Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani
There's no scarcity of raw data within enterprises. So why can't analysts and data scientists generate insights fast enough to keep up with business needs? Extracting insights depends on data engineering and source teams to ingest, clean, catalog, debug, and deploy, slowing down the overal...
Gespeichert in:
1. Verfasser: | |
---|---|
Körperschaft: | |
Format: | Elektronisch Video |
Sprache: | English |
Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
O'Reilly Media, Inc.
2019
|
Ausgabe: | 1st edition. |
Schlagworte: | |
Online-Zugang: | lizenzpflichtig |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
LEADER | 00000cgm a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-049357697 | ||
003 | DE-627-1 | ||
005 | 20240228120949.0 | ||
006 | m o | | | ||
007 | cr uuu---uuuuu | ||
008 | 200120s2019 xx ||| |o o ||eng c | ||
035 | |a (DE-627-1)049357697 | ||
035 | |a (DE-599)KEP049357697 | ||
035 | |a (ORHE)0636920360278 | ||
035 | |a (DE-627-1)049357697 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
082 | 0 | |a E VIDEO | |
100 | 1 | |a Uttamchandani, Sandeep |d 1979- |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Spotlight on Data |b Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani |c Uttamchandani, Sandeep |
250 | |a 1st edition. | ||
264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b O'Reilly Media, Inc. |c 2019 | |
264 | 2 | |a Boston, MA |b Safari. | |
300 | |a 1 online resource (1 video file, approximately 50 min.) | ||
336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Online resource; Title from title screen (viewed December 20, 2019) | ||
520 | |a There's no scarcity of raw data within enterprises. So why can't analysts and data scientists generate insights fast enough to keep up with business needs? Extracting insights depends on data engineering and source teams to ingest, clean, catalog, debug, and deploy, slowing down the overall process. One solution: make the data platform self-serve for analysts and data scientists. And Intuit is doing just that. In this Spotlight on Data, Sandeep Uttamchandani gives an overview of the self-serve design patterns and frameworks Intuit has built to expedite time to reliable insights-its metric of success. You'll learn how the company uses circuit breakers in data pipelines to make data availability in dashboards a function of the data quality, radically reducing debugging time. Recorded on September 16, 2019. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts' unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data, you'll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You'll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy. | ||
538 | |a Mode of access: World Wide Web. | ||
650 | 0 | |a Internet videos | |
650 | 0 | |a Streaming video | |
650 | 4 | |a Vidéos sur Internet | |
650 | 4 | |a Vidéo en continu | |
650 | 4 | |a streaming video | |
650 | 4 | |a Electronic videos | |
710 | 2 | |a Safari, an O'Reilly Media Company. |e MitwirkendeR |4 ctb | |
856 | 4 | 0 | |l TUM01 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/0636920360278/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
935 | |c vide | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-049357697 |
---|---|
_version_ | 1818767386990346240 |
adam_text | |
any_adam_object | |
author | Uttamchandani, Sandeep 1979- |
author_corporate | Safari, an O'Reilly Media Company |
author_corporate_role | ctb |
author_facet | Uttamchandani, Sandeep 1979- Safari, an O'Reilly Media Company |
author_role | aut |
author_sort | Uttamchandani, Sandeep 1979- |
author_variant | s u su |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)049357697 (DE-599)KEP049357697 (ORHE)0636920360278 |
dewey-raw | E VIDEO |
dewey-search | E VIDEO |
edition | 1st edition. |
format | Electronic Video |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03149cgm a22004572 4500</leader><controlfield tag="001">ZDB-30-ORH-049357697</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120949.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200120s2019 xx ||| |o o ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)049357697</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP049357697</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)0636920360278</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)049357697</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="082" ind1="0" ind2=" "><subfield code="a">E VIDEO</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Uttamchandani, Sandeep</subfield><subfield code="d">1979-</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Spotlight on Data</subfield><subfield code="b">Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani</subfield><subfield code="c">Uttamchandani, Sandeep</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">O'Reilly Media, Inc.</subfield><subfield code="c">2019</subfield></datafield><datafield tag="264" ind1=" " ind2="2"><subfield code="a">Boston, MA</subfield><subfield code="b">Safari.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 video file, approximately 50 min.