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Posts by category
- Category: Vertical-specific
- Category: News
- Category: Internet of Things
- Category: Interview
- Category: Throwback Thursday
- Crossing the Development to Production Divide
- Learning from Imbalanced Classes
- Creating a Digital Strategy
- Space Shuttle Problems: Long-term Planning Amid Changing Technology
- Building a Data-Driven Culture
- Getting Value Faster with a Data Strategy
- How to Choose a Data Format
- The Data Platform Puzzle
- Analyzing Caltrain Delays
- Avoiding Common Mistakes with Time Series Analysis
- How Do You Build a Data Product?
- The Venn Diagram of Data Strategy
- We Need a New Data Architecture: What Next?
- Jupyter Notebook Best Practices for Data Science
- 5 Ways to Facilitate Failure
- Why You Need a Data Strategy
- CDO FAQ
- One Year Later, Observations on the Big Data Market
- Successful Data Teams are Agile and Cross-Functional
- What Your Board of Directors Wants to Know About Big Data
- Data: What Industry Wants
- Data Strategy in a World of Big Data
- Category: Meetups
- Category: CDO
- Category: Architecture
- Realize the Business Power of Your Data with DevOps
- Data Pipelines in Hadoop
- How I Learned to Stop Worrying and Love Ephemeral Storage
- Kafka Simple Consumer Failure Recovery
- Building Data Systems: What Do You Need?
- Understanding Modern Data Systems
- Crossing the Development to Production Divide
- The Data Platform Puzzle
- We Need a New Data Architecture: What Next?
- Data Architecture Reading List
- Category: Communications
- Category: Experimental Enterprise
- Category: Uncategorized
- Happy Holidays from SVDS
- Evaluating Data Science Projects: A Case Study Critique
- Machine Learning vs. Statistics
- Mind Reading: Using Artificial Neural Nets to Predict Viewed Image Categories From EEG Readings
- Imbalanced Classes FAQ
- Beyond Privacy and Security in a Connected World
- Noteworthy Links: September 22 2016
- Learning from Imbalanced Classes
- Connecting Data Systems and DevOps
- Noteworthy Links: Strata Edition
- The Basics of Classifier Evaluation: Part 2
- The Basics of Classifier Evaluation: Part 1
- Zero to Kaggle in 30 Minutes
- CDO FAQ
- Avoiding Common Mistakes with Time Series
- What Your Board of Directors Wants to Know About Big Data
- One Year Later, Observations on the Big Data Market
- Successful Data Teams are Agile and Cross-Functional
- Data: What Industry Wants
- When Fair Isn’t Predictable: The Law of Averages
- Category: Blockchain
- Category: Microservices
- Category: Data visualization
- Category: Data strategy
- Becoming Data-Driven: A Conversation with Sanjay Mathur
- Data Opportunities in Health Care
- You Have 100 Days to Lead a Data Revolution
- Rethinking Data Governance
- How to Grow Your Data Capital
- Five Business Challenges Data Can Solve
- Minding Your Data Gaps
- Understanding Your Data Maturity
- Is Your Customer Journey Set Up for Success?
- Is Your Data Holding You Back?
- Four Data Capabilities for Telecommunications
- Introducing a Value-Centered View of Data Maturity
- Driving Product Engagement with User Behavior Analytics
- Data-Driven User Engagement
- The ROI of a Modern Data Strategy
- Noteworthy Links: Using Data Creatively
- Agile Data Science Teams Deliver Real World Results
- Noteworthy Links: Fintech Industry
- Hadooponomics Interview: The Evolution of Data
- Becoming Data Driven: A Conversation with Sanjay Mathur
- Five Business Challenges Data Can Solve
- The “Why?” Behind a Modern Enterprise Data Strategy
- Getting Value Faster with a Data Strategy
- Driving the Digital Transformation in Retail and Hospitality
- Optimizing Your Digital Strategy
- The Venn Diagram of Data Strategy
- Why You Need a Data Strategy
- Data Strategy in a World of Big Data
- Category: DMM
- Category: Conferences
- The First 100 Days: FAQs
- From Defense to Offense: Shifting the CDO Mindset
- Make the Most of Your Data
- Exploratory Data Analysis in Python
- Models: From the Lab to the Factory
- When Decisions Are Driven by More Than Data
- Embracing Experimentation at AstroHackWeek 2016
- With Data, Ask “What” Before “How”
- Predix Transform 2016
- Building Pipelines to Understand User Behavior
- Cultivating an Experimental Enterprise
- SVDS at Strata San Jose 2016
- Strata + Hadoop World 2015 in San Jose
- Silicon Valley Data Science at Strata 2014 in New York
- Thoughts from Euro PyData
