Big Data Appliances for In-Memory Computing Audiobook By Dr. Ganapathi Pulipaka cover art

Big Data Appliances for In-Memory Computing

A Real-World Research Guide for Corporations to Tame and Wrangle Their Data

Preview

Try for $0.00
Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.

Big Data Appliances for In-Memory Computing

By: Dr. Ganapathi Pulipaka
Narrated by: Jodie Bentley
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $19.95

Buy for $19.95

Confirm purchase
Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.
Cancel

About this listen

#1 BESTSELLER This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data. The book delves deeper into the research results of industry relevant case studies with the disruption of in-memory computing platform innovation that diffuses high-speed computing and dynamic performance for business applications and explores how these modern big data analytics tools shape the future of aerospace, automotive, consumer goods and beverages, healthcare, government services, high tech, and public sector industries.

©2015 Ganapathi Pulipaka (P)2016 High Performance Computing Institute of Technology
Data Science Machine Learning Innovation
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about Big Data Appliances for In-Memory Computing

Average customer ratings
Overall
  • 4 out of 5 stars
  • 5 Stars
    15
  • 4 Stars
    1
  • 3 Stars
    1
  • 2 Stars
    2
  • 1 Stars
    4
Performance
  • 4 out of 5 stars
  • 5 Stars
    15
  • 4 Stars
    1
  • 3 Stars
    3
  • 2 Stars
    1
  • 1 Stars
    2
Story
  • 4 out of 5 stars
  • 5 Stars
    14
  • 4 Stars
    1
  • 3 Stars
    2
  • 2 Stars
    1
  • 1 Stars
    4

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Excellent!

What made the experience of listening to Big Data Appliances for In-Memory Computing the most enjoyable?

This audiobook is not for beginners, but the author of the book builds the momentum from starting the history to most advanced complex topics of in-memory computing. It is enjoyable.

What other book might you compare Big Data Appliances for In-Memory Computing to and why?

I don't know if there's any other audiobook with such high-quality or content.

Which scene was your favorite?

I liked all the chapters.

Was there a moment in the book that particularly moved you?

The future of in-memory computing.

Any additional comments?

Excellent book. Highly recommend it.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

1 person found this helpful

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Great audio book!

If you could sum up Big Data Appliances for In-Memory Computing in three words, what would they be?

This audio book is exhilarating and provides deep insights into the big data and in-memory computing with a number of tools and strategies to set up a data center of excellence for advanced analytics, business analytics, and date warehousing of the organization.

What was one of the most memorable moments of Big Data Appliances for In-Memory Computing?

I liked all the chapter. Particularly, the author clearly provides the case studies in excess of some 60 or 70 in multiple industries.

Which character – as performed by Jodie Bentley – was your favorite?

Narrator.

Was there a moment in the book that particularly moved you?

The author conducts a thorough deep research on the topics with his experience.

Any additional comments?

Highly rated and Highly recommended. Top-notch quality.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Big Data Appliances for In-Memory Computing

Would you recommend this audiobook to a friend? If so, why?

Absolutely !The laudable research study provided an intensive and comprehensive work such as establishing the problem, framework, research questions, literature review, and qualitative analysis

What did you like best about this story?

He compared and contrasted several analytics and statistics tools such as IBM DB2 Blu, Oracle Exadata, Tableau, etc. with interesting findings and lucid results from qualitative surveys, interviews in the credible resources such as IDC, SAP customers

Which scene was your favorite?

Dr. Pulipaka’s book presents a scholarly research guide for corporations or high-tech organizations to use SAP HANA (Systems, applications, and products – High-performance analytic appliance) for robustly elaborating their big data for meaningful information, holistic knowledge, and professional wisdom.

Did you have an extreme reaction to this book? Did it make you laugh or cry?

The fervid recommendation for SAP HANA, particularly in-memory flash is the great idea for future research.

Any additional comments?

I like to see more specific information of hardware (HW) and software (SW) on the SAP HANA platform such as:
- SW: system software, OS, supporting software, application software, OLAP, OLTP, RDBMS, etc.
- HW: Memory, computer type, microprocessors, server type, hosts, etc

Is SAP HANA packaged and portable from one system to another system?
Is any particular training required to use SAP HANA ?

