Blockchain data analytics:
Blockchain is about to upend the world of data analytics just as it did financial record-keeping. Here's what you need to become an early adopted of blockchain as a big-data tool! Explore how blockchains store data and learn how this rich new source of data can enhance predictive analytics and...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Hoboken, NJ
John Wiley & Sons, Inc.
[2020]
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Schriftenreihe: | For dummies
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Schlagworte: | |
Zusammenfassung: | Blockchain is about to upend the world of data analytics just as it did financial record-keeping. Here's what you need to become an early adopted of blockchain as a big-data tool! Explore how blockchains store data and learn how this rich new source of data can enhance predictive analytics and real-time data analysis. You'll also find out how blockchains can help you manage your data and keep shared data more secure. Learn to implement blockchain analysis models, use third-party toolsets, assess your analysis needs, and more. -- From publisher's description |
Beschreibung: | Auf dem Umschlag: "Discover how blockchains are disrupting the data world", "Build models that classify, predict, and analyze data", "Use analytics models to solve business problem" Learning made easy |
Beschreibung: | xiii, 330 Seiten Illustrationen 24 cm |
ISBN: | 9781119651772 1119651778 |
Internformat
MARC
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020 | |a 9781119651772 |c pbk |9 978-1-119-65177-2 | ||
020 | |a 1119651778 |9 1119651778 | ||
035 | |a (OCoLC)1237589874 | ||
035 | |a (DE-599)BVBBV047075513 | ||
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049 | |a DE-29T | ||
100 | 1 | |a Solomon, Michael G. |d 1963- |e Verfasser |0 (DE-588)1044663928 |4 aut | |
245 | 1 | 0 | |a Blockchain data analytics |c by Michael Solomon |
264 | 1 | |a Hoboken, NJ |b John Wiley & Sons, Inc. |c [2020] | |
300 | |a xiii, 330 Seiten |b Illustrationen |c 24 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a For dummies | |
500 | |a Auf dem Umschlag: "Discover how blockchains are disrupting the data world", "Build models that classify, predict, and analyze data", "Use analytics models to solve business problem" | ||
500 | |a Learning made easy | ||
505 | 8 | |a Part 1: Intro to analytics and blockchain. Driving business with data and analytics ; Digging into blockchain technology ; Identifying blockchain data with value ; Implementing blockchain analytics in business ; Interacting with blockchain data. -- Part 2: Fetching blockchain chain. Parsing blockchain data and building the analysis dataset ; Building basic blockchain analysis models ; Leveraging advanced blockchain analysis models. -- Part 3: Analyzing and visualizing blockchain analysis data. Identifying clustered and related data ; Classifying blockchain data ; Predicting the future with regression ; Analyzing blockchain data over time. -- Part 4: Implementing blockchain analysis models. Writing models from scratch ; Calling on existing frameworks ; Using third-party toolsets and frameworks ; Putting it all together. -- Part 5: The part of tens. Ten tools for developing blockchain analytics models ; Ten tips for visualizing data ; Ten uses for blockchain analytics | |
520 | 3 | |a Blockchain is about to upend the world of data analytics just as it did financial record-keeping. Here's what you need to become an early adopted of blockchain as a big-data tool! Explore how blockchains store data and learn how this rich new source of data can enhance predictive analytics and real-time data analysis. You'll also find out how blockchains can help you manage your data and keep shared data more secure. Learn to implement blockchain analysis models, use third-party toolsets, assess your analysis needs, and more. -- From publisher's description | |
653 | 0 | |a Blockchains (Databases) | |
653 | 0 | |a Cryptocurrencies | |
653 | 0 | |a Bitcoin | |
653 | 0 | |a Data encryption (Computer science) | |
653 | 0 | |a Electronic commerce | |
653 | 0 | |a Bitcoin | |
653 | 0 | |a Blockchains (Databases) | |
653 | 0 | |a Cryptocurrencies | |
653 | 0 | |a Data encryption (Computer science) | |
653 | 0 | |a Electronic commerce | |
653 | 6 | |a Handbooks and manuals | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-119-65175-8 |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-119-65178-9 |
999 | |a oai:aleph.bib-bvb.de:BVB01-032482477 |
Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Solomon, Michael G. 1963- |
author_GND | (DE-588)1044663928 |
author_facet | Solomon, Michael G. 1963- |
author_role | aut |
author_sort | Solomon, Michael G. 1963- |
author_variant | m g s mg mgs |
building | Verbundindex |
bvnumber | BV047075513 |
contents | Part 1: Intro to analytics and blockchain. Driving business with data and analytics ; Digging into blockchain technology ; Identifying blockchain data with value ; Implementing blockchain analytics in business ; Interacting with blockchain data. -- Part 2: Fetching blockchain chain. Parsing blockchain data and building the analysis dataset ; Building basic blockchain analysis models ; Leveraging advanced blockchain analysis models. -- Part 3: Analyzing and visualizing blockchain analysis data. Identifying clustered and related data ; Classifying blockchain data ; Predicting the future with regression ; Analyzing blockchain data over time. -- Part 4: Implementing blockchain analysis models. Writing models from scratch ; Calling on existing frameworks ; Using third-party toolsets and frameworks ; Putting it all together. -- Part 5: The part of tens. Ten tools for developing blockchain analytics models ; Ten tips for visualizing data ; Ten uses for blockchain analytics |
ctrlnum | (OCoLC)1237589874 (DE-599)BVBBV047075513 |
format | Book |
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id | DE-604.BV047075513 |
illustrated | Illustrated |
index_date | 2024-07-03T16:14:41Z |
indexdate | 2024-07-10T09:01:53Z |
institution | BVB |
isbn | 9781119651772 1119651778 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032482477 |
oclc_num | 1237589874 |
open_access_boolean | |
owner | DE-29T |
owner_facet | DE-29T |
physical | xiii, 330 Seiten Illustrationen 24 cm |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | marc |
series2 | For dummies |
spelling | Solomon, Michael G. 1963- Verfasser (DE-588)1044663928 aut Blockchain data analytics by Michael Solomon Hoboken, NJ John Wiley & Sons, Inc. [2020] xiii, 330 Seiten Illustrationen 24 cm txt rdacontent n rdamedia nc rdacarrier For dummies Auf dem Umschlag: "Discover how blockchains are disrupting the data world", "Build models that classify, predict, and analyze data", "Use analytics models to solve business problem" Learning made easy Part 1: Intro to analytics and blockchain. Driving business with data and analytics ; Digging into blockchain technology ; Identifying blockchain data with value ; Implementing blockchain analytics in business ; Interacting with blockchain data. -- Part 2: Fetching blockchain chain. Parsing blockchain data and building the analysis dataset ; Building basic blockchain analysis models ; Leveraging advanced blockchain analysis models. -- Part 3: Analyzing and visualizing blockchain analysis data. Identifying clustered and related data ; Classifying blockchain data ; Predicting the future with regression ; Analyzing blockchain data over time. -- Part 4: Implementing blockchain analysis models. Writing models from scratch ; Calling on existing frameworks ; Using third-party toolsets and frameworks ; Putting it all together. -- Part 5: The part of tens. Ten tools for developing blockchain analytics models ; Ten tips for visualizing data ; Ten uses for blockchain analytics Blockchain is about to upend the world of data analytics just as it did financial record-keeping. Here's what you need to become an early adopted of blockchain as a big-data tool! Explore how blockchains store data and learn how this rich new source of data can enhance predictive analytics and real-time data analysis. You'll also find out how blockchains can help you manage your data and keep shared data more secure. Learn to implement blockchain analysis models, use third-party toolsets, assess your analysis needs, and more. -- From publisher's description Blockchains (Databases) Cryptocurrencies Bitcoin Data encryption (Computer science) Electronic commerce Handbooks and manuals Erscheint auch als Online-Ausgabe 978-1-119-65175-8 Erscheint auch als Online-Ausgabe 978-1-119-65178-9 |
spellingShingle | Solomon, Michael G. 1963- Blockchain data analytics Part 1: Intro to analytics and blockchain. Driving business with data and analytics ; Digging into blockchain technology ; Identifying blockchain data with value ; Implementing blockchain analytics in business ; Interacting with blockchain data. -- Part 2: Fetching blockchain chain. Parsing blockchain data and building the analysis dataset ; Building basic blockchain analysis models ; Leveraging advanced blockchain analysis models. -- Part 3: Analyzing and visualizing blockchain analysis data. Identifying clustered and related data ; Classifying blockchain data ; Predicting the future with regression ; Analyzing blockchain data over time. -- Part 4: Implementing blockchain analysis models. Writing models from scratch ; Calling on existing frameworks ; Using third-party toolsets and frameworks ; Putting it all together. -- Part 5: The part of tens. Ten tools for developing blockchain analytics models ; Ten tips for visualizing data ; Ten uses for blockchain analytics |
title | Blockchain data analytics |
title_auth | Blockchain data analytics |
title_exact_search | Blockchain data analytics |
title_exact_search_txtP | Blockchain data analytics |
title_full | Blockchain data analytics by Michael Solomon |
title_fullStr | Blockchain data analytics by Michael Solomon |
title_full_unstemmed | Blockchain data analytics by Michael Solomon |
title_short | Blockchain data analytics |
title_sort | blockchain data analytics |
work_keys_str_mv | AT solomonmichaelg blockchaindataanalytics |