Tabla de Contenidos: “…-- Working with time series -- Adding labels to data points -- Aggregation framework -- Compaction rules for Time Series -- Summary -- Chapter 8: Understanding Probabilistic Data Structures -- Technical requirements -- HyperLogLog -- Bloom filter -- Cuckoo filters -- Count-Min sketch -- Top-K -- t-digest -- Summary -- Part 3: From Development to Production -- Chapter 9: The Programmability of Redis Stack -- Technical requirements -- The single-threaded architecture -- Programming complex business logic with Redis Stack -- Lua scripting -- Redis functions -- Triggers and functions -- Anatomy of a function -- Working with data -- Batch processing -- Asynchronous functions -- Cluster awareness -- Keyspace triggers -- Stream triggers -- Comparing Lua scripts, Lua functions, and JavaScript functions -- Summary -- Chapter 10: RedisInsight - the Data Management GUI -- Technical requirements -- Connecting to the Redis Stack database -- Browsing keys -- Interacting with data -- Analyzing data -- Troubleshooting PubSub channels -- Summary -- Chapter 11: Using Redis Stack as a Primary Database -- Technical requirements -- What is a primary database? …”

Tabla de Contenidos: “…Protocol Hierarchy Statistics -- Name Resolution -- Enabling Name Resolution -- Potential Drawbacks to Name Resolution -- Protocol Dissection -- Changing the Dissector -- Viewing Dissector Source Code -- Following TCP Streams -- Packet Lengths -- Graphing -- Viewing IO Graphs -- Round-Trip Time Graphing -- Flow Graphing -- Expert Information -- 6: Common Lower-Layer Protocols -- Address Resolution Protocol -- The ARP Header -- Packet 1: ARP Request -- Packet 2: ARP Response -- Gratuitous ARP -- Internet Protocol -- IP Addresses -- The IPv4 Header -- Time to Live -- IP Fragmentation -- Transmission Control Protocol -- The TCP Header -- TCP Ports -- The TCP Three-Way Handshake -- TCP Teardown -- TCP Resets -- User Datagram Protocol -- The UDP Header -- Internet Control Message Protocol -- The ICMP Header -- ICMP Types and Messages -- Echo Requests and Responses -- Traceroute -- 7: Common Upper-Layer Protocols -- Dynamic Host Configuration Protocol -- The DHCP Packet Structure -- The DHCP Renewal Process -- DHCP In-Lease Renewal -- DHCP Options and Message Types -- Domain Name System -- The DNS Packet Structure -- A Simple DNS Query -- DNS Question Types -- DNS Recursion -- DNS Zone Transfers -- Hypertext Transfer Protocol -- Browsing with HTTP -- Posting Data with HTTP -- Final Thoughts -- 8: Basic Real-World Scenarios -- Social Networking at the Packet Level -- Capturing Twitter Traffic -- Capturing Facebook Traffic -- Comparing Twitter vs. …”

Tabla de Contenidos: “…Gama: Trends in Data Stream Mining -- L. A. García-Escudero, A. Mayo-Iscar, G. …”

Tabla de Contenidos: “…-- Using the async/await syntax -- Understanding tasks -- Task groups -- Asynchronous streams -- Actors -- MainActor -- Bridging old GCD and structured concurrency -- Summary -- Chapter 14: An Introduction to SwiftData -- Technical requirements -- Understanding the differences between SwiftData and Core Data -- SwiftData and SwiftUI -- Exploring changes in the binding mechanisms -- Creating a data model -- Understanding relationships in SwiftData -- One-to-one relationships -- One-to-many relationships -- Many-to-one relationships -- Many-to-many relationships -- Cascading deletion rules -- Fetching data -- Filtering data with predicates -- Summary -- Chapter 15: Consuming REST Services in SwiftUI -- Technical requirements -- An overview of REST -- Ports -- Understanding REST requests in Swift -- Codable, Encodable, and Decodable protocols -- Using URLSession -- Implementing HTTP methods -- Setting headers -- Handling errors -- URLProtocol -- Summary…”

