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Scalable Big Data Architecture
  • Language: en
  • Pages: 147

Scalable Big Data Architecture

  • Type: Book
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  • Published: 2015-12-31
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  • Publisher: Apress

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution. W...

Machine Learning with the Elastic Stack
  • Language: en
  • Pages: 450

Machine Learning with the Elastic Stack

Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights from your data Key FeaturesIntegrate machine learning with distributed search and analyticsPreprocess and analyze large volumes of search data effortlesslyOperationalize machine learning in a scalable, production-worthy wayBook Description Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated second edition of Machine Learning wit...

Vector Search for Practitioners with Elastic
  • Language: en
  • Pages: 240

Vector Search for Practitioners with Elastic

"This book delves into the practical applications of vector search in Elastic and embodies a broader philosophy. It underscores the importance of search in the age of Generative Al and Large Language Models. This narrative goes beyond the 'how' to address the 'why' - highlighting our belief in the transformative power of search and our dedication to pushing boundaries to meet and exceed customer expectations." Shay Banon Founder & CTO at Elastic Key Features Install, configure, and optimize the ChatGPT-Elasticsearch plugin with a focus on vector data Learn how to load transformer models, generate vectors, and implement vector search with Elastic Develop a practical understanding of vector se...

Learning Kibana 5.0
  • Language: en
  • Pages: 275

Learning Kibana 5.0

Exploit the visualization capabilities of Kibana and build powerful interactive dashboards About This Book Introduction to data-driven architecture and the Elastic stack Build effective dashboards for data visualization and explore datasets with Elastic Graph A comprehensive guide to learning scalable data visualization techniques in Kibana Who This Book Is For If you are a developer, data visualization engineer, or data scientist who wants to get the best of data visualization at scale then this book is perfect for you. A basic understanding of Elasticsearch and Logstash is required to make the best use of this book. What You Will Learn How to create visualizations in Kibana Ingest log data...

Machine Learning with the Elastic Stack
  • Language: en
  • Pages: 299

Machine Learning with the Elastic Stack

Leverage Elastic Stack’s machine learning features to gain valuable insight from your data Key FeaturesCombine machine learning with the analytic capabilities of Elastic StackAnalyze large volumes of search data and gain actionable insight from themUse external analytical tools with your Elastic Stack to improve its performanceBook Description Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data. As you pro...

Learning Kibana 7
  • Language: en
  • Pages: 280

Learning Kibana 7

  • Type: Book
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  • Published: 2019-07-19
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  • Publisher: Unknown

None

Elastic Stack 8.x Cookbook
  • Language: en
  • Pages: 688

Elastic Stack 8.x Cookbook

Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments Key Features Explore the diverse capabilities of the Elastic Stack through a comprehensive set of recipes Build search applications, analyze your data, and observe cloud-native applications Harness powerful machine learning and AI features to create data science and search applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLearn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and ...

Kibana 8.x – A Quick Start Guide to Data Analysis
  • Language: en
  • Pages: 199

Kibana 8.x – A Quick Start Guide to Data Analysis

Uncover valuable business insights by leveraging the power of Kibana to navigate and interpret datasets for improved decision making Key Features Gain profound understanding of the end-to-end workings of Kibana Explore the powerful administration features in Kibana 8.x for managing and supporting data ingestion pipelines Build your own analytics and visualization solution from scratch Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnleash the full potential of Kibana—an indispensable tool for data analysts to seamlessly explore vast datasets, uncover key insights, identify trends and anomalies, and share results. This book guides you through its user-friendl...

Distributed Machine Learning with Python
  • Language: en
  • Pages: 284

Distributed Machine Learning with Python

Build and deploy an efficient data processing pipeline for machine learning model training in an elastic, in-parallel model training or multi-tenant cluster and cloud Key FeaturesAccelerate model training and interference with order-of-magnitude time reductionLearn state-of-the-art parallel schemes for both model training and servingA detailed study of bottlenecks at distributed model training and serving stagesBook Description Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With t...

Talend for Big Data
  • Language: en

Talend for Big Data

  • Type: Book
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  • Published: 2014-02
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  • Publisher: Unknown

This book is written in a concise and easy-to-understand manner, and acts as a comprehensive guide on data analytics and integration with Talend big data processing jobs. If you are a chief information officer, enterprise architect, data architect, data scientist, software developer, software engineer, or a data analyst who is familiar with data processing projects and who wants to use Talend to get your first big data job executed in a reliable, quick, and graphical way, then Talend for Big Data is perfect for you.