Architecting HBase Applications: A Guidebook for Successful by Jean-Marc Spaggiari, Kevin O'Dell

By Jean-Marc Spaggiari, Kevin O'Dell

Lots of HBase books, on-line HBase courses, and HBase mailing lists/forums can be found if you want to understand how HBase works. but when you need to take a deep dive into use circumstances, gains, and troubleshooting, Architecting HBase purposes is the appropriate resource for you.

With this e-book, you’ll examine a managed set of APIs that coincide with use-case examples and simply deployed use-case versions, in addition to sizing/best practices to assist leap begin your business software improvement and deployment.

  • Learn layout patterns—and not only components—necessary for a profitable HBase deployment
  • Go extensive into all of the HBase shell operations and API calls required to enforce documented use cases
  • Become acquainted with the most typical matters confronted via HBase clients, determine the reasons, and comprehend the consequences
  • Learn document-specific API calls which are difficult or vitally important for users
  • Get use-case examples for each subject presented

Show description

Read Online or Download Architecting HBase Applications: A Guidebook for Successful Development and Design PDF

Best data mining books

Machine Learning: The Art and Science of Algorithms that Make Sense of Data

As essentially the most accomplished computer studying texts round, this ebook does justice to the field's remarkable richness, yet with out wasting sight of the unifying rules. Peter Flach's transparent, example-based process starts off by way of discussing how a junk mail filter out works, which provides a right away creation to computer studying in motion, with not less than technical fuss.

Fuzzy logic, identification, and predictive control

The complexity and sensitivity of recent commercial strategies and platforms more and more require adaptable complicated keep watch over protocols. those controllers must be in a position to care for situations not easy ôjudgementö instead of uncomplicated ôyes/noö, ôon/offö responses, situations the place an obscure linguistic description is usually extra proper than a cut-and-dried numerical one.

Data Clustering in C++: An Object-Oriented Approach

Info clustering is a hugely interdisciplinary box, the objective of that is to divide a suite of items into homogeneous teams such that items within the similar workforce are related and gadgets in numerous teams are really unique. millions of theoretical papers and a couple of books on info clustering were released during the last 50 years.

Fifty Years of Fuzzy Logic and its Applications

Accomplished and well timed document on fuzzy good judgment and its applications
Analyzes the paradigm shift in uncertainty administration upon the advent of fuzzy logic
Edited and written via most sensible scientists in either theoretical and utilized fuzzy logic

This ebook offers a finished record at the evolution of Fuzzy good judgment because its formula in Lotfi Zadeh’s seminal paper on “fuzzy sets,” released in 1965. furthermore, it encompasses a stimulating sampling from the large box of analysis and improvement encouraged by means of Zadeh’s paper. The chapters, written through pioneers and popular students within the box, express how fuzzy units were effectively utilized to man made intelligence, keep watch over thought, inference, and reasoning. The publication additionally experiences on theoretical matters; positive factors contemporary functions of Fuzzy common sense within the fields of neural networks, clustering, facts mining and software program trying out; and highlights a major paradigm shift as a result of Fuzzy common sense within the quarter of uncertainty administration. Conceived by way of the editors as a tutorial social gathering of the fifty years’ anniversary of the 1965 paper, this paintings is a must have for college students and researchers keen to get an inspiring photo of the prospects, boundaries, achievements and accomplishments of Fuzzy Logic-based systems.

Computational Intelligence
Data Mining and information Discovery
Artificial Intelligence (incl. Robotics)

Extra info for Architecting HBase Applications: A Guidebook for Successful Development and Design

Sample text

Create a list of tens of keys and columns that you know are present in the table and mesure how long it takes to read them all. Now activate the bloom filter on your table, major compact it to get them written and test again. You should see that for this specific use-case, Bloom filters are not improving the performances. It is almost always good to have bloom filters activated. We dis‐ abled them here because this use case is very specific. If you are not sure, just keep them on.

HBase also provides a MapReduce tool called CellCounter to count not just the number of rows in a table, but also the number of col‐ umns and the number of versions for each of them. However, this tool needs to create a Hadoop counter for each and every unique row key found in the table. Hadoop has a default limit of 120 coun‐ ters. It is possible to increase this limit, but increasing it to the number of rows we have in the table might create some issues. If you are working on a small dataset, this might be useful to test your application and debug it.

Since an HFile only represents a subset of rows, we need to count rows at the table level. HBase provides two different mechanisms to count the rows. 30 | Chapter 2: Underlying storage engine - Implementation Counting from the shell Counting the rows from the shell is pretty straightforward, simple, and efficient for small examples. It will simply do a full table scan and count the rows one by one. It works well for small tables, however it can take a lot of time for big tables, so we will use this method only when we are sure our tables are small.

Download PDF sample

Rated 4.17 of 5 – based on 4 votes