Tabla de Contenidos: “…-- Program structure -- Console application -- Building a forms application -- The Object Pascal language phrasebook -- Tokens -- Constants -- Types -- Inline variables declaration -- Sets and arrays -- Helpers -- Generics -- Anonymous code -- Operator overloading -- Runtime type information -- Custom attributes -- Summary -- Chapter 3: Packing Up Your Toolbox -- Technical requirements -- Working with files and streams -- Working with JSON -- Writing JSON -- Reading JSON -- Using the JSON wizard in Delphi 12 -- Working with XML -- Summary -- Chapter 4: Using the Parallel Programming Library -- Technical requirements -- Using threads -- Access synchronization -- Calling Synchronize -- Atomic operations -- Using a critical section -- Using TMonitor -- Exploring the Parallel Programming Library -- Parallel loops -- Using tasks -- The beauty of futures -- Summary -- Part 2: Going Mobile -- Chapter 5: Playing with FireMonkey -- Technical requirements -- Drawing in code -- Get moving with timers -- Precise timing -- The power of parenting -- Shapes -- Animations -- Touching the screen -- Touch -- Gestures -- Multi-touch -- Game of Memory -- Designing the game -- Working with images -- Designing the user interface -- Aligning, anchoring, and margins -- Layouts -- Building the main form of the game -- Storing the game's configuration…”

Tabla de Contenidos: “…CPU and memory requirements -- Disk requirements -- Analyze Index Disk Usage API -- ML node capacity -- Storage efficiency strategies -- Reducing dimensionality -- Quantization -- Excluding dense_vector from _source -- Summary -- Chapter 4: Performance Tuning - Working with Data -- Deploying an NLP model -- Loading a model into Elasticsearch -- Model deployment configurations -- Load testing -- Rally -- RAM estimation -- Troubleshooting slowdown -- Summary -- Part 3: Specialized Use Cases -- Chapter 5: Image Search -- Overview of image search -- The evolution of image search -- The mechanism behind image search -- The role of vector similarity search -- Image search in practice -- Vector search with images -- Image vectorization -- Indexing image vectors in Elasticsearch -- k-Nearest Neighbor (kNN) search -- Challenges and limitations with image search -- Multi-modal models for vector search -- Introduction and rationale -- Understanding the concept of vector space in multi-modal models -- Introduction to the OpenAI clip-ViT-B-32-multilingual-v1 model -- Implementing vector search for diverse media types -- Summary -- Chapter 6: Redacting Personal Identifiable Information Using Elasticsearch -- Overview of PII and redaction -- Types of data that may contain PII -- Risks of storing PII in logs -- How PII is leaked or lost -- Redacting PII with NER models and regex patterns -- NER models -- Regex patterns -- Combining NER models and regex (or grok) patterns for PII redaction -- PII redaction pipeline in Elasticsearch -- Generating synthetic PII -- Installing the default pipeline -- Expected results -- Expanding and customizing options for the PII redaction pipeline in Elasticsearch -- Customizing the default PII example -- Cloning the pipeline to create different versions for different data streams -- Fine-tuning NER models for particular datasets…”

Tabla de Contenidos: “…Skills and capacities -- Leadership -- Employees -- Policy and implementation challenges -- Balancing adaptive innovation and stability/resilience -- Adaptive innovation as a core practice -- Open questions -- Multifaceted approaches and research streams -- Drivers in the public sector -- Support structures -- Tools and methods -- References -- Notes -- 7 Mission-oriented innovation -- General description -- The challenge -- The approach -- Main drivers -- Enabling factors -- Institutional entrepreneurship and mission governance -- Funding missions -- Procurement -- Tools and methods -- New ways of working and knowing -- Portfolio approach to funding -- New approaches to appraisal and evaluation -- Skills and capabilities -- Policy and public service challenges -- Open questions -- Research questions -- Policy questions -- References -- Notes -- 8 Anticipatory innovation -- General description -- The challenge -- The approach -- Definitions in the literature -- Limitations of forecasting and prediction -- Strategic foresight and the discipline of anticipation -- Adaptation vs. anticipation -- Main drivers in the public sector -- Responding to novel societal and technological developments -- Decision-making and planning in conditions of unpredictable uncertainty -- Making sense of complex policy problems -- The cost of doing nothing in the face of rapid change -- Enabling factors -- Foresight ecosystems -- Governance using anticipatory innovation -- Working methods -- Tools and methods -- Forecasting and horizon scanning -- Signals -- Weak signals -- Web content analysis and text mining -- Delphi -- Real-time data monitoring and predictive analytics -- Thick data -- MCDA -- Visioning -- Running anticipatory innovation -- Framing -- Scenarios -- Megatrends -- Causal layered analysis -- Acting -- Stress-testing and wind-tunnelling -- Prototyping…”

