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Data Modeling and Database Design Techniques
1
Comprehensive guide for data-intensive application design.
Navigate scalability, consistency, and reliability challenges.
Explore pros and cons of data storage technologies.
Understand trade-offs in fault tolerance and complexity.
Learn from architectures of major online services.
Apply fundamental principles to modern software engineering.
Make informed decisions on technology choices.
Average Rating out of 5:
Price Range: $46.67
2
Learn data science using R and RStudio.
Master tidyverse for efficient data analysis.
Import, transform, and visualize your data effectively.
Communicate results clearly with integrated prose.
Practice with exercises to reinforce learning.
Updated for latest tidyverse features and best practices.
Gain a comprehensive understanding of data science cycle.
Average Rating out of 5:
Price Range: $49.99
3
Comprehensive overview of data engineering landscape.
Learn to plan and build robust data systems.
Evaluate technologies through the data engineering lifecycle.
Understand data generation, ingestion, and orchestration concepts.
Design architecture using best practices and frameworks.
Incorporate governance and security in data processes.
Cut through marketing hype for better technology choices.
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Price Range: $43.99
4
Learn practical tools for language AI applications.
Understand Transformer architecture for text generation.
Create advanced pipelines for document clustering.
Build semantic search engines beyond keyword matching.
Explore generative models and prompt engineering techniques.
Train and optimize LLMs for specific tasks.
Utilize pretrained models for text classification tasks.
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Price Range: $55.98
5
Comprehensive overview of data engineering practices.
Learn to build robust data systems.
Evaluate technologies through a data lifecycle framework.
Understand key concepts: ingestion, transformation, storage.
Assess data problems with best practices.
Incorporate governance and security in engineering.
Available PDF included with your purchase.
Average Rating out of 5:
Price Range: $21.43
6
Comprehensive guide on data-intensive application design.
Explore scalability, consistency, and reliability trade-offs.
Understand various data storage and processing tools.
Identify strengths and weaknesses of technologies.
Learn core principles applicable in modern applications.
Navigate complexities of distributed systems research.
Gain insights from major online service architectures.
Average Rating out of 5:
Price Range: $36.99
7
Master data analytics and visualization skills.
Three comprehensive books in one bundle.
Learn effective data communication techniques.
Understand data collection and management processes.
Explore over 40 different chart types.
Gain knowledge of essential machine learning algorithms.
Access accompanying PDF with your purchase.
Average Rating out of 5:
Price Range: $21.83
8
Comprehensive guide for Python programming enthusiasts.
Seven books combined into one resource.
Perfect for beginners and experienced coders alike.
Learns applications from apps to big data.
Updates on the latest Python features included.
Ideal for career advancement in tech fields.
Easy-to-follow format for all learning styles.
Average Rating out of 5:
Price Range: $31.46
9
Learn practical tools for large language models.
Utilize pre-trained models for diverse use cases.
Build semantic search engines beyond keyword matching.
Create advanced pipelines for text document clustering.
Understand Transformer architectures like BERT and GPT.
Explore fine-tuning methods for specific applications.
Gain insights into AI's rapid language advancements.
Average Rating out of 5:
Price Range: $53.18
10
Comprehensive overview of data engineering landscape.
Plan and build robust data systems effectively.
Evaluate technologies through the data engineering lifecycle.
Learn data generation, ingestion, and orchestration techniques.
Incorporate data governance and security measures.
Apply best practices for data architecture design.
Understand critical concepts for any data environment.
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Price Range: $41.79
11
Comprehensive guide for Python data science tools.
Covers IPython, NumPy, pandas, and more.
Ideal for data manipulation and cleaning tasks.
Visualize data with Matplotlib’s flexible features.
Build machine learning models using Scikit-learn.
Perfect for scientists and data professionals.
Second edition includes updated tools and techniques.
Average Rating out of 5:
Price Range: $50.99
12
Learn data science principles from scratch.
Understand algorithms with practical Python implementations.
Updated for Python 3.6 and modern techniques.
Master linear algebra, statistics, and probability basics.
Dive into machine learning fundamentals and techniques.
Explore data manipulation, cleaning, and exploration methods.
Implement models like decision trees and neural networks.
Average Rating out of 5:
Price Range: $36.64
13
Actionable insights for effective data governance.
Align governance with measurable business outcomes.
Expert guidance from a seasoned chief data officer.
Real-world case studies demonstrating successful implementation.
Practical strategies for executive buy-in and support.
Comprehensive overview from ideation to delivery.
Enhance confidence in data management practices.
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Price Range: $42.49
14
Understand modern data architectures and their evolution.
Learn strengths and weaknesses of each approach.
Differentiate between data warehouse and data lake.
Explore data lakehouse and its benefits.
Clarify data mesh concepts and realities.
Gain insights for better data architecture solutions.
Essential guide for data professionals and architects.
Average Rating out of 5:
Price Range: $50.99
15
Master statistical thinking for informed decision-making.
Learn to interpret data responsibly and accurately.
Real-world examples simplify complex statistical concepts.
Understand statistics' role in science and business.
Develop skills to clarify questions and assumptions.
Engage with data in the age of big data.
Includes PDF for enhanced learning experience.
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Price Range: $19.10
Material: 3 positive
16
Comprehensive guide to effective dashboard design.