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Excellent book on Big Data and In-Memory Computing

What did you love best about Big Data Appliances for In-Memory Computing?

This book explains a details analysis on real world scenarios and solutions for data analytic problems. This book is good building blocks for my SAP HANA In-Memory Skills. I got lot of knowledge on Big data and its application in current market. Big data is really useful in analyzing huge amount of data in very less time and efficiently.

What other book might you compare Big Data Appliances for In-Memory Computing to and why?

When I searched for SAP Big Data, there is no other audio book available on this topic. Hence this is the first Audiobook ever released on SAP Big Data .

Which character – as performed by Jodie Bentley – was your favorite?

This is a non-fiction technology Big data book. There are no other characters in the book other than Big Data and SAP.

Was there a moment in the book that particularly moved you?

The topic on future of In-Memory computing was very impressive part in this book.

Any additional comments?

The book has bee thoroughly researched on Big Data and In-Memory Computing on SAP HANA.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Bigdata Appliances book by Ganaparhi

Excellent content and presentation any layman can understand several Bigdata and in-memory business cases well explained with in depth texhnology secrets from roots to latest trends. I have read many audio books bur Jodi audio naration was excellnt and outstanding.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

1 person found this helpful

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Best Book on Big Data for biginers and Experts

What did you love best about Big Data Appliances for In-Memory Computing?

A detailed explanation of the various concepts of Big Data and how the latest advancements in computing landscapes are changing the way Data is being used in various organizations to drive business success.Also a very effective guide to executives at various levels of an organization on how to handle Big Data Implementations and drive successful projects.

What was one of the most memorable moments of Big Data Appliances for In-Memory Computing?

Real world examples are given in the book which explained the before and after effects of implementing Big Data software in various organizations. These examples left a very good impression about the benefits of Big Data and we are eager to adopt these technologies in our organization as well.

Which character – as performed by Jodie Bentley – was your favorite?

This is the first book I listened by her

Was this a book you wanted to listen to all in one sitting?

Yes

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

1 person found this helpful

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Best audio book! Two thumbs up!

Would you listen to Big Data Appliances for In-Memory Computing again? Why?

Yes. This book is largely interesting with heavy substance of big data, SAP HANA, IBM DB2 and Oracle. Exadata and more than dime a dozen big data tools, data visualization tools, business analytics, in -memory computing architecture and how the strategy of setting up data analytics center of excellence provide big value to the organizations.

What other book might you compare Big Data Appliances for In-Memory Computing to and why?

This is the first book I am encountering and hence would not be able to compare with anything.

What about Jodie Bentley’s performance did you like?

Deliverance to put it short.

Did you have an extreme reaction to this book? Did it make you laugh or cry?

Highly structured book written in APA 6th edition format that works as a dissertation and serves the corporations commercially to build their data analytics centers of excellence.

Any additional comments?

The book provides the past, present and the future of bigdata and in-memory computing with the aid of ground-breaking technology of DRAM memory and how the in-memory computing works with Apache Hadoop and R to process gargantuan volumes of big data.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    1 out of 5 stars
  • Performance
    3 out of 5 stars
  • Story
    1 out of 5 stars

Decent stats but doesn't work as an audiobook

This has some decent information and might be ok as a reference guide, but it doesn't work well as an audio book. It seems almost like an SAP advertisement.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

1 person found this helpful

  • Overall
    2 out of 5 stars
  • Performance
    2 out of 5 stars
  • Story
    1 out of 5 stars

Book should be titled "buy sap Hana"

What disappointed you about Big Data Appliances for In-Memory Computing?

Was hoping for more comparison of technologies... The book was more of an sap Hana fest, with the occasional anicdote about why technology x is less awesome than sap Hana.

What could Dr. Ganapathi Pulipaka have done to make this a more enjoyable book for you?

By not mechanically repeating the exact same evidence in multiple chapters.

How could the performance have been better?

Well...even though It is a technical book... There are compelling stories behind the facts. These compelling stories were treated mostly as lists of facts.

What reaction did this book spark in you? Anger, sadness, disappointment?

I felt like I paid to listen to a 5 hour sap commercial.

Any additional comments?

I am looking forward to the movie.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

6 people found this helpful