Tabla de Contenidos: “…7.6.2 Automating Kubernetes manifests validation with GitHub Actions -- Summary -- Part 3 Cloud native distributed systems -- 8 Reactive Spring: Resilience and scalability -- 8.1 Asynchronous and non-blocking architectures with Reactor and Spring -- 8.1.1 From thread-per-request to event loop -- 8.1.2 Project Reactor: Reactive streams with Mono and Flux -- 8.1.3 Understanding the Spring reactive stack -- 8.2 Reactive servers with Spring WebFlux and Spring Data R2DBC -- 8.2.1 Bootstrapping a reactive application with Spring Boot -- 8.2.2 Persisting data reactively with Spring Data R2DBC -- 8.2.3 Implementing the business logic with reactive streams -- 8.2.4 Exposing a REST API with Spring WebFlux -- 8.3 Reactive clients with Spring WebClient -- 8.3.1 Service-to-service communication in Spring -- 8.3.2 Understanding how to exchange data -- 8.3.3 Implementing REST clients with WebClient -- 8.4 Resilient applications with Reactive Spring -- 8.4.1 Timeouts -- 8.4.2 Retries -- 8.4.3 Fallbacks and error handling -- 8.5 Testing reactive applications with Spring, Reactor, and Testcontainers -- 8.5.1 Testing REST clients with a mock web server -- 8.5.2 Testing data persistence with @DataR2dbcTest and Testcontainers -- 8.5.3 Testing REST controllers with @WebFluxTest -- Summary -- 9 API gateway and circuit breakers -- 9.1 Edge servers and Spring Cloud Gateway -- 9.1.1 Bootstrapping an edge server with Spring Cloud Gateway -- 9.1.2 Defining routes and predicates -- 9.1.3 Processing requests and responses through filters -- 9.2 Fault tolerance with Spring Cloud Circuit Breaker and Resilience4J -- 9.2.1 Introducing circuit breakers with Spring Cloud Circuit Breaker -- 9.2.2 Configuring a circuit breaker with Resilience4J -- 9.2.3 Defining fallback REST APIs with Spring WebFlux -- 9.2.4 Combining circuit breakers, retries, and time limiters…”

Tabla de Contenidos: “…3.3.4 Accessing metadata at runtime -- Summary -- 4 Working with Spring Data JPA -- 4.1 Introducing Spring Data JPA -- 4.2 Starting a new Spring Data JPA project -- 4.3 First steps for configuring a Spring Data JPA project -- 4.4 Defining query methods with Spring Data JPA -- 4.5 Limiting query results, sorting, and paging -- 4.6 Streaming results -- 4.7 The @Query annotation -- 4.8 Projections -- 4.9 Modifying queries -- 4.10 Query by Example -- Summary -- Part 2. …”