Learn best practices from data visualization expert.
Updated edition with six new insightful chapters.
Focus on brain science behind visual communication.
Includes examples of well-designed dashboards.
Enhances understanding of bullet graphs and sparklines.
Improves efficiency in presenting critical information.
Average Rating out of 5:
Price Range: $26.35
17
Audacious exploration of human behavior using data.
Revolutionary insights into online life and interactions.
Predicts traits through social media behavior analysis.
Examines societal trends with data-driven storytelling.
Challenges concepts of privacy in a digital age.
Engaging mix of wit, insight, and visual elements.
A fresh perspective on who we really are.
Average Rating out of 5:
Price Range: $13.78
Material: 0 positive
18
Hands-on introduction to Microsoft Power BI.
Step-by-step instructions for creating dashboards.
Suitable for managers, analysts, and students.
Learn by doing with practical exercises.
Includes over 300 images for clarity.
Compare different Business Intelligence tools easily.
Available in color and black & white versions.
Average Rating out of 5:
Price Range: $24.80
19
Understand data pipelines and their importance.
Learn data movement and processing techniques.
Explore batch versus streaming data ingestion.
Evaluate build versus buy pipeline solutions.
Discover common tools for building pipelines.
Understand maintenance and testing considerations.
Enhance analytics and reporting capabilities effectively.
Average Rating out of 5:
Price Range: $16.93
20
Unlock data flexibility with Apache Iceberg.
Achieve high performance in analytics workflows.
Learn efficient data lakehouse architecture.
Optimize tables for maximum query performance.
Integrate seamlessly with Apache Spark and Flink.
Explore streaming and batch data processing.
Reduce costs and eliminate data silos.
Average Rating out of 5:
Price Range: $47.31
21
Learn R programming with hands-on tutorials.
Understand essential data types and concepts.
Practice coding with quizzes and exercises.
Explore data visualization techniques and statistics.
Import, clean, and analyze real datasets.
Utilize R add-on packages effectively.
Develop skills to troubleshoot data analysis issues.
Average Rating out of 5:
Price Range: $24.89
22
Thorough update to industry-standard practices.
Guides on designing DW/BI systems effectively.
Reflects changes in data warehousing landscape.
Adapts to evolving organizational needs.
Created by leading experts in data warehousing.
Enhances decision-making through better data delivery.
Suitable for practitioners and vendors alike.
Average Rating out of 5:
Price Range: $36.49
23
Enhance data discovery in your organization.
Ensure effective data governance with a catalog.
Empower innovation through structured data management.
Organize data sources with clear metadata definitions.
Utilize simple and advanced search techniques.
Manage data effectively within the catalog.
Align catalog implementation with strategic priorities.
Average Rating out of 5:
Price Range: $31.37
24
Comprehensive guide for data science in Python.
Explore essential libraries like NumPy and Pandas.
Learn data manipulation and cleaning techniques.
Create visualizations using Matplotlib effectively.
Implement machine learning with Scikit-Learn.
Ideal reference for researchers and data scientists.
Enhances computational environments with IPython and Jupyter.
Average Rating out of 5:
Price Range: $39.03
25
70 recipes for reliable data pipelines.
Optimize storage for structured and unstructured data.
Learn data ingestion and transformation techniques.
Implement DataOps and DevOps practices effectively.
Use Databricks for orchestrating data pipelines.
Manage Delta Lake tables efficiently.
Includes free PDF eBook with purchase.
Average Rating out of 5:
Price Range: $33.99
26
Learn essential data analytics skills for beginners.
Unlock data's potential with hands-on techniques.
Master a 5-step framework for analyzing data.
Create dynamic visualizations to drive insights.
Overcome challenges with a problem-solving mindset.
Pursue a rewarding career in the data field.
Average Rating out of 5:
Price Range: $17.09
27
Master SAS, Python, and R effectively.
Hands-on examples for practical learning.
Cheat sheets for quick reference.
Chapter summaries for easy review.
Quizzes to test your knowledge.
Best practices for data science success.
Consistent structure for seamless navigation.
Price Range: $39.99
28
Comprehensive guide for data engineering interview prep.
Covers Python and SQL technical challenges thoroughly.
Enhances resume and LinkedIn profile crafting skills.
In-depth insights into SQL and data modeling.
Focuses on aligning engineering with business goals.
Strategies for system design and behavioral interviews.
Essential resource for aspiring data engineers' success.
Average Rating out of 5:
Price Range: $9.99
29
Comprehensive guide to Python data analysis techniques.
Covers data collection, processing, and visualization methods.
Hands-on approach to machine learning algorithms.
Learn data manipulation with NumPy and pandas.
Explore interactive visualizations using Matplotlib and Seaborn.
Analyze text and image data effectively.
Equipped with skills for real-world data challenges.
Average Rating out of 5:
Price Range: $16.54
30
Master DAX for enhanced Power BI performance.
Updated for the latest Power BI Ribbon interface.
Bridge for DAX learners in Power BI and Excel.
Unlock advanced Business Intelligence capabilities effortlessly.
Ideal for beginners and experienced users alike.
Comprehensive third edition with practical examples.
Transform data analysis with powerful DAX formulas.
Average Rating out of 5:
Price Range: $20.59
