of decisions, as they depend on a host of parameters. 5 Design Styles Physical design is an extremely complex process and even after breaking the entire process into several conceptually easier steps, it has been shown that each step is computationally very hard. However, market requirements demand a quick time-to-market and high yield. As a result, restricted models and design styles are used in order to reduce the complexity of physical design.

Soon thereafter, commercial layout systems became available. This interactive graphics capability provided rapid layout ofIC designs because components could quickly be replicated and edited rather than redrawn as in the past [Feu83]. B. Existing Design Tools 31 circuit layout editor commercially available. In the next phase, the role of computers was explored to help perform manually tedious layout process. As the layout was already in the computer, routing tools were developed initially to help perform the connections on this layout subject to the design rules specified for that particular design.

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Data Algorithms: Recipes for Scaling Up with Hadoop and Spark by Mahmoud Parsian


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