Tabla de Contenidos: “…4.5.2 Definition of centralized scripts -- 4.5.3 Definition of non-centralized scripts -- 4.5.4 Combination of centralized script and VARSUB, JOBREC parameters -- 4.5.5 Definition of FTW jobs and job streams in the controller -- 4.6 Verification test of end-to-end scheduling -- 4.6.1 Verification of job with centralized script definitions -- 4.6.2 Verification of job with non-centralized scripts -- 4.6.3 Verification of centralized script with JOBREC parameters -- 4.7 Activate support for the Tivoli Workload Scheduler Job Scheduling Console -- 4.7.1 Install and start Tivoli Workload Scheduler for z/OS JSC server -- 4.7.2 Installing and configuring Tivoli Management Framework 4.1 -- 4.7.3 Alternate method using Tivoli Management Framework 3.7.1 -- 4.7.4 Creating connector instances -- 4.7.5 Creating WTMF administrators for Tivoli Workload Scheduler -- 4.7.6 Installing the Job Scheduling Console -- Chapter 5. …”

Tabla de Contenidos: “…5.2 Overview of Global Precipitation Products and Data Services -- 5.2.1 TRMM Background -- 5.2.2 TRMM Products -- 5.2.3 TRMM Data Services -- 5.2.4 Global Precipitation Measurement Mission -- 5.3 Big Data Challenges and Solutions -- 5.3.1 Big Data Challenges -- 5.3.2 Solutions -- 5.4 A Prototype -- 5.4.1 Data -- 5.4.2 System Description -- 5.4.3 Examples -- 5.5 Conclusions -- Acknowledgment -- References -- Chapter 6: Algorithmic Design Considerations for Geospatial and/or Temporal Big Data -- 6.1 Motivation -- 6.1.1 Challenges -- 6.1.1.1 Algorithmic Time Complexity -- 6.1.1.2 Algorithmic Space Complexity -- 6.2 Geospatial Big Data Algorithms: The State of the Art -- 6.2.1 Volume Algorithms -- 6.2.2 Velocity Algorithms -- 6.2.3 Variety Algorithms -- 6.3 Analysis of Classical Geospatial and Temporal Algorithms -- 6.4 Approaches to Algorithmic Adaptation for Geospatial Big Data -- 6.4.1 Divide and Conquer -- 6.4.2 Subsampling -- 6.4.3 Aggregation -- 6.4.4 Filtering -- 6.4.5 Online Algorithms -- 6.4.6 Streaming Algorithms -- 6.4.7 Iterative Algorithms -- 6.4.8 Relaxation -- 6.4.9 Convergent Algorithms -- 6.4.10 Stochastic Algorithms -- 6.4.11 Batch versus Online Algorithms -- 6.4.12 Dimensionality Reduction -- 6.4.13 Example -- 6.5 Open Challenges -- 6.6 Summary -- References -- Chapter 7: Machine Learning on Geospatial Big Data -- 7.1 Motivation -- 7.1.1 Supervised, Unsupervised, and Feature Learning -- 7.1.1.1 Supervised Learning -- 7.1.1.2 Unsupervised Learning -- 7.1.1.3 Feature Learning -- 7.1.2 Big Data Challenges -- 7.1.3 Three Vs -- 7.1.3.1 Volume -- 7.1.3.2 Velocity -- 7.1.3.3 Variety -- 7.2 Geospatial Big Data Feature Learning -- 7.2.1 Approaches to Big Data Feature Learning -- 7.3 Reducing Dimensionality of Geospatial Big Data, Making Machine Learning Tractable -- 7.3.1 Feature Construction -- 7.3.1.1 Windowing in Raster Data…”

Tabla de Contenidos: “…Kryder's Law -- Moore's Law -- The Smartphone Revolution -- The Democratization of Data -- The Primacy of Privacy -- The Internet of Things -- The Rise of the Data-Savvy Employee -- The Burgeoning Importance of Data Analytics -- A Watershed Moment -- Common Ground -- The Data Business Is Alive and Well and Flourishing -- Not Just the Big Five -- Data-Related Challenges -- Companies Left Behind -- The Growth of Analytics Programs -- Next -- Notes -- Chapter 2: The Fundamentals of Contemporary Data: A Primer on What It Is, Why It Matters, and How to Get It -- Types of Data -- Structured -- Semistructured -- Unstructured -- Metadata -- Getting the Data -- Generating Data -- Buying Data -- Data in Motion -- Next -- Notes -- Chapter 3: The Fundamentals of Analytics: Peeling Back the Onion -- Defining Analytics -- Reporting ≠ Analytics -- Types of Analytics -- Descriptive Analytics -- Predictive Analytics -- Prescriptive Analytics -- Streaming Data Revisited…”

