The rise of operational analytics: how the NewSQL revolution enables real-time decision making and continuous insight
Fast access to data has become a critical game changer. Today, a new breed of company understands that the faster they can build, access, and share well-defined datasets, the more competitive they'll be in our data-driven world. In this practical report, Scott Haines from Twilio introduces you...
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
[2019]
|
Ausgabe: | First edition. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781492073697/?ar |
Zusammenfassung: | Fast access to data has become a critical game changer. Today, a new breed of company understands that the faster they can build, access, and share well-defined datasets, the more competitive they'll be in our data-driven world. In this practical report, Scott Haines from Twilio introduces you to operational analytics, a new approach for making sense of all the data flooding into business systems. Data architects and data scientists will see how Apache Kafka and other tools and processes laid the groundwork for fast analytics on a mix of historical and near-real-time data. You'll learn how operational analytics feeds minute-by-minute customer interactions, and how NewSQL databases have entered the scene to drive machine learning algorithms, AI programs, and ongoing decision-making within an organization. Understand the key advantages that data-driven companies have over traditional businesses Explore the rise of operational analytics--and how this method relates to current tech trends Examine the impact of can't wait business decisions and won't wait customer experiences Discover how NewSQL databases support cloud native architecture and set the stage for operational databases Learn how to choose the right database to support operational analytics in your organization. |
Beschreibung: | Includes bibliographical references. - Online resource; title from title page (Safari, viewed February 10, 2020) |
Umfang: | 1 Online-Ressource (1 volume) illustrations |
Internformat
MARC
LEADER | 00000cam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-049363263 | ||
003 | DE-627-1 | ||
005 | 20240228120959.0 | ||
007 | cr uuu---uuuuu | ||
008 | 200120s2019 xx |||||o 00| ||eng c | ||
035 | |a (DE-627-1)049363263 | ||
035 | |a (DE-599)KEP049363263 | ||
035 | |a (ORHE)9781492073697 | ||
035 | |a (DE-627-1)049363263 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
100 | 1 | |a Haines, Scott |e VerfasserIn |4 aut | |
245 | 1 | 4 | |a The rise of operational analytics |b how the NewSQL revolution enables real-time decision making and continuous insight |c Scott Haines |
250 | |a First edition. | ||
264 | 1 | |a Sebastopol, CA |b O'Reilly Media |c [2019] | |
264 | 4 | |c ©2020 | |
300 | |a 1 Online-Ressource (1 volume) |b illustrations | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Includes bibliographical references. - Online resource; title from title page (Safari, viewed February 10, 2020) | ||
520 | |a Fast access to data has become a critical game changer. Today, a new breed of company understands that the faster they can build, access, and share well-defined datasets, the more competitive they'll be in our data-driven world. In this practical report, Scott Haines from Twilio introduces you to operational analytics, a new approach for making sense of all the data flooding into business systems. Data architects and data scientists will see how Apache Kafka and other tools and processes laid the groundwork for fast analytics on a mix of historical and near-real-time data. You'll learn how operational analytics feeds minute-by-minute customer interactions, and how NewSQL databases have entered the scene to drive machine learning algorithms, AI programs, and ongoing decision-making within an organization. Understand the key advantages that data-driven companies have over traditional businesses Explore the rise of operational analytics--and how this method relates to current tech trends Examine the impact of can't wait business decisions and won't wait customer experiences Discover how NewSQL databases support cloud native architecture and set the stage for operational databases Learn how to choose the right database to support operational analytics in your organization. | ||
650 | 0 | |a Decision making |x Data processing | |
650 | 0 | |a Real-time data processing | |
650 | 0 | |a Big data |x Data processing | |
650 | 0 | |a SQL (Computer program language) | |
650 | 4 | |a Prise de décision ; Informatique | |
650 | 4 | |a Temps réel (Informatique) | |
650 | 4 | |a Données volumineuses ; Informatique | |
650 | 4 | |a SQL (Langage de programmation) | |
650 | 4 | |a Decision making ; Data processing | |
650 | 4 | |a Real-time data processing | |
650 | 4 | |a SQL (Computer program language) | |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781492073697/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-049363263 |
---|---|
_version_ | 1821494845045211136 |
adam_text | |
any_adam_object | |
author | Haines, Scott |
author_facet | Haines, Scott |
author_role | aut |
author_sort | Haines, Scott |
author_variant | s h sh |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)049363263 (DE-599)KEP049363263 (ORHE)9781492073697 |
edition | First edition. |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03021cam a22004692 4500</leader><controlfield tag="001">ZDB-30-ORH-049363263</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120959.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200120s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)049363263</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP049363263</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781492073697</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)049363263</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Haines, Scott</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The rise of operational analytics</subfield><subfield code="b">how the NewSQL revolution enables real-time decision making and continuous insight</subfield><subfield code="c">Scott Haines</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sebastopol, CA</subfield><subfield code="b">O'Reilly Media</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 volume)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references. - Online resource; title from title page (Safari, viewed February 10, 2020)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Fast access to data has become a critical game changer. Today, a new breed of company