Fundamentals of Data Observability
Andy Petrella
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Kibana 8.x – A Quick Start Guide to Data Analysis : Learn about data exploration, visualization, and dashboard building with Kibana
Krishna Shah
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Extending Excel with Python and R : Unlock the potential of analytics languages for advanced data manipulation and visualization
Steven Sanderson
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Accelerate Model Training with PyTorch 2.X : Build more accurate models by boosting the model training process
Maicon Melo Alves
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Data Engineering with Google Cloud Platform : A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
Adi Wijaya
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Active Machine Learning with Python : Refine and elevate data quality over quantity with active learning
Margaux Masson-Forsythe
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Learn T-SQL Querying : A guide to developing efficient and elegant T-SQL code
Pedro Lopes
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Supercharge Power BI : Power BI is Better When You Learn To Write DAX
Matt Allington
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Information Architecture : For the Web and Beyond
Louis Rosenfeld
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Information Architecture : For the Web and Beyond
Louis Rosenfeld
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Solution Architecture Foundations
Mark Lovatt
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Kafka in Action
Dylan Scott
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Implementing Operations Management Suite : A Practical Guide to OMS, Azure Site Recovery, and Azure Backup
Peter De Tender
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The Nature of Data : Infrastructures, Environments, Politics
Jenny Goldstein
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Managing Agile : Strategy, Implementation, Organisation and People
Alan Moran
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Data Engineering with Python : Work with massive datasets to design data models and automate data pipelines using Python
Paul Crickard
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Learn Grafana 10.x : A beginner's guide to practical data analytics, interactive dashboards, and observability
Eric Salituro
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Data Engineering with Scala and Spark : Build streaming and batch pipelines that process massive amounts of data using Scala
Eric Tome
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MLOps with Red Hat OpenShift : A cloud-native approach to machine learning operations
Ross Brigoli
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Vector Search for Practitioners with Elastic : A toolkit for building NLP solutions for search, observability, and security using vector search
Bahaaldine Azarmi
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Data Exploration and Preparation with BigQuery : A practical guide to cleaning, transforming, and analyzing data for business insights
Mike Kahn
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