Effective data science infrastructure how to make data scientists productive
Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastru...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Shelter Island, NY
Manning Publications
2022
|
| Schlagworte: | |
| Online-Zugang: | lizenzpflichtig |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-081847653 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121749.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220906s2022 xx |||||o 00| ||eng c | ||
| 020 | |a 9781638350989 |c electronic bk. |9 978-1-63835-098-9 | ||
| 020 | |a 1638350981 |c electronic bk. |9 1-63835-098-1 | ||
| 020 | |a 9781617299193 |c electronic bk. |9 978-1-61729-919-3 | ||
| 020 | |a 1617299197 |c electronic bk. |9 1-61729-919-7 | ||
| 035 | |a (DE-627-1)081847653 | ||
| 035 | |a (DE-599)KEP081847653 | ||
| 035 | |a (ORHE)9781617299193 | ||
| 035 | |a (DE-627-1)081847653 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 006.3/12 |2 23/eng/20220817 | |
| 100 | 1 | |a Tuulos, Ville |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Effective data science infrastructure |b how to make data scientists productive |c Ville Tuulos ; foreword by Travis Oliphant |
| 264 | 1 | |a Shelter Island, NY |b Manning Publications |c 2022 | |
| 300 | |a 1 online resource (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 index. - Description based on print version record | ||
| 520 | |a Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastructure. In it, you'll master scalable techniques for data storage, computation, experiment tracking, and orchestration that are relevant to companies of all shapes and sizes. You'll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python. | ||
| 650 | 0 | |a Data mining | |
| 650 | 0 | |a Database management | |
| 650 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a Bases de données ; Gestion | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Database management | |
| 700 | 1 | |a Oliphant, Travis E. |e MitwirkendeR |4 ctb | |
| 776 | 1 | |z 9781617299193 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781617299193 |
| 856 | 4 | 0 | |l TUM01 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781617299193/?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-081847653 |
|---|---|
| _version_ | 1818767251305660416 |
| adam_text | |
| any_adam_object | |
| author | Tuulos, Ville |
| author2 | Oliphant, Travis E. |
| author2_role | ctb |
| author2_variant | t e o te teo |
| author_facet | Tuulos, Ville Oliphant, Travis E. |
| author_role | aut |
| author_sort | Tuulos, Ville |
| author_variant | v t vt |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)081847653 (DE-599)KEP081847653 (ORHE)9781617299193 |
| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02403cam a22004812 4500</leader><controlfield tag="001">ZDB-30-ORH-081847653</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121749.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220906s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781638350989</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-63835-098-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1638350981</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-63835-098-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781617299193</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-61729-919-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1617299197</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-61729-919-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)081847653</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP081847653</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781617299193</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)081847653</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">006.3/12</subfield><subfield code="2">23/eng/20220817</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tuulos, Ville</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effective data science infrastructure</subfield><subfield code="b">how to make data scientists productive</subfield><subfield code="c">Ville Tuulos ; foreword by Travis Oliphant</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Shelter Island, NY</subfield><subfield code="b">Manning Publications</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (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 index. - Description based on print version record</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastructure. In it, you'll master scalable techniques for data storage, computation, experiment tracking, and orchestration that are relevant to companies of all shapes and sizes. You'll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Database management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bases de données ; Gestion</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Database management</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Oliphant, Travis E.</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781617299193</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781617299193</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/-/9781617299193/?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-081847653 |
| illustrated | Illustrated |
| indexdate | 2024-12-18T08:46:55Z |
| institution | BVB |
| isbn | 9781638350989 1638350981 9781617299193 1617299197 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (1 volume) illustrations |
| psigel | ZDB-30-ORH |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Manning Publications |
| record_format | marc |
| spelling | Tuulos, Ville VerfasserIn aut Effective data science infrastructure how to make data scientists productive Ville Tuulos ; foreword by Travis Oliphant Shelter Island, NY Manning Publications 2022 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Description based on print version record Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastructure. In it, you'll master scalable techniques for data storage, computation, experiment tracking, and orchestration that are relevant to companies of all shapes and sizes. You'll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python. Data mining Database management Exploration de données (Informatique) Bases de données ; Gestion Oliphant, Travis E. MitwirkendeR ctb 9781617299193 Erscheint auch als Druck-Ausgabe 9781617299193 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781617299193/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Tuulos, Ville Effective data science infrastructure how to make data scientists productive Data mining Database management Exploration de données (Informatique) Bases de données ; Gestion |
| title | Effective data science infrastructure how to make data scientists productive |
| title_auth | Effective data science infrastructure how to make data scientists productive |
| title_exact_search | Effective data science infrastructure how to make data scientists productive |
| title_full | Effective data science infrastructure how to make data scientists productive Ville Tuulos ; foreword by Travis Oliphant |
| title_fullStr | Effective data science infrastructure how to make data scientists productive Ville Tuulos ; foreword by Travis Oliphant |
| title_full_unstemmed | Effective data science infrastructure how to make data scientists productive Ville Tuulos ; foreword by Travis Oliphant |
| title_short | Effective data science infrastructure |
| title_sort | effective data science infrastructure how to make data scientists productive |
| title_sub | how to make data scientists productive |
| topic | Data mining Database management Exploration de données (Informatique) Bases de données ; Gestion |
| topic_facet | Data mining Database management Exploration de données (Informatique) Bases de données ; Gestion |
| url | https://learning.oreilly.com/library/view/-/9781617299193/?ar |
| work_keys_str_mv | AT tuulosville effectivedatascienceinfrastructurehowtomakedatascientistsproductive AT oliphanttravise effectivedatascienceinfrastructurehowtomakedatascientistsproductive |