Multirem DAYCO 6PK1732S
Ribbantal: 6; Längd[mm]: 1732,0; Längd[mm]: 1732; Drivna aggregat: Generator, Luftkond.kompressor; Fordonsutrustningslinje/-variant: DAUB, EPDM3, DAUA, DAVA, DAUB , MC UYB, DAUB MC UYB, DAUA , MC UYB, DAUA MC UYB, DAVA , MC UYB, DAVA MC UYB, DAUB , MC UZB, DAUB , MC UZT, DAUA , MC UZB, DAUA , MC UZO, DAUA , MC UZI, DAVA , MC UZB, DAVA , MC UZI, DASA , MC UYB, DAWA , MC UYB, DAWA , MC UZB, DAWA MC UZI, DAWA , MC UZH, DAWA, DAVA MC UZI, DAUB , MC UYI, DAUA , MC UYI, DAVA , MC UYI, DASA MC UYJ, DAWA MC UYJ; för OE-nummer: 04L260849K; Motorkod: DAUB, DAUA, DAVA, DAWA
Dada Data
Dada Data
Dada Data
Dada Data
Styrrulle, drivrem DAYCO APV3035
Remskive-Ø [mm]: 70,1; Höjd 1 [mm]: 30,2; Höjd 2 [mm]: 32,3; Vikt [kg]: 0,6; Fordonsutrustningslinje/-variant: IDLER, BLBBRE, BNABRF, DAUB # 180 A, DAUA # 180 A, DAVA # 180 A, DAUB , MC UYB, DAUB MC UYB, DAUA , MC UYB, DAUA MC UYB, DAVA , MC UYB, DAVA MC UYB, DAUB , MC UZB, DAUA , MC UZB, DAUA , MC UZU, DAVA , MC UZB, DAVA , MC UZI, DASA , MC UYB, DAWA , MC UYB, DAWA , MC UZB, DAWA , MC UZP, DAWA # DA, DAUA MC UZI, DAVA MC UZI, DAUB , MC UYI, DAUA , MC UYI, DAVA , MC UYI, DASA MC UYJ, DAWA MC UYJ, DAUA # DA; Motorkod: CSLA, CSNA, CSLB, CSLC, DAUB, DAUA, DAVA, DAWA; Drivna aggregat: Luftkond.kompressor, Generator, Servostyrningspump; för OE-nummer: 3G145276A, 03G145276A
Multirem DAYCO 6PK1696
Ribbantal: 6; Längd[mm]: 1696,0; Längd[mm]: 1696; Drivna aggregat: Generator; Fordonsutrustningslinje/-variant: DAUB, DAUA, DAVA, DAUB , MC UYB, DAUB MC UYB, 180 A DAUA, 180 A DAVA, DAUB , MC UZB, DASA , MC UYB, DAWA , MC UYB, DAWA , MC UZB, DAWA , MC UZH, DAWA, DAUB , MC UYI, DASA MC UYJ, DAWA MC UYJ; för OE-nummer: 04L903137C; Motorkod: DAUB, DAWA
Big Data
New and expanded edition.An International Bestseller - Over One Million Copies Sold!Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award.Since Aristotle, we have fought to understand the causes behind everything. But t...
Big Data
Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy m...
Big Data
Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big
Big Data
Big Data
Big Data
Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated ea...
Big Data
Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. Drawing on case studies lik...
Big Data
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Big Data
What is Big Data, and why should you care? Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims. But how well do you know big data? You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun? Yes. Yes, you can. Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book. Starting with the basics - what IS data? And what makes it big? - Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it's taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being?
Big Data
Big Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the ...
Big Data
Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed ...
Big Data
Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy m...
Big Data?
This volume seeks to address the emerging relationships between qualitative research and digital data. At the present time, ubiquitous digital data is altering the foci of research, the contexts in which research takes place, and the methods and t...
Big Data
Is the Brexit vote successful big data politics or the end of democracy? Why do airlines overbook, and why do banks get it wrong so often? How does big data enable Netflix to forecast a hit, CERN to find the Higgs boson and medics to discover if r...
Big Data
As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this dat...
Big Data
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight int...
Big Data
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Big Data
In recent years, the application of artificial intelligence and big data analysis has become increasingly common, including in areas related to security and cybersecurity. The use of artificial intelligence and advanced big data analysis tools has...
Big Data
Since the early 2000s, digital data has transformed the way we live and work. This timely book looks to big data analytics to understand this revolutionary change, unpacking the impact of big data analytics on the mobilization and allocation of in...
Big Data
Big Data [Bok / Pocket]
Big Data, Little Data, No Data
An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. 'Big Data' is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data-because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure-an ecology of people, practices, technologies,
Kamremssats DAYCO KTB999
Vikt [kg]: 1,1; Motorkod: CUSB, CUSA/CYZB, CUTA/CYZA, CUTA, CUSA, CXMA; Fordonsutrustningslinje/-variant: HT -CUSB # CU, HT -KTB, HT -CUSACYZB # Mt, HT -CUTACYZA # Mt, HT -CUTA # CU, HT -CUSA # CU, KTB, HT -DAUA , MC UYB, HT -DAUA MC UYB, HT -DAVA , MC UYB, HT -DAVA MC UYB, HT-0104>,>0204,M, HT -DAUA, HT -DAVA, HT -DASA , MC UYB, HT -DASA, HT -DASB , MC UYB, HT -DAWA , MC UYB, HT -DASB, HT -DAWA, HT -DAUA , MC UYI, HT -DAVA , MC UYI, HT -DASA MC UYJ, HT -DAWA MC UYJ; Tandantal: 145; Bredd[mm]: 25; Antal remmar: 1; innehåller rullar: 2; Drivna aggregat: Kamaxel; Längd[mm]: 1381
Data Analytics and Big Data
The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involvin...
Kamremssats med vattenpump DAYCO KTBWP9991
Vikt [kg]: 2,7; Kompletteringsartikel / tilläggsinfo 2: växlingsbar vattenpump; Motorkod: CUSB, CUSA/CYZB, CUTA/CYZA, CUTA, CUSA; Fordonsutrustningslinje/-variant: HT -CUSB # CU, HT -CUSB, HT -CUSACYZB # Mt, HT -CUSACYZB, HT -CUTACYZA # Mt, HT -CUTA # CU, HT -CUTA, HT -CUSA # CU, HT -CUSA, HT -CUTACYZA, HT -1097> , CUSB, HT -DAUA , MC UYB, HT -DAUA MC UYB, HT -DAVA , MC UYB, HT -DAVA MC UYB, HT-1002>,>1203,M, HT -DAUA, HT -DAVA, HT -DASA , MC UYB, HT -DASA, HT -DASB , MC UYB, HT -DAWA , MC UYB, HT -DASB, HT -DAWA, HT -DAUA , MC UYI, HT -DAVA , MC UYI, HT -DASA MC UYJ, HT -DAWA MC UYJ; Tandantal: 145; Bredd[mm]: 25; Längd[mm]: 1381; Antal remmar: 1; innehåller rullar: 2; Drivna aggregat: Kamaxel
Kamremssats med vattenpump DAYCO KTBWP9990
Vikt [kg]: 2,6; Kompletteringsartikel / tilläggsinfo 2: ej växlingsbar vattenpump; Motorkod: CUSB, CUSA/CYZB, CUTA/CYZA, CUTA, CUSA; Fordonsutrustningslinje/-variant: HT -CUSB # CU, HT -CUSB, HT -CUSACYZB # Mt, HT -CUSACYZB, HT -CUTACYZA # Mt, HT -CUTA # CU, HT -CUTA, HT -CUSA # CU, HT -CUSA, HT -CUTACYZA, HT -1097> , CUSB, HT -DAUA , MC UYB, HT -DAUA MC UYB, HT -DAVA , MC UYB, HT -DAVA MC UYB, HT-1002>,>1203,M, HT -DAUA, HT -DAVA, HT -DASA , MC UYB, HT -DASA, HT -DASB , MC UYB, HT -DAWA , MC UYB, HT -DASB, HT -DAWA, HT -DAUA , MC UYI, HT -DAVA , MC UYI, HT -DASA MC UYJ, HT -DAWA MC UYJ; Tandantal: 145; Bredd[mm]: 25; Längd[mm]: 1381; Antal remmar: 1; innehåller rullar: 2; Drivna aggregat: Kamaxel
Big Data, Big Analytics
Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the hist...
Big Data, Big Dupe
Big Data, Big Dupe" is a little book about a big bunch of nonsense. The story of David and Goliath inspires us to hope that something little, when armed with truth, can topple something big that is a lie. This is the authors hope. While o...
Big Data, Big Design
Big Data Big Design defines and explores what every designer needs to know about artificial intelligence (AI) and machine learning (ML), all the while inspiring designers to harness this technology and establish leadership via thoughtful, human-ce...
Big Data, Open Data and Data Development
The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data are available to everyone, anywhere on the plane...
Big Data Analytics
A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book • This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. • Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. • Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is
Humanizing Big Data
Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations n...
Big Data Analytics
Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Bi...
Thick Big Data
The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional so...
Big Data Marketing
Leverage big data insights to improve customer experiences and insure business success Many of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a ...
Big Data Analytics
With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also sur...
Big Data Imperatives
Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active fo...