Data lakes:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
[2021]
|
| Schriftenreihe: | for dummies
|
| Schlagworte: | |
| Beschreibung: | Auf dem Cover: turn data sources into usable analytics; refine and enrich your raw data; choose the right vendor to add quality to data Includes index |
| Beschreibung: | xiv, 367 Seiten Illustrationen 24 cm |
| ISBN: | 9781119786160 1119786169 |
Internformat
MARC
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|---|---|---|---|
| 001 | BV047445149 | ||
| 003 | DE-604 | ||
| 005 | 20211006 | ||
| 007 | t | ||
| 008 | 210830s2021 a||| |||| 00||| eng d | ||
| 020 | |a 9781119786160 |c Pb. |9 978-1-119-78616-0 | ||
| 020 | |a 1119786169 |9 1119786169 | ||
| 035 | |a (OCoLC)1269387259 | ||
| 035 | |a (DE-599)BVBBV047445149 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 |a DE-29T | ||
| 100 | 1 | |a Simon, Alan |d 1958- |e Verfasser |0 (DE-588)1241978050 |4 aut | |
| 245 | 1 | 0 | |a Data lakes |c by Alan Simon |
| 246 | 1 | 3 | |a Data lakes for dummies |
| 246 | 1 | 0 | |a Data lakes |
| 264 | 1 | |a Hoboken, NJ |b Wiley |c [2021] | |
| 264 | 4 | |c © 2021 | |
| 300 | |a xiv, 367 Seiten |b Illustrationen |c 24 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 336 | |b sti |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a for dummies | |
| 500 | |a Auf dem Cover: turn data sources into usable analytics; refine and enrich your raw data; choose the right vendor to add quality to data | ||
| 500 | |a Includes index | ||
| 505 | 8 | |a part 1. Getting started with data lakes: Jumping into the data lake ; Planning your day (and the next decade) at the data lake ; Break out the life vests : tracking data lake challenges -- part 2. Building the docks, avoiding the rocks: Imprinting your data lake on a reference architecture ; Anybody hungry? : ingesting and storing raw data in your bronze zone ; Your data lake's water treatment plant : the silver zone ; Bottling your data lake water in the gold zone ; Playing in the sandbox ; Fishing in the data lake ; Rowing end-to-end across the data lake -- part 3. Evaporating the data lake into the cloud: A cloudy day at the data lake ; Building data lkes in Amazon Web Services ; Building data lakes in Microsoft Azure -- part 4. Cleaning up the polluted data lake: Figuring out if you have a data swamp instead of a data lake ; Defining your data lake remediation strategy ; Refilling your data lake -- part 5. Making trips to the data lake a tradition: Checking your GPS : the data lake road map ; Bookin gfuture trips to the data lake -- part 6. The part of tens: Top ten reasons to invest in building a data lake ; Ten places to get help for your data lake ; Ten differences between a data warehouse and a data lake | |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenmanagement |0 (DE-588)4213132-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Data lake |0 (DE-588)1221088629 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Database management | |
| 653 | 0 | |a Management information systems | |
| 653 | 0 | |a Information storage and retrieval systems | |
| 653 | 0 | |a Information resources management | |
| 653 | 0 | |a Information retrieval | |
| 653 | 0 | |a Database management | |
| 653 | 0 | |a Information resources management | |
| 653 | 0 | |a Information storage and retrieval systems | |
| 653 | 0 | |a Management information systems | |
| 653 | 6 | |a Handbooks and manuals | |
| 653 | 6 | |a Instructional and educational works | |
| 653 | 6 | |a Instructional and educational works | |
| 653 | 6 | |a Handbooks and manuals | |
| 689 | 0 | 0 | |a Data lake |0 (DE-588)1221088629 |D s |
| 689 | 0 | 1 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | 2 | |a Data Mining |0 (DE-588)4428654-5 |D s |
| 689 | 0 | 3 | |a Datenmanagement |0 (DE-588)4213132-7 |D s |
| 689 | 0 | 4 | |a Data lake |0 (DE-588)1221088629 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-119-78617-7 |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-119-78618-4 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032847233 | ||
Datensatz im Suchindex
| _version_ | 1804182738823020544 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Simon, Alan 1958- |
| author_GND | (DE-588)1241978050 |
| author_facet | Simon, Alan 1958- |
| author_role | aut |
| author_sort | Simon, Alan 1958- |
| author_variant | a s as |
| building | Verbundindex |
| bvnumber | BV047445149 |
| contents | part 1. Getting started with data lakes: Jumping into the data lake ; Planning your day (and the next decade) at the data lake ; Break out the life vests : tracking data lake challenges -- part 2. Building the docks, avoiding the rocks: Imprinting your data lake on a reference architecture ; Anybody hungry? : ingesting and storing raw data in your bronze zone ; Your data lake's water treatment plant : the silver zone ; Bottling your data lake water in the gold zone ; Playing in the sandbox ; Fishing in the data lake ; Rowing end-to-end across the data lake -- part 3. Evaporating the data lake into the cloud: A cloudy day at the data lake ; Building data lkes in Amazon Web Services ; Building data lakes in Microsoft Azure -- part 4. Cleaning up the polluted data lake: Figuring out if you have a data swamp instead of a data lake ; Defining your data lake remediation strategy ; Refilling your data lake -- part 5. Making trips to the data lake a tradition: Checking your GPS : the data lake road map ; Bookin gfuture trips to the data lake -- part 6. The part of tens: Top ten reasons to invest in building a data lake ; Ten places to get help for your data lake ; Ten differences between a data warehouse and a data lake |