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</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">Online resource; Title from title screen (viewed December 20, 2019)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">There's no scarcity of raw data within enterprises. So why can't analysts and data scientists generate insights fast enough to keep up with business needs? Extracting insights depends on data engineering and source teams to ingest, clean, catalog, debug, and deploy, slowing down the overall process. One solution: make the data platform self-serve for analysts and data scientists. And Intuit is doing just that. In this Spotlight on Data, Sandeep Uttamchandani gives an overview of the self-serve design patterns and frameworks Intuit has built to expedite time to reliable insights-its metric of success. You'll learn how the company uses circuit breakers in data pipelines to make data availability in dashboards a function of the data quality, radically reducing debugging time. Recorded on September 16, 2019. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts' unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data, you'll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You'll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Streaming video</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéo en continu</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">streaming video</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic videos</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Safari, an O'Reilly Media Company.</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/0636920360278/?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="935" ind1=" " ind2=" "><subfield code="c">vide</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-049357697 |
illustrated | Not Illustrated |
indexdate | 2024-12-18T08:49:04Z |
institution | BVB |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 online resource (1 video file, approximately 50 min.) |
psigel | ZDB-30-ORH |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | O'Reilly Media, Inc. |
record_format | marc |
spelling | Uttamchandani, Sandeep 1979- VerfasserIn aut Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani Uttamchandani, Sandeep 1st edition. [Erscheinungsort nicht ermittelbar] O'Reilly Media, Inc. 2019 Boston, MA Safari. 1 online resource (1 video file, approximately 50 min.) zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; Title from title screen (viewed December 20, 2019) There's no scarcity of raw data within enterprises. So why can't analysts and data scientists generate insights fast enough to keep up with business needs? Extracting insights depends on data engineering and source teams to ingest, clean, catalog, debug, and deploy, slowing down the overall process. One solution: make the data platform self-serve for analysts and data scientists. And Intuit is doing just that. In this Spotlight on Data, Sandeep Uttamchandani gives an overview of the self-serve design patterns and frameworks Intuit has built to expedite time to reliable insights-its metric of success. You'll learn how the company uses circuit breakers in data pipelines to make data availability in dashboards a function of the data quality, radically reducing debugging time. Recorded on September 16, 2019. See the original event page for resources for further learning or watch recordings of other past events . O'Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts' unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data, you'll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You'll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy. Mode of access: World Wide Web. Internet videos Streaming video Vidéos sur Internet Vidéo en continu streaming video Electronic videos Safari, an O'Reilly Media Company. MitwirkendeR ctb TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/0636920360278/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
spellingShingle | Uttamchandani, Sandeep 1979- Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani Internet videos Streaming video Vidéos sur Internet Vidéo en continu streaming video Electronic videos |
title | Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani |
title_auth | Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani |
title_exact_search | Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani |
title_full | Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani Uttamchandani, Sandeep |
title_fullStr | Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani Uttamchandani, Sandeep |
title_full_unstemmed | Spotlight on Data Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani Uttamchandani, Sandeep |
title_short | Spotlight on Data |
title_sort | spotlight on data self service data reliable data pipelines at intuit with sandeep uttamchandani |
title_sub | Self-Service Data-Reliable Data Pipelines at Intuit with Sandeep Uttamchandani |
topic | Internet videos Streaming video Vidéos sur Internet Vidéo en continu streaming video Electronic videos |
topic_facet | Internet videos Streaming video Vidéos sur Internet Vidéo en continu streaming video Electronic videos |
url | https://learning.oreilly.com/library/view/-/0636920360278/?ar |
work_keys_str_mv | AT uttamchandanisandeep spotlightondataselfservicedatareliabledatapipelinesatintuitwithsandeeputtamchandani AT safarianoreillymediacompany spotlightondataselfservicedatareliabledatapipelinesatintuitwithsandeeputtamchandani |