- 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