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Jumpstart Snowflake : A Step-by-Step Guide to Modern Cloud Analytics / / by Dmitry Anoshin, Dmitry Shirokov, Donna Strok
Jumpstart Snowflake : A Step-by-Step Guide to Modern Cloud Analytics / / by Dmitry Anoshin, Dmitry Shirokov, Donna Strok
Autore Anoshin Dmitry
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Descrizione fisica 1 online resource (270 pages)
Disciplina 658.40380285574
Soggetto topico Application software
Computer Applications
ISBN 1-4842-5328-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Getting Started with Cloud Analytics- Chapter 2: Getting Started with Snowflake -- Chapter 3: Virtual Warehouse -- Chapter 4: Loading Bulk Data into Snowflake -- Chapter 5: Getting Started with SnowSQL -- Chapter 6: Continuous Data Loading with Snowpipe -- Chapter 7: Snowflake Administration -- Chapter 8: Snowflake Security Overview -- Chapter 9: Working with Semi Structured Data -- Chapter 10: Secure Data Sharing -- Chapter 11: Design Modern Analytics Solution with Snowflake -- Chapter 12: Snowflake and Data Science -- Chapter 13: Migration to Snowflake -- Chapter 14: Time Travel.
Record Nr. UNINA-9910369904303321
Anoshin Dmitry  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning Hunk : visualize and analyze your Hadoop data using Hunk / / Dmitry Anoshin, Sergey Sheypak
Learning Hunk : visualize and analyze your Hadoop data using Hunk / / Dmitry Anoshin, Sergey Sheypak
Autore Anoshin Dmitry
Pubbl/distr/stampa Birmingham : , : Packt Publishing, , 2015
Descrizione fisica 1 online resource (156 p.)
Collana Community experience distilled
Soggetto topico Big data
Non-relational databases
ISBN 1-78528-302-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Meet Hunk; Big data analytics; The big problem; The elegant solution; Supporting SPL; Intermediate results; Getting to know Hunk; Splunk versus Hunk; Hunk architecture; Connecting to Hadoop; Advance Hunk deployment; Native versus virtual indexes; Native indexes; Virtual index; External result provider; Computation models; Data streaming; Data reporting; Mixed mode; Hunk security; One Hunk user to one Hadoop user; Many Hunk users to one Hadoop user
Hunk user(s) to the same Hadoop user with different queuesSetting up Hadoop; Starting and using a virtual machine with CDH5; SSH user; MySQL; Starting the VM and cluster in VirtualBox; Big data use case; Importing data from RDBMS to Hadoop using Sqoop; Telecommunications - SMS, Call, and Internet dataset from dandelion.eu; Milano grid map; CDR aggregated data import process; Periodical data import from MySQL using Sqoop and Oozie; Problems to solve; Summary; Chapter 2: Explore Hadoop Data with Hunk; Setting up Hunk; Extracting Hunk to a VM; Setting up Hunk variables and configuration files
Running Hunk for the first timeSetting up a data provider and virtual index for CDR data; Setting up a connection to Hadoop; Setting up a virtual index for data stored in Hadoop; Accessing data through a virtual index; Exploring data; Creating reports; The top five browsers report; Top referrers; Site errors report; Creating alerts; Creating a dashboard; Controlling security with Hunk; The default Hadoop security; One Hunk user to one Hadoop user; Summary; Chapter 3: Meeting Hunk Features; Knowledge objects; Field aliases; Calculated fields; Field extractions; Tags; Event type
Workflow actionsMacros; Data model; Add auto-extracting fields; Adding GeoIP attributes; Other ways to add attributes; Introducing Pivot; Summary; Chapter 4: Adding Speed to Reports; Big data performance issues; Hunk report acceleration; Creating a virtual index; Streaming mode; Creating an acceleration search; What's going on in Hadoop?; Report acceleration summaries; Reviewing summary details; Managing report accelerations; Hunk accelerations limits; Summary; Chapter 5: Customizing Hunk; What we are going to do with the Splunk SDK; Supported languages; Solving problems; REST API
The implementation planThe conclusion; Dashboard customization using Splunk Web Framework; Functionality; A description of time-series aggregated CDR data; Source data; Creating a virtual index for Milano CDR; Creating a virtual index for the Milano grid; Creating a virtual index using sample data; Implementation; Querying the visualization; Downloading the application; Custom Google Maps; Page layout; Linear gradients and bins for the activity value; Custom map components; Other components; The final result; Summary; Chapter 6: Discovering Hunk Integration Apps; What is Mongo?; Installation
Installing the Mongo app
Record Nr. UNINA-9910797960003321
Anoshin Dmitry  
Birmingham : , : Packt Publishing, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning Hunk : visualize and analyze your Hadoop data using Hunk / / Dmitry Anoshin, Sergey Sheypak
Learning Hunk : visualize and analyze your Hadoop data using Hunk / / Dmitry Anoshin, Sergey Sheypak
Autore Anoshin Dmitry
Pubbl/distr/stampa Birmingham : , : Packt Publishing, , 2015
Descrizione fisica 1 online resource (156 p.)