- Women in Statistics Conference 2014
- Stampedecon 2014: Piloting Big Data
- Silicon Valley Data Science at Strata 2014
- SVDS Takes Manhattan: Strata + Hadoop World New York
- Category: Guest posts
- Category: Tools
- Exploring the Possibilities of Artificial Intelligence
- Handling Small Files in MapR-FS
- Understanding AI Toolkits
- How To Create a Continuous Delivery Pipeline for a Maven Project
- Managing Spark and Kafka Pipelines
- Noteworthy Links: Artificial Intelligence
- How to Navigate the Jupyter Ecosystem
- Open Source Toolkits for Speech Recognition
- Getting Started with Deep Learning
- Big Data is About Agility
- Structured Streaming in Spark
- Brain Monitoring with Kafka, OpenTSDB, and Grafana
- Materialized Views with Cassandra
- Noteworthy Links: Hadoop Edition
- Jupyter Notebook for Data Science Teams
- Why Notebooks Are Super-Charging Data Science
- Data Day and Graph Day Texas Slides
- Space Shuttle Problems: Long-term Planning Amid Changing Technology
- Pivoting Data in SparkSQL
- From Impala to Hive with Love
- Develop Spark Apps on YARN Using Docker
- Jupyter Notebook Best Practices for Data Science
- Two Tips for Optimizing Hive
- Category: Python
- Category: Docker
- Category: Spark
- Data Ingestion with Spark and Kafka
- From Data Managers to Platform Providers
- Making Spark and Kafka Data Pipelines Manageable with Tuning
- Spark Summit: Ignition in the Enterprise
- Building a Prediction Engine using Spark, Kudu, and Impala
- Reshaping Data with Pivot in Spark
- Use Cases for Apache Spark
- 5 Reasons Why Spark Matters to Business
- Flexible Data Architecture with Spark, Cassandra, and Impala
- Category: R&D
- Analyzing Sentiment in Caltrain Tweets
- Easily Spinning up Data Platforms
- TensorFlow RNN Tutorial
- The Value of Exploratory Data Analysis
- Image Processing in Python
- Noteworthy Links: Social Media Edition
- Analyzing Caltrain Delays: What We Can Learn
- How to Choose a Data Format
- How Do You Build a Data Product?
- Better Know the Districts
- Listening to Caltrain: Analyzing Train Whistles with Data Science
- Railroad Modeling at Hadoop Scale
- Category: Data valuation
- Category: Caltrain
- Category: Gerrymandering
Case Study
- Global Agriculture Company — Data Strategy
- Financial Software Company — Machine Learning Assessment
- Global Insurance Company — Data Architecture
- UK Retail and Banking Company — Agile Data Engineering
- Online Media Company — Data Platform Building
- UK Retailer — Data Strategy
- Financial Software Company — Data Science and Agile Build
- Fintech Startup — Data Strategy
- Wearable Medical Device — Customer Engagement
- Leading Investment Management Firm — High-Performance Data Architecture
- Global Sportswear Brand — Product Engagement Analytics
- Wearable Medical Device — Agile Data Science
- Leading Retail Chain—Agile Build
- Multinational Industrial Technology—Agile Build
- High-Tech Computing—Data Strategy
- Industrial IoT—Architecture Advisory
- Leading Global IT Services Provider — Agile Build
- Wearable Medical Device — Architecture Advisory
- Television — Architecture Advisory
- Edmunds — Agile Build
- Health Integrated — Data Strategy
- The Allant Group — Architecture Advisory & Agile Build
Discovery Material
- Developing a Modern Enterprise Data Strategy (Video Training)
- How to Establish Software Capabilities: Realize the Business Power of Your Data
- Agile Data Science Teams Deliver Real World Results
- Interview: Data Engineering
- Edmunds case study
- Interview: The Data Lake Dream
- Allant case study
- Data Strategy Within Your Organization
- The Data Value Chain
- Interview: Mining the Field of Big Data Strategies
- Ingesting Data in the Data Value Chain
- Data Discovery in the Data Value Chain
- Health Integrated case study
- Data Strategy Position Paper
- Interview: Spark on theCUBE
- Software is Eating the World, And You’re For Lunch
- Interview: Hadoop Ecosystem on theCUBE
- Interview: Data-Driven Business on theCUBE
- Running Agile Data Science Teams
- Gerrymandering and Political Gridlock in the US
- Visualizing the Evolution of Rock Music
Projects
- Format Wars: From VHS and Beta to Avro and Parquet
- What is Your Data Worth?
- Better Know the Districts
- Listening to Caltrain
- The History of Rock
Thought Leadership
- SVDS Data Maturity Model
- Understanding the Chief Data Officer, Second Edition
- The Art of Abstraction
- Building the Experimental Enterprise