“…By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.What you will learn* Explore the necessary considerations for data ingestion and orchestration while building analytical pipelines* Understand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflows* Query data using various coding languages on Azure Synapse* Focus on Synapse SQL and Synapse Spark* Manage and monitor resource utilization and query activity in Azure Synapse* Connect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse Studio* Create and manage IP firewall rules in Azure SynapseWho this book is forThis book is for data architects, data scientists, data engineers, and business analysts who are looking to get up and running with the Azure Synapse Analytics platform. …”

“…What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. …”

“…What you will learn Understand how to design and manage complex Python projects Strategize test-driven development (TDD) in Python Explore multithreading and multiprogramming in Python Use Python for data processing with Apache Spark and Google Cloud Platform (GCP) Deploy serverless programs on public clouds such as GCP Use Python to build web applications and application programming interfaces Apply Python for network automation and serverless functions Get to grips with Python for data analysis and machine learning Who this book is for This book is for intermediate-level Python developers in any field who are looking to build their skills to develop and manage large-scale complex projects. …”

“…Highlights include: Deep dive tutorials from big data's most experienced practitioners, including Karthik Ramasamy (Streamlio) on how to build an end-to-end data processing pipeline; Vartika Singh (Cloudera) on how to leverage Spark and deep learning frameworks to understand data at scale; and Joshua Poduska (Domino Data Lab) on how to design and run data science organizations that have a sustained, scalable, and predictable impact on business outcomes. …”

“…What You Will Learn Transform and filter tabular data to extract features for machine learning Implement your own algorithms or take advantage of MLLib's extensive suite of models to build distributed machine learning pipelines Read, transform, and write data to both SQL and NoSQL databases in a functional manner Write robust routines to query web APIs Read data from web APIs such as the GitHub or Twitter API Use Scala to interact with MongoDB, which offers high performance and helps to store large data sets with uncertain query requirements Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations Deploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive In Detail Scala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and scripting language used to build applications for the JVM. …”

“…As we grow into adults, our curiosity gradually takes a back seat to obligations, responsibility, and duty—but that spark remains, and can be reignited. Don't spend your life adrift in a sea of 'could've, would've, should've'—take back your sense of purpose, positivity, joy, time, and energy with the power of Happy Accidents …”

“…You'll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts. …”

“…What you will learn Understand the important concepts in machine learning and data science Use Python to explore the world of data mining and analytics Scale up model training using varied data complexities with Apache Spark Delve deep into text and NLP using Python libraries such NLTK and gensim Select and build an ML model and evaluate and optimize its performance Implement ML algorithms from scratch in Python, TensorFlow, and scikit-learn Who this book is for If you're a machine learning aspirant, data analyst, or data engineer highly passionate about machine learning and want to begin working on ML assignments, this book is for you. …”

“…When you have completed this course, you will know enough Scala to effectively use Scala frameworks such as Play or Apache Spark. Throughout the course, lab exercises are included in the lessons for hands-on practice. …”

“…The author, who has worked extensively on both sides of the traditional divide, recounts entertainingly but informatively how both sparks and fur can fly when geeks encounter people people…”

“…What you will learn Gain an in-depth understanding of distributed computing using Hadoop 3 Develop enterprise-grade applications using Apache Spark, Flink, and more Build scalable and high-performance Hadoop data pipelines with security, monitoring, and data governance Explore batch data processing patterns and how to model data in Hadoop Master best practices for enterprises using, or planning to use, Hadoop 3 as a data platform Understand security aspects of Hadoop, including authorization and authentication Who this book is for If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. …”

“…What you will learn Install and run the Jupyter Notebook system on your machine Implement programming languages such as R, Python, Julia, and JavaScript with the Jupyter Notebook Use interactive widgets to manipulate and visualize data in real time Start sharing your Notebook with colleagues Invite your colleagues to work with you on the same Notebook Organize your Notebook using Jupyter namespaces Access big data in Jupyter for dealing with large datasets using Spark Who this book is for Learning Jupyter 5 is for developers, data scientists, machine learning users, and anyone working on data analysis or data science projects across different teams. …”

“…Basic knowledge of SQL, Python programming, and Spark is required to get the most out of this book…”

“…With Ignited you’ll get the big ideas that spark as well as the fuel to get you there.” – Brad Simmons, Senior Director Partnership Marketing, Experian “Like a demolition expert, Thompson craftfully implodes America's old school management chain and shines the light on the hero in American business: the Manager. …”

“…This is the only book on Web 2.0 that: Covers Web 2.0 from the perspective of every participant and stakeholder, from consumers to product managers to technical professionals Provides a view of both the underlying technologies and the potential applications to bring you up to speed and spark creative ideas about how to apply Web 2.0 Introduces Web 2.0 business applications that work, as demonstrated by actual Cisco® case studies Offers detailed, expert insights into the technical infrastructure and development practices raised by Web 2.0 Previews tomorrow’s emerging innovations—including “Web 3.0,” the Semantic Web Provides up-to-date references, links, and pointers for exploring Web 2.0 first-hand Krishna Sankar, Distinguished Engineer in the Software Group at Cisco, currently focuses on highly scalable Web architectures and frameworks, social and knowledge graphs, collaborative social networks, and intelligent inferences. …”

“…Plus, the book includes the complete cover-to-cover layout from one of David’s wedding album designs to help spark your creative juices and give you ideas to take your own layouts to the next level. …”

“…Jan Stephenson Kelly , Cofounder/CEO, Spark Craft Studios, Cambridge, MA Business Plan Software Follow Your Dream! …”

“…This forward-thinking book guides you through tomorrow's hottest trends to help you: Make an emotional connection to your customers Create a value-driven company that engages your employees Adjust your business strategy for a flatter, global marketplace Reward individual expression and spark a tribal spirit Identify future trends to build long-term success Jensen and Aaltonen's razor-sharp predictions offer a much-needed headsup--and a major head-start--for your future success. …”

“…Sie erhalten außerdem Hinweise und Tipps, die das Arbeiten mit Tableau merklich erleichtern, und können so zukünftig Ihre eigenen Daten bestmöglich visualisieren und analysieren. »... von einem der Besten lernen.« Sophie Sparkes, Managing Partner, Biztory UK »... eine praktische Anleitung, wie Sie Ihr Unternehmen und Ihre persönliche Arbeit bereichern können.« Nate Vogel, Vice President, Worldwide Sales & Partner Readiness, Tableau Software Aus dem Inhalt: Erste Schritte Datenquellen anlegen Visualisierungen erstellen Aggregationen, Berechnungen und Parameter Tabellenberechnungen und Detailgenauigkeitsausdrücke Mit Karten zu weitreichenden Erkenntnissen Tiefgehende Analysen mit Trends, Prognosen, Cluster und Verteilung Interaktive Dashboards Analysen teilen Daten integrieren und vorbereiten mit Tableau Prep Über den Autor: Alexander Loth kommt aus der datenintensiven Kernforschung und arbeitet seit 2015 für Tableau. …”

“…What You Will Learn Acquire, format and visualize your data using R Using R to perform an Exploratory data analysis Introduction to machine learning algorithms such as classification and regression Get started with social network analysis Generate dynamic reporting with Shiny Get started with geospatial analysis Handling large data with R using Spark and MongoDB Build Recommendation system- Collaborative Filtering, Content based and Hybrid Learn real world dataset examples- Fraud Detection and Image Recognition In Detail Data analytics with R has emerged as a very important focus for organizations of all kinds. …”