Design, process, and analyze large sets of complex data in real timeKey Features[*]Get acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm[*]Implement strategies to solve the challenges of real-time data processing[*]Load datasets, build queries, and make recommendations using Spark SQLBook DescriptionEnterprise has been striving hard to deal with the challenges of data arriving in real time or near real time.
Harness the power of multiple computers using Python through this fast-paced informative guideKey Features[*] You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant[*] Make use of Amazon Web Services along with Python to establish a powerful remote computation system[*] Train Python to handle data-intensive and resource hungry applicationsBook DescriptionCPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today.
Learn to build powerful machine learning models quickly and deploy large-scale predictive applicationsKey Features[*]Design, engineer and deploy scalable machine learning solutions with the power of Python[*]Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework[*]Build state-of-the-art models and develop personalized recommendations to perform machine learning at scaleBook DescriptionLarge Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle.
Over 40 practical recipes to get your hands dirty with the powerful Cisco UCS and overcome various challengesKey Features[*] Master the skills of minimizing cost, enabling your business to work faster by reducing cycle times for reporting and improving overall revenue[*] Work through hands-on recipes for efficient deployment approaches, see computing techniques, and explore new operational models with UCS[*] Render a better work-flow management, ensure effective monitoring, and learn new deployment paradigms for the operational infrastructure with the help of this bookBook DescriptionCisco Unified Computing System (UCS) is a data center server platform that is used for computing, deploying, and storing resources in data center environments.
Design, process, and analyze large sets of complex data in real timeKey Features[*]Get acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm[*]Implement strategies to solve the challenges of real-time data processing[*]Load datasets, build queries, and make recommendations using Spark SQLBook DescriptionEnterprise has been striving hard to deal with the challenges of data arriving in real time or near real time.
Over 100 effective recipes to help you design, implement, and manage the software-defined and massively scalable Ceph storage systemKey Features[*]Implement a Ceph cluster successfully and gain deep insights into its best practices[*]Harness the abilities of experienced storage administrators and architects, and run your own software-defined storage system[*]This comprehensive, step-by-step guide will show you how to build and manage Ceph storage in production environmentBook DescriptionCeph is a unified, distributed storage system designed for excellent performance, reliability, and scalability.
Master identity solutions and strategies and prepare to achieve Microsoft Identity and Access Administrator SC-300 certificationPurchase of this book unlocks access to web-based exam prep resources such as mock exams, flashcards, and exam tipsKey FeaturesGain invaluable insights into SC-300 certification content from industry expertsStrengthen your foundations and master all crucial concepts required for exam successRigorous mock exams reflect the real exam environment, boosting your confidence and readinessPurchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tipsBook DescriptionSC-300 exam content has undergone significant changes, and this second edition aligns with the revised exam objectives.
Key FeaturesBook DescriptionJulia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second.
Over 40 practical recipes to get your hands dirty with the powerful Cisco UCS and overcome various challengesKey Features[*] Master the skills of minimizing cost, enabling your business to work faster by reducing cycle times for reporting and improving overall revenue[*] Work through hands-on recipes for efficient deployment approaches, see computing techniques, and explore new operational models with UCS[*] Render a better work-flow management, ensure effective monitoring, and learn new deployment paradigms for the operational infrastructure with the help of this bookBook DescriptionCisco Unified Computing System (UCS) is a data center server platform that is used for computing, deploying, and storing resources in data center environments.
Learn to build powerful machine learning models quickly and deploy large-scale predictive applicationsKey Features[*]Design, engineer and deploy scalable machine learning solutions with the power of Python[*]Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework[*]Build state-of-the-art models and develop personalized recommendations to perform machine learning at scaleBook DescriptionLarge Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle.
Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or fault-tolerance.
Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or fault-tolerance.
Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge.
Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms.
Fast Solvers for Mesh-Based Computations presents an alternative way of constructing multi-frontal direct solver algorithms for mesh-based computations.
While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution.
While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution.
