| 000 | 02525nam a22004217i 4500 | ||
|---|---|---|---|
| 001 | 1311286433 | ||
| 003 | OCoLC | ||
| 005 | 20240902110445.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 220418s2022 caua o 000 0 eng d | ||
| 020 | _z9781098108304 | ||
| 035 | _a(OCoLC)1311286433 | ||
| 037 |
_a9781098108298 _bO'Reilly Media |
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| 040 |
_aORMDA _beng _erda _epn _cORMDA |
||
| 050 | 4 | _aQA76.9.D3 | |
| 082 | 0 | 4 |
_a004.6782 REI _223 _b24706 |
| 100 | 1 |
_aReis, Joe, _eauthor |
|
| 245 | 1 | 0 |
_aFundamentals of data engineering _cJoe Reis and Matt Housley |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aSebastopol, CA : _bO'Reilly Media, Inc., _c2022 |
|
| 300 |
_a1 online resource (204 pages) : _bcolor illustrations |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 504 | _aIncludes bibliographical references | ||
| 506 | _aAvailable to OhioLINK libraries | ||
| 520 | _aData engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle | ||
| 650 | 0 | _aDatabase management | |
| 650 | 0 | _aBig data | |
| 650 | 0 | _aData mining | |
| 655 | 4 | _aElectronic books | |
| 700 | 1 |
_aHousley, Matt, _eauthor |
|
| 710 | 2 | _aOhio Library and Information Network | |
| 852 | _p10004000024706 | ||
| 856 | 4 | 0 |
_3O'Reilly _zConnect to resource _uhttps://learning.oreilly.com/library/view/~/9781098108298/?ar |
| 942 |
_2ddc _cBK _n0 |
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| 999 |
_c489604 _d489604 |
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