Tabla de Contenidos: “…Calling a function -- Passing a variable number of arguments -- Calling a function with a default parameter value -- Calling a function while passing named arguments -- Function literals -- Evaluation strategies -- Call by name -- Call by value -- Partial functions -- Summary -- Chapter 5: Getting Familiar with Scala Collections -- Motivation -- Immutable and mutable collections -- Differences between the root and immutable collections -- Hierarchy of collections in Scala -- Traversable -- Iterable -- Seq -- Sequences -- Map -- Set -- Commonly used collections in Scala -- List -- Map -- SortedSet -- Streams -- Vector -- Immutable stack -- Immutable queue -- Ranges -- ArrayBuffer -- ListBuffer -- StringBuilder -- Array -- Rich operations performed on collections -- Parallel collections in Scala -- ParArray -- ParVector -- Converting a Java collection into a Scala collection -- Choosing a collection -- Collection performance -- Summary -- Chapter 6: Object-Oriented Scala Basics -- Classes -- Abstract classes -- Abstract classes and traits -- The final classes -- Objects as singletons -- Companion objects -- Case classes -- Summary -- Chapter 7: Next Steps in Object-Oriented Scala -- Composition and inheritance -- Class inheritance -- Extending classes -- Subtyping versus subclassing -- Overriding data and behavior -- Restricting inheritance - final keyword -- Dynamic binding in function invocation -- Misusing inheritance -- Default and parameterized constructors -- Traits -- Traits as mix-ins -- Traits as composable mix-ins -- Traits as stackable modifications -- Linearization -- Packaging and importing -- Package statements -- Multiple package statements in a file -- Nested package statements -- Chaining package statements -- Importing packages -- Visibility rules -- Sealed traits -- Summary -- Chapter 8: More on Functions -- Function literals…”

Tabla de Contenidos: “…-- Team's Health -- Velocity -- Architectural Soundness -- Quality Issues -- Maturity of Processes -- Regulation and Compliance -- Hiring and Turnover -- Reputation -- Innovation -- Forming a Plan -- Your Personal Upgrade -- Chapter 4: Moving Upstream -- With Great Responsibility Comes Great Power -- Your Location down the Decision Stream -- Manifestations of Leadership -- Forming Strategy -- Compiling Roadmaps -- Cultivating Culture -- Short-Circuiting Silo Thinking -- Leading Risk Management -- Motivating -- Claiming Your Seat Around the Table -- Own It and Say So -- Get to the Meetings -- Speak Up -- Speak Business -- Get Allies -- Don't Accept Tasks -- Get a Coach -- Your Personal Upgrade -- Chapter 5: Your Executive Toolset -- Tailoring Your Approach -- Executive Mindset -- Don't Shy Away -- Letting Go -- Take the Lead -- Tactics -- Controlling Your Time -- Time to Lead -- Leadership Blocks -- The Calendar Reset -- Getting Assistance -- A Typical Week -- Managing Your Manager -- Results -- Business Talk -- Don't Go Incommunicado -- Speak Your Mind -- Enabling Autonomy -- Default Responses -- Guidelines -- Delegation -- "They Can't Do This Yet" -- Coaching vs. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Acknowledgments -- About the Authors -- About the Technical Editor -- Contents at a Glance -- Contents -- Introduction -- The AWS Certified Machine Learning Specialty Exam -- Who Should Buy This Book -- Study Guide Features -- AWS Certified Machine Learning Specialty Exam Objectives -- Assessment Test -- Answers to Assessment Test -- Part I Introduction -- Chapter 1 AWS AI ML Stack -- Amazon Rekognition -- Image and Video Operations -- Amazon Textract -- Sync and Async APIs -- Amazon Transcribe -- Transcribe Features -- Transcribe Medical -- Amazon Translate -- Amazon Translate Features -- Amazon Polly -- Amazon Lex -- Lex Concepts -- Amazon Kendra -- How Kendra Works -- Amazon Personalize -- Amazon Forecast -- Forecasting Metrics -- Amazon Comprehend -- Amazon CodeGuru -- Amazon Augmented AI -- Amazon SageMaker -- Analyzing and Preprocessing Data -- Training -- Model Inference -- AWS Machine Learning Devices -- Summary -- Exam Essentials -- Review Questions -- Chapter 2 Supporting Services from the AWS Stack -- Storage -- Amazon S3 -- Amazon EFS -- Amazon FSx for Lustre -- Data Versioning -- Amazon VPC -- AWS Lambda -- AWS Step Functions -- AWS RoboMaker -- Summary -- Exam Essentials -- Review Questions -- Part II Phases of Machine Learning Workloads -- Chapter 3 Business Understanding -- Phases of ML Workloads -- Business Problem Identification -- Summary -- Exam Essentials -- Review Questions -- Chapter 4 Framing a Machine Learning Problem -- ML Problem Framing -- Recommended Practices -- Summary -- Exam Essentials -- Review Questions -- Chapter 5 Data Collection -- Basic Data Concepts -- Data Repositories -- Data Migration to AWS -- Batch Data Collection -- Streaming Data Collection -- Summary -- Exam Essentials -- Review Questions -- Chapter 6 Data Preparation -- Data Preparation Tools…”

