Big data and analytics
Acharya, Seema
Big data and analytics - 2nd ed. - New Delhi: Wiley India Pvt. Ltd., c2019. - xx, 364p. : ill, pbk. ; 24cm
Big data is a term used for massive mounds of structured, semi-structured and unstructured data that has the potential to be mined for information. The real power lies not just in having colossal data but in what insights can be drawn from this data to facilitate better and faster decisions.
This book big data and analytics is a comprehensive coverage on the concepts and practice of big data, Hadoop and analytics. From the do it Yourself steps and guidelines to set up a Hadoop cluster to the deeper understanding of concepts and ample time-tested hands-on practice exercises on the concepts learned, this one book has it all!
Salient Features of the book:-
-The book is an exhaustive introduction to Big Data Technology Landscape.
-The concepts are presented in simple language for easy comprehension by beginners.
-The concepts are explained with the help of illustrations and real-life industrial strength application examples.
-This book is accompanied with STEP-BY-STEP Hands-on chapters on:- *NoSQL databases such as MongoDB and Cassandra. *MapReduce Programming. *Pig-the data flow language. *Hive-data warehouse built on top of hadoop. *Jasper Soft Studio to design report by pulling the data from MongoDB and Cassandra.
-For easy lookup and rememberance, the book carries comparison of various Hadoop components such as HDFS vs HBase, MapReduce vs Pig, Pig vs Spark etc.
-For better learning, comprehension and retention, the book is supported by the following:- *Various types of self-assessment such as "Fill in the Blanks", "Crossword", "Match the Columns", "Hands on Assessment", etc. The solutions to these are also provided. *References/web links/bibliography at the end of every chapter.
-Glossary of terms frequently used in the big data and analytics and subject index at the end of the book.
9788126579518 = Computer and Data Sciences
Special Computer Methods
Data Mining
Big Data
Analytics
006.312 / ACH
Big data and analytics - 2nd ed. - New Delhi: Wiley India Pvt. Ltd., c2019. - xx, 364p. : ill, pbk. ; 24cm
Big data is a term used for massive mounds of structured, semi-structured and unstructured data that has the potential to be mined for information. The real power lies not just in having colossal data but in what insights can be drawn from this data to facilitate better and faster decisions.
This book big data and analytics is a comprehensive coverage on the concepts and practice of big data, Hadoop and analytics. From the do it Yourself steps and guidelines to set up a Hadoop cluster to the deeper understanding of concepts and ample time-tested hands-on practice exercises on the concepts learned, this one book has it all!
Salient Features of the book:-
-The book is an exhaustive introduction to Big Data Technology Landscape.
-The concepts are presented in simple language for easy comprehension by beginners.
-The concepts are explained with the help of illustrations and real-life industrial strength application examples.
-This book is accompanied with STEP-BY-STEP Hands-on chapters on:- *NoSQL databases such as MongoDB and Cassandra. *MapReduce Programming. *Pig-the data flow language. *Hive-data warehouse built on top of hadoop. *Jasper Soft Studio to design report by pulling the data from MongoDB and Cassandra.
-For easy lookup and rememberance, the book carries comparison of various Hadoop components such as HDFS vs HBase, MapReduce vs Pig, Pig vs Spark etc.
-For better learning, comprehension and retention, the book is supported by the following:- *Various types of self-assessment such as "Fill in the Blanks", "Crossword", "Match the Columns", "Hands on Assessment", etc. The solutions to these are also provided. *References/web links/bibliography at the end of every chapter.
-Glossary of terms frequently used in the big data and analytics and subject index at the end of the book.
9788126579518 = Computer and Data Sciences
Special Computer Methods
Data Mining
Big Data
Analytics
006.312 / ACH