| ctrlnum | (OCoLC)1269387259 (DE-599)BVBBV047445149 |
| format | Book |
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| id | DE-604.BV047445149 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:01:59Z |
| indexdate | 2024-07-10T09:12:20Z |
| institution | BVB |
| isbn | 9781119786160 1119786169 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032847233 |
| oclc_num | 1269387259 |
| open_access_boolean | |
| owner | DE-706 DE-29T |
| owner_facet | DE-706 DE-29T |
| physical | xiv, 367 Seiten Illustrationen 24 cm |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley |
| record_format | marc |
| series2 | for dummies |
| spelling | Simon, Alan 1958- Verfasser (DE-588)1241978050 aut Data lakes by Alan Simon Data lakes for dummies Data lakes Hoboken, NJ Wiley [2021] © 2021 xiv, 367 Seiten Illustrationen 24 cm txt rdacontent sti rdacontent n rdamedia nc rdacarrier for dummies Auf dem Cover: turn data sources into usable analytics; refine and enrich your raw data; choose the right vendor to add quality to data Includes index part 1. Getting started with data lakes: Jumping into the data lake ; Planning your day (and the next decade) at the data lake ; Break out the life vests : tracking data lake challenges -- part 2. Building the docks, avoiding the rocks: Imprinting your data lake on a reference architecture ; Anybody hungry? : ingesting and storing raw data in your bronze zone ; Your data lake's water treatment plant : the silver zone ; Bottling your data lake water in the gold zone ; Playing in the sandbox ; Fishing in the data lake ; Rowing end-to-end across the data lake -- part 3. Evaporating the data lake into the cloud: A cloudy day at the data lake ; Building data lkes in Amazon Web Services ; Building data lakes in Microsoft Azure -- part 4. Cleaning up the polluted data lake: Figuring out if you have a data swamp instead of a data lake ; Defining your data lake remediation strategy ; Refilling your data lake -- part 5. Making trips to the data lake a tradition: Checking your GPS : the data lake road map ; Bookin gfuture trips to the data lake -- part 6. The part of tens: Top ten reasons to invest in building a data lake ; Ten places to get help for your data lake ; Ten differences between a data warehouse and a data lake Big Data (DE-588)4802620-7 gnd rswk-swf Datenmanagement (DE-588)4213132-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Data lake (DE-588)1221088629 gnd rswk-swf Database management Management information systems Information storage and retrieval systems Information resources management Information retrieval Handbooks and manuals Instructional and educational works Data lake (DE-588)1221088629 s Big Data (DE-588)4802620-7 s Data Mining (DE-588)4428654-5 s Datenmanagement (DE-588)4213132-7 s DE-604 Erscheint auch als Online-Ausgabe 978-1-119-78617-7 Erscheint auch als Online-Ausgabe 978-1-119-78618-4 |
| spellingShingle | Simon, Alan 1958- Data lakes part 1. Getting started with data lakes: Jumping into the data lake ; Planning your day (and the next decade) at the data lake ; Break out the life vests : tracking data lake challenges -- part 2. Building the docks, avoiding the rocks: Imprinting your data lake on a reference architecture ; Anybody hungry? : ingesting and storing raw data in your bronze zone ; Your data lake's water treatment plant : the silver zone ; Bottling your data lake water in the gold zone ; Playing in the sandbox ; Fishing in the data lake ; Rowing end-to-end across the data lake -- part 3. Evaporating the data lake into the cloud: A cloudy day at the data lake ; Building data lkes in Amazon Web Services ; Building data lakes in Microsoft Azure -- part 4. Cleaning up the polluted data lake: Figuring out if you have a data swamp instead of a data lake ; Defining your data lake remediation strategy ; Refilling your data lake -- part 5. Making trips to the data lake a tradition: Checking your GPS : the data lake road map ; Bookin gfuture trips to the data lake -- part 6. The part of tens: Top ten reasons to invest in building a data lake ; Ten places to get help for your data lake ; Ten differences between a data warehouse and a data lake Big Data (DE-588)4802620-7 gnd Datenmanagement (DE-588)4213132-7 gnd Data Mining (DE-588)4428654-5 gnd Data lake (DE-588)1221088629 gnd |
| subject_GND | (DE-588)4802620-7 (DE-588)4213132-7 (DE-588)4428654-5 (DE-588)1221088629 |
| title | Data lakes |
| title_alt | Data lakes for dummies Data lakes |
| title_auth | Data lakes |
| title_exact_search | Data lakes |
| title_exact_search_txtP | Data lakes |
| title_full | Data lakes by Alan Simon |
| title_fullStr | Data lakes by Alan Simon |
| title_full_unstemmed | Data lakes by Alan Simon |
| title_short | Data lakes |
| title_sort | data lakes |
| topic | Big Data (DE-588)4802620-7 gnd Datenmanagement (DE-588)4213132-7 gnd Data Mining (DE-588)4428654-5 gnd Data lake (DE-588)1221088629 gnd |
| topic_facet | Big Data Datenmanagement Data Mining Data lake |
| work_keys_str_mv | AT simonalan datalakes AT simonalan datalakesfordummies |