Tabla de Contenidos: “…-- Creating an RPC server -- Creating an RPC client -- JSON RPC using Gorilla RPC -- Summary -- Chapter 4: Simplifying RESTful Services with Popular Go Frameworks -- Getting the code -- go-restful, a framework for REST API creation -- CRUD operations and SQLite3 basics -- Building a Metro Rail API with go-restful -- Design specification -- Creating database models -- Building RESTful APIs with the Gin framework -- Building a RESTful API with Revel.go -- Summary -- Chapter 5: Working with MongoDB and Go to Create REST APIs -- Getting the code -- Introduction to MongoDB -- Installing MongoDB and using the shell -- Working with the Mongo shell -- Introducing mgo, a MongoDB driver for Go -- RESTful API with Gorilla Mux and MongoDB -- Boosting the querying performance with indexing -- Designing an e-commerce data document model -- Summary -- Chapter 6: Working with Protocol Buffers and GRPC -- Getting the code -- Introduction to protocol buffers -- Protocol buffer language -- Scalar values -- Enumerations and repeated fields -- Compiling a protocol buffer with protoc -- Introduction to GRPC -- Bidirectional streaming with GRPC -- Summary -- Chapter 7: Working with PostgreSQL, JSON, and Go -- Getting the code -- Installing the PostgreSQL database -- Adding users and databases in PostgreSQL -- pq, a pure PostgreSQL database driver for Go -- Implementing a URL shortening service using Postgres and pq -- Defining the Base62 algorithm -- Exploring the JSON store in PostgreSQL -- GORM, a powerful ORM for Go -- Implementing the e-commerce REST API -- Summary…”

