Serverless ETL and analytics with AWS glue: your comprehensive reference guide to learning about AWS glue and Its features
Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Learn to work with AWS Glue to overcome typical implementation challenges in data lakes Create and manage serverless ETL pipelines that can scale to manage big data Written by AWS Glue community members...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt Publishing, Limited
2022
|
| Ausgabe: | First published |
| Schlagworte: | |
| Online-Zugang: | DE-Aug4 DE-898 DE-860 DE-706 DE-573 URL des Erstveröffentlichers |
| Zusammenfassung: | Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Learn to work with AWS Glue to overcome typical implementation challenges in data lakes Create and manage serverless ETL pipelines that can scale to manage big data Written by AWS Glue community members, this practical guide shows you how to implement AWS Glue in no time Book Description Organizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes. Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You'll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you'll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options. By the end of this AWS book, you'll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue. What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for This book is for ETL developers, data engineers, and data analysts who want to understand how AWS Glue can help you solve your business problems. Basic knowledge of AWS data services is assumed. |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (435 pages) |
| ISBN: | 9781800562554 1800562551 |
Internformat
MARC
| LEADER | 00000nam a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV048593242 | ||
| 003 | DE-604 | ||
| 005 | 20240209 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 221205s2022 xx o|||| 00||| eng d | ||
| 020 | |a 9781800562554 |c EBook (PDF) |9 978-1-80056-255-4 | ||
| 020 | |a 1800562551 |c EBook (PDF) |9 1-80056-255-1 | ||
| 035 | |a (OCoLC)1347360169 | ||
| 035 | |a (DE-599)KEP082178232 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-860 |a DE-706 |a DE-898 |a DE-573 | ||
| 082 | 0 | |a 004.6782 |2 23 | |
| 100 | 1 | |a Pathak, Vishal |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Serverless ETL and analytics with AWS glue |b your comprehensive reference guide to learning about AWS glue and Its features |c Vishal Pathak, Subramanya Vajiraya, Moritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur |
| 250 | |a First published | ||
| 264 | 1 | |a Birmingham ; Mumbai |b Packt Publishing, Limited |c 2022 | |
| 300 | |a 1 online resource (435 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Print version record | ||
| 520 | 3 | |a Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Learn to work with AWS Glue to overcome typical implementation challenges in data lakes Create and manage serverless ETL pipelines that can scale to manage big data Written by AWS Glue community members, this practical guide shows you how to implement AWS Glue in no time Book Description Organizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes. Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. | |
| 520 | 3 | |a It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You'll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you'll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options. By the end of this AWS book, you'll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue. | |
| 520 | 3 | |a What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for This book is for ETL developers, data engineers, and data analysts who want to understand how AWS Glue can help you solve your business problems. Basic knowledge of AWS data services is assumed. | |
| 653 | |a Amazon Web Services | ||
| 653 | 0 | |a Cloud computing | |
| 653 | 0 | |a Web services | |
| 653 | 0 | |a Application software / Development | |
| 700 | 1 | |a Vajiraya, Subramanya |e Sonstige |4 oth | |
| 700 | 1 | |a Sekiyama, Noritaka |e Sonstige |4 oth | |
| 700 | 1 | |a Tanaka, Tomohiro |e Sonstige |4 oth | |
| 700 | 1 | |a Quiroga, Albert |e Sonstige |4 oth | |
| 700 | 1 | |a Gaur, Ishan |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781800564985 |
| 856 | 4 | 0 | |u https://portal.igpublish.com/iglibrary/search/PACKT0006346.html |x Aggregator |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-PQE | ||
| 912 | |a ZDB-221-PDA | ||
| 912 | |a ZDB-221-PPK | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033968907 | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006346.html |l DE-Aug4 |p ZDB-221-PPK |q FHA_PDA_PPK |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006346.html |l DE-898 |p ZDB-221-PDA |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006346.html |l DE-860 |p ZDB-221-PDA |q FLA_PDA_Kauf |x Aggregator |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006346.html |l DE-706 |p ZDB-221-PDA |x Aggregator |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006346.html |l DE-573 |p ZDB-221-PDA |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1822762099251609600 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Pathak, Vishal |
| author_facet | Pathak, Vishal |
| author_role | aut |
| author_sort | Pathak, Vishal |
| author_variant | v p vp |
| building | Verbundindex |
| bvnumber | BV048593242 |
| collection | ZDB-30-ORH ZDB-30-PQE ZDB-221-PDA ZDB-221-PPK |
| ctrlnum | (OCoLC)1347360169 (DE-599)KEP082178232 |
| dewey-full | 004.6782 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.6782 |
| dewey-search | 004.6782 |
| dewey-sort | 14.6782 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | First published |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a22000001c 4500</leader><controlfield tag="001">BV048593242</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240209</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">221205s2022 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781800562554</subfield><subfield code="c">EBook (PDF)</subfield><subfield code="9">978-1-80056-255-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1800562551</subfield><subfield code="c">EBook (PDF)</subfield><subfield code="9">1-80056-255-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1347360169</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP082178232</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-860</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-573</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004.6782</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pathak, Vishal</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Serverless ETL and analytics with AWS glue</subfield><subfield code="b">your comprehensive reference guide to learning about AWS glue and Its features</subfield><subfield code="c">Vishal Pathak, Subramanya Vajiraya, Moritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First published</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt Publishing, Limited</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (435 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Print version record</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Learn to work with AWS Glue to overcome typical implementation challenges in data lakes Create and manage serverless ETL pipelines that can scale to manage big data Written by AWS Glue community members, this practical guide shows you how to implement AWS Glue in no time Book Description Organizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes. Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You'll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you'll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options. By the end of this AWS book, you'll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for This book is for ETL developers, data engineers, and data analysts who want to understand how AWS Glue can help you solve your business problems. Basic knowledge of AWS data services is assumed.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Amazon Web Services</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Cloud computing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Web services</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Application software / Development</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vajiraya, Subramanya</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sekiyama, Noritaka</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tanaka, Tomohiro</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Quiroga, Albert</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gaur, Ishan</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</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">9781800564985</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006346.html</subfield><subfield code="x">Aggregator</subfield><subfield code="z">URL des Erstveröffentlichers</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-PQE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-221-PDA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-221-PPK</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033968907</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006346.html</subfield><subfield code="l">DE-Aug4</subfield><subfield code="p">ZDB-221-PPK</subfield><subfield code="q">FHA_PDA_PPK</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006346.html</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006346.html</subfield><subfield code="l">DE-860</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="q">FLA_PDA_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006346.html</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006346.html</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048593242 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:08:04Z |
| indexdate | 2025-01-31T11:03:18Z |
| institution | BVB |
| isbn | 9781800562554 1800562551 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033968907 |
| oclc_num | 1347360169 |
| open_access_boolean | |
| owner | DE-860 DE-706 DE-898 DE-BY-UBR DE-573 |
| owner_facet | DE-860 DE-706 DE-898 DE-BY-UBR DE-573 |
| physical | 1 online resource (435 pages) |
| psigel | ZDB-30-ORH ZDB-30-PQE ZDB-221-PDA ZDB-221-PPK ZDB-221-PPK FHA_PDA_PPK ZDB-221-PDA FLA_PDA_Kauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Packt Publishing, Limited |
| record_format | marc |
| spelling | Pathak, Vishal Verfasser aut Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features Vishal Pathak, Subramanya Vajiraya, Moritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur First published Birmingham ; Mumbai Packt Publishing, Limited 2022 1 online resource (435 pages) txt rdacontent c rdamedia cr rdacarrier Print version record Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Learn to work with AWS Glue to overcome typical implementation challenges in data lakes Create and manage serverless ETL pipelines that can scale to manage big data Written by AWS Glue community members, this practical guide shows you how to implement AWS Glue in no time Book Description Organizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes. Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You'll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you'll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options. By the end of this AWS book, you'll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue. What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for This book is for ETL developers, data engineers, and data analysts who want to understand how AWS Glue can help you solve your business problems. Basic knowledge of AWS data services is assumed. Amazon Web Services Cloud computing Web services Application software / Development Vajiraya, Subramanya Sonstige oth Sekiyama, Noritaka Sonstige oth Tanaka, Tomohiro Sonstige oth Quiroga, Albert Sonstige oth Gaur, Ishan Sonstige oth Erscheint auch als Druck-Ausgabe 9781800564985 https://portal.igpublish.com/iglibrary/search/PACKT0006346.html Aggregator URL des Erstveröffentlichers Volltext |
| spellingShingle | Pathak, Vishal Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features |
| title | Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features |
| title_auth | Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features |
| title_exact_search | Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features |
| title_exact_search_txtP | Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features |
| title_full | Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features Vishal Pathak, Subramanya Vajiraya, Moritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur |
| title_fullStr | Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features Vishal Pathak, Subramanya Vajiraya, Moritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur |
| title_full_unstemmed | Serverless ETL and analytics with AWS glue your comprehensive reference guide to learning about AWS glue and Its features Vishal Pathak, Subramanya Vajiraya, Moritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur |
| title_short | Serverless ETL and analytics with AWS glue |
| title_sort | serverless etl and analytics with aws glue your comprehensive reference guide to learning about aws glue and its features |
| title_sub | your comprehensive reference guide to learning about AWS glue and Its features |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0006346.html |
| work_keys_str_mv | AT pathakvishal serverlessetlandanalyticswithawsglueyourcomprehensivereferenceguidetolearningaboutawsglueanditsfeatures AT vajirayasubramanya serverlessetlandanalyticswithawsglueyourcomprehensivereferenceguidetolearningaboutawsglueanditsfeatures AT sekiyamanoritaka serverlessetlandanalyticswithawsglueyourcomprehensivereferenceguidetolearningaboutawsglueanditsfeatures AT tanakatomohiro serverlessetlandanalyticswithawsglueyourcomprehensivereferenceguidetolearningaboutawsglueanditsfeatures AT quirogaalbert serverlessetlandanalyticswithawsglueyourcomprehensivereferenceguidetolearningaboutawsglueanditsfeatures AT gaurishan serverlessetlandanalyticswithawsglueyourcomprehensivereferenceguidetolearningaboutawsglueanditsfeatures |