• Improving the Operational Art of Curbside Pickup and Other People-Based Processes
  • Five Key Points to Consider When Executing A Tagging Implementation
  • Five Key Aspects Organizations Should Consider While Deploying An Analytics Stack
  • Blockchain as a Platform for Data Governance 2.0
  • Driving Actionable Insights Through Data Engagement
  • Keeping your Data Stack Agile as a Startup
  • Taking a DA Hub Approach to Solving Analytics Challenges
  • About this Book
  • Acknowledgments & Contributions
  • Data Lake Maintenance
  • Data Lake Security
  • Data Mart Implementation
  • Data Mart Maintenance
  • Data Warehouse Implementation
  • Data Warehouse Maintenance
  • Data Warehouse Security
  • Defining a Data Governor
  • Democratized or Centralized - choosing your workflow
  • Doing more with your Data Mart
  • ETL vs ELT
  • Evaluating Data Stack Technologies
  • Extract and Load a Lake
  • Introduction - The 4 Stages of Data Sophistication
  • Data Warehouse Architecture
  • Source Data Connections
  • Source Data Best Practices
  • Starting with Source Data
  • What Stage are You at?
  • What Engine to Use For a Data Lake
  • Why Build a Data Lake
  • Why Build a Data Warehouse
  • Why Build Data Marts
  • Creating an EC2 Server
  • Row vs Column Oriented Databases
  • Running Jupyter Notebook on an EC2 Server
  • Using Jupyter Notebooks
  • SQL (Structured Query Language)
  • Choosing Metrics for Product Launch
  • Correlation and P value
  • How to Explore Data
  • Types of Data Analysis
  • What is an Outlier?
  • What is Data and Why Should I Care
  • What is the Interquartile Range?
  • Arranging Your Charts as a Dashboard
  • Build the Metrics
  • Conclusion
  • Dashboard Design Process
  • Dashboard Prototyping and Feedback
  • Design a Dashboard Example
  • Determine the Metrics to Monitor
  • Find the Best Visualizations for Your Metrics
  • Finding the Data That Builds Metrics
  • Identifying Key Roles
  • Introduction
  • Making Sure Your Dashboard Always Gets Better
  • Scaling Dashboards
  • Sharing the Dashboard – Distribution Strategies
  • What is a Dashboard?
  • What Makes a Great Dashboard (ACES)
  • Accessing Data
  • Difference between WHERE and ON in SQL
  • How Regex in SQL Works
  • How to Find Outliers with SQL
  • Syntax Conventions
  • Third Normal Form
  • Cross Join - Animated
  • 0 Rows Returned
  • Syntax Errors
  • Full Outer Join - Animated
  • How CASE WHEN Works
  • How Aggregations Work
  • How Subqueries Work
  • How Window Functions Work
  • Inner Join - Animated
  • Introduction
  • Left & Right Join - Animated
  • SQL Join Types Explained Visually
  • Union - Animated
  • Why Databases?
  • Basic SQL Practice Grounds
  • FROM
  • Quick Introductory SQL Concepts
  • LIMIT and OFFSET
  • ORDER BY
  • Browsing the SCHEMA
  • SELECT
  • PostgreSQL Tutorial Completed
  • Help with Common PostgreSQL Errors
  • 5 Redshift SQL shortcuts
  • Additional Practice
  • AND OR Boolean Logic
  • Conditional Logic
  • Copying Data Between Tables
  • Drop all tables Postgres
  • Exclude a Column
  • Export to CSV with \copy
  • Find Duplicates
  • PostgreSQL Generate_Series
  • Hierarchical data in SQL
  • How to Create a Copy of a Database in PostgreSQL
  • How to Export PostgreSQL Data to a CSV or Excel File
  • How to Replace Nulls with 0s in SQL
  • How to Start a PostgreSQL Server on Mac OS X
  • Importing Data from CSV in PostgreSQL
  • Insert multiple rows
  • List the tables in SQLite opened with ATTACH
  • Meta commands in PSQL
  • Outputting Query Results to Files with \o
  • How To Generate Random Data in PostgreSQL
  • Show Tables in Postgres
  • SQL Cheat Sheet
  • UPDATE with JOIN in SQL
  • Using ALTER in PostgreSQL
  • What is the difference between UNION and UNION ALL
  • Aggregate Functions
  • DATE and TIME Functions
  • GROUP BY
  • JOIN Relationships and JOINing Tables
  • Mid Level SQL Practice Grounds
  • Operators
  • WHERE
  • Comparing to Historical Averages
  • Confirmation Bias
  • Define Experiment Parameters
  • Increase Ecommerce Sales with Metrics
  • Metric vs Metrics
  • Overall vs Groups
  • Predicting Outcomes
  • Relative vs Absolute Change
  • Review Outcomes
  • Selection Bias
  • Statistic vs Distribution
  • Survivorship Bias
  • Trends
  • BigQuery Optimization
  • Indexing
  • Multicolumn Indexes
  • Optimization with EXPLAIN ANALYZE
  • Optimize your SQL Query
  • Redshift Optimization
  • Order of a SQL Query
  • Partial Indexes
  • Scheduling Modeling
  • Snowflake Optimization
  • Start Modeling Data
  • Views
  • What is a Query Plan