understands that the faster they can build, access, and share well-defined datasets, the more competitive they'll be in our data-driven world. In this practical report, Scott Haines from Twilio introduces you to operational analytics, a new approach for making sense of all the data flooding into business systems. Data architects and data scientists will see how Apache Kafka and other tools and processes laid the groundwork for fast analytics on a mix of historical and near-real-time data. You'll learn how operational analytics feeds minute-by-minute customer interactions, and how NewSQL databases have entered the scene to drive machine learning algorithms, AI programs, and ongoing decision-making within an organization. Understand the key advantages that data-driven companies have over traditional businesses Explore the rise of operational analytics--and how this method relates to current tech trends Examine the impact of can't wait business decisions and won't wait customer experiences Discover how NewSQL databases support cloud native architecture and set the stage for operational databases Learn how to choose the right database to support operational analytics in your organization.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Decision making</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Real-time data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">SQL (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Prise de décision ; Informatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Temps réel (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Données volumineuses ; Informatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">SQL (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Decision making ; Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Real-time data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">SQL (Computer program language)</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781492073697/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-049363263 |
illustrated | Illustrated |
indexdate | 2025-01-17T11:20:51Z |
institution | BVB |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (1 volume) illustrations |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | O'Reilly Media |
record_format | marc |
spelling | Haines, Scott VerfasserIn aut The rise of operational analytics how the NewSQL revolution enables real-time decision making and continuous insight Scott Haines First edition. Sebastopol, CA O'Reilly Media [2019] ©2020 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references. - Online resource; title from title page (Safari, viewed February 10, 2020) Fast access to data has become a critical game changer. Today, a new breed of company understands that the faster they can build, access, and share well-defined datasets, the more competitive they'll be in our data-driven world. In this practical report, Scott Haines from Twilio introduces you to operational analytics, a new approach for making sense of all the data flooding into business systems. Data architects and data scientists will see how Apache Kafka and other tools and processes laid the groundwork for fast analytics on a mix of historical and near-real-time data. You'll learn how operational analytics feeds minute-by-minute customer interactions, and how NewSQL databases have entered the scene to drive machine learning algorithms, AI programs, and ongoing decision-making within an organization. Understand the key advantages that data-driven companies have over traditional businesses Explore the rise of operational analytics--and how this method relates to current tech trends Examine the impact of can't wait business decisions and won't wait customer experiences Discover how NewSQL databases support cloud native architecture and set the stage for operational databases Learn how to choose the right database to support operational analytics in your organization. Decision making Data processing Real-time data processing Big data Data processing SQL (Computer program language) Prise de décision ; Informatique Temps réel (Informatique) Données volumineuses ; Informatique SQL (Langage de programmation) Decision making ; Data processing |
spellingShingle | Haines, Scott The rise of operational analytics how the NewSQL revolution enables real-time decision making and continuous insight Decision making Data processing Real-time data processing Big data Data processing SQL (Computer program language) Prise de décision ; Informatique Temps réel (Informatique) Données volumineuses ; Informatique SQL (Langage de programmation) Decision making ; Data processing |
title | The rise of operational analytics how the NewSQL revolution enables real-time decision making and continuous insight |
title_auth | The rise of operational analytics how the NewSQL revolution enables real-time decision making and continuous insight |
title_exact_search | The rise of operational analytics how the NewSQL revolution enables real-time decision making and continuous insight |
title_full | The rise of operational analytics how the NewSQL revolution enables real-time decision making and continuous insight Scott Haines |
title_fullStr | The rise of operational analytics how the NewSQL revolution enables real-time decision making and continuous insight Scott Haines |
title_full_unstemmed | The rise of operational analytics how the NewSQL revolution enables real-time decision making and continuous insight Scott Haines |
title_short | The rise of operational analytics |
title_sort | rise of operational analytics how the newsql revolution enables real time decision making and continuous insight |
title_sub | how the NewSQL revolution enables real-time decision making and continuous insight |
topic | Decision making Data processing Real-time data processing Big data Data processing SQL (Computer program language) Prise de décision ; Informatique Temps réel (Informatique) Données volumineuses ; Informatique SQL (Langage de programmation) Decision making ; Data processing |
topic_facet | Decision making Data processing Real-time data processing Big data Data processing SQL (Computer program language) Prise de décision ; Informatique Temps réel (Informatique) Données volumineuses ; Informatique SQL (Langage de programmation) Decision making ; Data processing |
work_keys_str_mv | AT hainesscott theriseofoperationalanalyticshowthenewsqlrevolutionenablesrealtimedecisionmakingandcontinuousinsight AT hainesscott riseofoperationalanalyticshowthenewsqlrevolutionenablesrealtimedecisionmakingandcontinuousinsight |