Collana Community experience distilled
Soggetto topico Big data
Non-relational databases
ISBN 1-78528-302-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Meet Hunk; Big data analytics; The big problem; The elegant solution; Supporting SPL; Intermediate results; Getting to know Hunk; Splunk versus Hunk; Hunk architecture; Connecting to Hadoop; Advance Hunk deployment; Native versus virtual indexes; Native indexes; Virtual index; External result provider; Computation models; Data streaming; Data reporting; Mixed mode; Hunk security; One Hunk user to one Hadoop user; Many Hunk users to one Hadoop user
Hunk user(s) to the same Hadoop user with different queuesSetting up Hadoop; Starting and using a virtual machine with CDH5; SSH user; MySQL; Starting the VM and cluster in VirtualBox; Big data use case; Importing data from RDBMS to Hadoop using Sqoop; Telecommunications - SMS, Call, and Internet dataset from dandelion.eu; Milano grid map; CDR aggregated data import process; Periodical data import from MySQL using Sqoop and Oozie; Problems to solve; Summary; Chapter 2: Explore Hadoop Data with Hunk; Setting up Hunk; Extracting Hunk to a VM; Setting up Hunk variables and configuration files
Running Hunk for the first timeSetting up a data provider and virtual index for CDR data; Setting up a connection to Hadoop; Setting up a virtual index for data stored in Hadoop; Accessing data through a virtual index; Exploring data; Creating reports; The top five browsers report; Top referrers; Site errors report; Creating alerts; Creating a dashboard; Controlling security with Hunk; The default Hadoop security; One Hunk user to one Hadoop user; Summary; Chapter 3: Meeting Hunk Features; Knowledge objects; Field aliases; Calculated fields; Field extractions; Tags; Event type
Workflow actionsMacros; Data model; Add auto-extracting fields; Adding GeoIP attributes; Other ways to add attributes; Introducing Pivot; Summary; Chapter 4: Adding Speed to Reports; Big data performance issues; Hunk report acceleration; Creating a virtual index; Streaming mode; Creating an acceleration search; What's going on in Hadoop?; Report acceleration summaries; Reviewing summary details; Managing report accelerations; Hunk accelerations limits; Summary; Chapter 5: Customizing Hunk; What we are going to do with the Splunk SDK; Supported languages; Solving problems; REST API
The implementation planThe conclusion; Dashboard customization using Splunk Web Framework; Functionality; A description of time-series aggregated CDR data; Source data; Creating a virtual index for Milano CDR; Creating a virtual index for the Milano grid; Creating a virtual index using sample data; Implementation; Querying the visualization; Downloading the application; Custom Google Maps; Page layout; Linear gradients and bins for the activity value; Custom map components; Other components; The final result; Summary; Chapter 6: Discovering Hunk Integration Apps; What is Mongo?; Installation
Installing the Mongo app
Record Nr. UNINA-9910821609303321
Anoshin Dmitry  
Birmingham : , : Packt Publishing, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering business intelligence with MicroStrategy : build world-class enterprise business intelligence solutions with MicroStrategy 10 / / Dmitry Anoshin, Himani Rana, Ning Ma
Mastering business intelligence with MicroStrategy : build world-class enterprise business intelligence solutions with MicroStrategy 10 / / Dmitry Anoshin, Himani Rana, Ning Ma
Autore Anoshin Dmitry
Edizione [1st edition]
Pubbl/distr/stampa Birmingham : , : Packt Publishing, , 2016
Descrizione fisica 1 online resource (389 pages) : color illustrations
Collana Professional expertise distilled
Soggetto topico Business planning - Data processing
Database management
Soggetto genere / forma Electronic books.