Tabla de Contenidos: “…Android N JIT compiler -- Memory leak -- Memory churn -- References -- Memory-side projects -- Project Svelte and Android N -- Best practices -- Data types -- Autoboxing -- Sparse array family -- ArrayMap -- Syntax -- Collections -- Enumerations -- Constants -- Object management -- Strings -- String concatenation -- Local variables -- Arrays versus collections -- Streams -- Memory patterns -- The object pool pattern -- The FlyWeight pattern -- Android component leaks -- Activities -- Services -- Processes -- The memory API -- Main components and memory management -- Debugging tools -- LogCat -- Dalvik -- ART -- The ActivityManager API -- StrictMode -- Dumpsys -- Meminfo -- ProcStats -- Summary -- Chapter 5: Multithreading -- Walkthrough -- Threading basics -- Multicore CPUs -- Threads -- Multithreaded applications -- Thread safety -- Android multithreading environment -- Processes -- Android application thread -- The UI thread -- Worker threads -- The binder thread -- Android thread messaging -- Best practices -- Threads -- HandlerThread -- When to use -- AsyncTask -- Methods -- Generics parameters -- States management -- Executor -- When to use -- Loaders -- LoaderManager -- LoaderCallbacks&lt -- D&gt -- -- Provided loaders -- When to use -- Services -- Life cycle -- Started Service -- Bound Service -- IntentService -- Inter-process communication -- Remote Procedure Call -- AIDL -- Messenger -- Advanced techniques -- BroadcastReceiver asynchronous techniques -- ContentProvider asynchronous techniques -- Repeating tasks -- Debugging tools -- StrictMode -- Summary -- Chapter 6: Networking -- Walkthrough -- Protocols -- Methods -- Headers -- Timeout -- Content -- Compression -- Response code -- Connection types -- Best practices -- Latency gauging -- Batching connections -- Prefetching -- Queuing connections -- Caching responses -- Cache control…”

Tabla de Contenidos: “…Chapter 7: SAS® Software Engineers the Processing Environment for You -- Architecture -- The SAS platform -- Service-Oriented Architecture and microservices -- Differences between SOA and microservices -- SAS server versus a SAS grid -- In-database processing -- In-database procedures -- Additonal in-database processing SAS offerings -- SAS Scoring Accelerator -- SAS Code Accelerator -- In-memory processing -- SAS High-Performance Analytics Server -- SAS LASR Analytics Server -- SAS Cloud Analytics Server -- Dedicated hardware for in-memory processing -- Open platform and open source -- Running SAS from an iPython Jupyter Notebook -- SAS running in a cloud -- A public cloud -- A private cloud -- A hybrid cloud -- Running SAS processing outside the SAS platform -- The SAS Embedded Process -- The SAS Event Stream Processing engine -- SAS Viya the newest part of the SAS platform -- SAS Viya programming -- SAS Viya-based solutions -- Summary -- Chapter 8: Why SAS Programmers Love SAS -- Why SAS programmers love SAS -- Examples of why SAS programmers love SAS -- Additional coding examples -- The COMPARE procedure -- The OPTIONS procedure -- Analytics is a great career -- Analytics Center of Excellence -- The executive sponsor -- The data scientist -- The data manager -- The business analyst -- The ACE leader -- Where should an ACE be located? …”

Tabla de Contenidos: “…. -- Hashing files and data streams -- Getting started -- How to do it... -- How it works... -- Keeping track with a progress bar -- Getting started -- How it works... -- There's more... -- Logging results -- Getting started -- How to do it... -- How it works... -- There's more... -- Multiple hands make light work -- Getting started -- How to do it... -- How it works... -- There's more... -- Chapter 2: Creating Artifact Report Recipes -- Introduction -- Using HTML templates -- Getting started -- How to do it... -- How it works... -- There's more... -- Creating a paper trail -- Getting started -- How to do it... -- How it works... -- There's more... -- Working with CSVs -- Getting started -- How to do it... -- How it works... -- There's more... -- Visualizing events with Excel -- Getting started -- How to do it... -- How it works... -- Auditing your work -- Getting started -- How to do it... -- How it works... -- There's more... -- Chapter 3: A Deep Dive into Mobile Forensic Recipes -- Introduction -- Parsing PLIST files -- Getting started -- How to do it... -- How it works... -- There's more... -- Handling SQLite databases -- Getting started -- How to do it... -- How it works... -- Identifying gaps in SQLite databases…”

Tabla de Contenidos: “…-- Overhead Staff Layers -- Executive Request -- Value Stream Managers in the Lean Organization -- Roles and Responsibilities Matrix -- Lean Implementation Cycle -- Communication, Communication, and More Communication -- Board of Directors Training -- Leaders Should Empower Their Team -- Focusing on True North -- Seeing Is Knowing -- What Questions Can You Ask When Doing a Gemba Walk? …”