Algorithms and Data Structures for Massive Datasets teaches you to take advantage of data processing and analytics techniques specifically designed for large distributed datasets. And you’ll be amazed how easy it is to learn such a challenging topic from this friendly guide! Complex concepts are illustrated with interesting, entertaining graphics and fascinating industry stories that show how these techniques have succeeded in the real world. You’ll study examples including Google BigTable, BitCoin, and a smart bed sensor app, learning to build data sketches for processing, querying and exploring large datasets. By the time you’re done, you’ll be able to identify the perfect algorithm to deliver faster and more reliable results for any data intensive system. Learn more about the book here: https://www.manning.com/books/algorithms-and-data-structures-for-massive-datasets

1. Techniques for
handling modern big
data applications
with Algorithms and Data Structures for
Massive Datasets.
Take 40% off by entering slmedjedovic
into the discount code box at checkout
at manning.com.

2. Data structures and algorithms
that are great for traditional
software may quickly slow or
fail altogether when applied to
huge datasets.
Huge data sets rapidly grow
beyond available memory,
becoming slow and inefficient,
and bottlenecking development.
Fortunately, you don’t need to
blow your budget on expensive
upgrades to your computing
power!

3. Algorithms and Data Structures for
Massive Datasets introduces a
toolbox of new techniques that
are perfect for handling modern
big data applications.
You’ll discover methods for
reducing and sketching data so it
fits in small memory without
losing accuracy, and unlock the
algorithms and data structures
that form the backbone of a big
data system.

4. Algorithms and Data Structures
for Massive Datasets teaches you
to take advantage of data
processing and analytics
techniques specifically designed
for large distributed datasets.
By the time you’re done, you’ll
be able to identify the perfect
algorithm to deliver faster and
more reliable results for any
data intensive system.

5. Dzejla Medjedovic earned her PhD in the
Applied Algorithms Lab of the Computer
Science Department at Stony Brook
University, NY in 2014. She has worked on a
number of projects in algorithms for massive
data.
Emin Tahirovic earned his doctorate in
biostatistics from UPenn in 2016, and his
master’s degree in Theoretical Computer
Science from Goethe University in Frankfurt
in 2008. He has worked as an IT consultant on
projects for pharma and tech companies.
Ines Dedovic earned her PhD at the Institute
for Imaging and Computer Vision of the
Department of Electrical Engineering at
RWTH Aachen University, Germany. She
works as a software developer for camera
systems at Jonas & Redmann.

6. Take 40% off Algorithms and Data
Structures for Massive Datasets by
entering slmedjedovic into the discount
code box at checkout at manning.com.
If you want to learn more about the
book, check it out on our browser-based
liveBook platform here.