ISBN 1-78588-626-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910511505303321
Anoshin Dmitry  
Birmingham : , : Packt Publishing, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering business intelligence with MicroStrategy : build world-class enterprise business intelligence solutions with MicroStrategy 10 / / Dmitry Anoshin, Himani Rana, Ning Ma
Mastering business intelligence with MicroStrategy : build world-class enterprise business intelligence solutions with MicroStrategy 10 / / Dmitry Anoshin, Himani Rana, Ning Ma
Autore Anoshin Dmitry
Edizione [1st edition]
Pubbl/distr/stampa Birmingham : , : Packt Publishing, , 2016
Descrizione fisica 1 online resource (389 pages) : color illustrations
Collana Professional expertise distilled
Soggetto topico Business planning - Data processing
Database management
ISBN 1-78588-626-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910798524703321
Anoshin Dmitry  
Birmingham : , : Packt Publishing, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering business intelligence with MicroStrategy : build world-class enterprise business intelligence solutions with MicroStrategy 10 / / Dmitry Anoshin, Himani Rana, Ning Ma
Mastering business intelligence with MicroStrategy : build world-class enterprise business intelligence solutions with MicroStrategy 10 / / Dmitry Anoshin, Himani Rana, Ning Ma
Autore Anoshin Dmitry
Edizione [1st edition]
Pubbl/distr/stampa Birmingham : , : Packt Publishing, , 2016
Descrizione fisica 1 online resource (389 pages) : color illustrations
Collana Professional expertise distilled
Soggetto topico Business planning - Data processing
Database management
ISBN 1-78588-626-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910806123903321
Anoshin Dmitry  
Birmingham : , : Packt Publishing, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Tableau Desktop certified associate : exam guide : develop your tableau skills and prepare for tableau certification with tips from industry experts / / Dmitry Anoshin [and four others]
Tableau Desktop certified associate : exam guide : develop your tableau skills and prepare for tableau certification with tips from industry experts / / Dmitry Anoshin [and four others]
Autore Anoshin Dmitry
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, England ; ; Mumbai : , : Packt, , [2019]
Descrizione fisica 1 online resource (359 pages)
Disciplina 006.68
Soggetto topico Information visualization - Computer programs - Examinations
Visual analytics - Data processing - Examinations
Dashboards (Management information systems) - Examinations
Industrial management - Data processing
Electronic data processing personnel - Certification
ISBN 1-83898-664-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910793812803321
Anoshin Dmitry  
Birmingham, England ; ; Mumbai : , : Packt, , [2019]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Tableau Desktop certified associate : exam guide : develop your tableau skills and prepare for tableau certification with tips from industry experts / / Dmitry Anoshin [and four others]
Tableau Desktop certified associate : exam guide : develop your tableau skills and prepare for tableau certification with tips from industry experts / / Dmitry Anoshin [and four others]
Autore Anoshin Dmitry
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, England ; ; Mumbai : , : Packt, , [2019]
Descrizione fisica 1 online resource (359 pages)
Disciplina 006.68
Soggetto topico Information visualization - Computer programs - Examinations
Visual analytics - Data processing - Examinations
Dashboards (Management information systems) - Examinations
Industrial management - Data processing
Electronic data processing personnel - Certification
ISBN 1-83898-664-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910825780603321
Anoshin Dmitry  
Birmingham, England ; ; Mumbai : , : Packt, , [2019]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui