Gratiss E-Book

Title : The Evolution of IoT Analytics and Big Data Edition :  Year : 2018 Authors :  Publisher : TechTarget Preface Enterprises are already recognizing the  value that lies in IoT data, but IoT analytics  is still evolving and businesses have yet to  see the full potential of self-service and  AI-powered technologies like machine-learning. Hear from Sisense  co-founder Adi Azaria and Machina Research analyst Emil  Berthelsen about the current state of IoT analytics, BI, and big data  management as well as where it’s all heading next. DOWNLOAD (MEGA)  |  DOWNLOAD (SOLIDFILE)  |  DOWNLOAD (UPTOBOX) Password zip : gratissebook.blogspot.co.id

Title : Learning Docker Edition : 2nd edition Year : 2017 Authors :  Jeeva S. Chelladhurai,  Vinod Singh,  Pethuru Raj Publisher : Packt Preface There are several technical and business advantages associated with Docker. The  longstanding goals of application development, deployment, and delivery automation are  accomplished through Docker-enabled containerization, which is being touted as a crucial  automation method for the tremendous success of the cloud paradigm. Existing workloads  are containerized and cloud-enabled to be stocked in public as well as private repositories.  Both business and IT workloads can be easily pampered, packaged, and presented as  remotely discoverable, usable, portable, and composable containers. Further on, containers  are shipped and run everywhere without any hassle, hitches, and hurdles. The  containerization concept has made IT infrastructures and processes agile and adaptive. T...

Title : Hadoop Explained Edition :  Year : 2014 Authors :  Aravind Shenoy Publisher :  Packt Preface With the almost unfathomable increase in web traffic over recent years, driven by millions  of connected users, businesses are gaining access to massive amounts of complex,  unstructured data from which to gain insight.  When Hadoop was introduced by Yahoo in 2007, it brought with it a paradigm shift in how  this data was stored and analyzed. Hadoop allowed small- and medium-sized companies to  store huge amounts of data on cheap commodity servers in racks. This data could thus be  processed and used to make business decisions that were supported by ‘Big Data’.  Hadoop is now implemented in major organizations such as Amazon, IBM, Cloudera,  and Dell to name a few. This book introduces you to Hadoop and to concepts such as  MapReduce, Rack Awareness, YARN, and HDFS Federation, which will help you get  acqu...

Title : What You Need To Know About R Edition :  Year : 2016 Authors :  Raghav Bali,  Dipanjan Sarkar Publisher :  Packt Preface R is a scripting language that is aimed at performing statistical analysis. It draws  inspiration from S, a statistical programming language that was developed by  AT&T. It also provides a multitude of options, tools, and libraries to make statistical  analysis easy and effective. R has grown over the years as a result of its open source  nature. It is a community-driven language that provides powerful tools for data  processing, manipulation, visualization, and publishing. It continues to evolve with  an ever-increasing list of packages and libraries, along with constant improvements  to the overall language. Statistical analysis was the reason for R's inception and it has grown both in  importance and functionality over the years to become a go-to language. Data  scienti...

Title : Top Ten Big Data Trends for 2017 Edition :  Year : 2017 Authors : Tableau Publisher : Tableau Preface 2016 was a landmark year for big data with more organizations  storing, processing, and extracting value from data of all forms  and sizes. In 2017, systems that support large volumes of both  structured and unstructured data will continue to rise. The  market will demand platforms that help data custodians govern  and secure big data while empowering end users to analyze  that data. These systems will mature to operate well inside of  enterprise IT systems and standards DOWNLOAD (MEGA)  |  DOWNLOAD (SOLIDFILE)  |  DOWNLOAD (UPTOBOX) Password zip : gratissebook.blogspot.co.id

Title : Embedded Analytics for Dummies Edition :  Year : 2017 Authors : Jared Decker Publisher : John Wiley & Sons, Inc. Preface A ccording to the market research firm IDC, the worldwide  big data and analytics market will experience double-digit  growth through 2020. As this trend builds, more and more  organizations are realizing that they must extend high-quality  analytics to broader audiences (both internal and external) and in  more contexts, such as applications, partner portals, and public  and customer websites. To achieve this goal, organizations are  embracing embedded analytics.  Embedded analytics is a specialized application of a long- established field known as data analytics and business intelligence.  As companies require deeper insights into data, integration of  data from disparate sources, and greater access to analytics as  part of a product offering, they need to embed the ...

Title : Bring Your Data to Life Edition :  Year : 2017 Authors : Microsoft Publisher :  Microsoft Preface What if you learned you could create brilliant business insights in five minutes or less? Whit Microsoft Office 365, you can. Everything you need to create rich, compelling stories that perfectly visualise your data is available to you through solutions like Microsoft Excel and Microsoft Power BI. And it's right at your fingertips. Office 365 is always up-to-date, and Power BI is continually upgraded by our community of developers, partners and user - making it better every day. After all, up-to-the-minute data should be as good as possible DOWNLOAD (MEGA)  |  DOWNLOAD (SOLIDFILE)  |  DOWNLOAD (UPTOBOX)   Password zip : gratissbuku.blogspot.co.id

Title : Best Practices for Maximizing the Potential of Mobile BI and Analytics  Edition :  Year : 2017 Authors : David Stodder Publisher :  TDWI Preface   With mobile computing becoming ubiquitous, organizations need  to maximize its potential for business decision making, from the  executive level to operations. Mobile phones and tablets are more than just additional computing platforms; they accompany users  wherever they go, which makes location the context for what they  are trying to accomplish when using the devices. Bringing together applications, services, and native functionality,  mobile devices fuse together communication, computing, data  discovery, multimedia content, and participation in transactions. Mobile computing offers an unusual opportunity for organizations  to innovate with new ways of improving employee productivity,  partner and customer relationships, sales and s...

Title : Achieving Digital Transformation Using IoT and Big Data Edition :  Year : 2017 Authors : Information Builders Publisher :  Information Builders DOWNLOAD (MEGA)  |  DOWNLOAD (SOLIDFILE)  |  DOWNLOAD (UPTOBOX) Password zip : gratissbuku.blogspot.co.id