rl_bd_visualization_sql_nosql.md

Big Data, Visualization, SQL and NoSQL

• Skyline: ETL-as-a-Service
• Writing Dataflow pipelines with scalability in mind
• Data scientists mostly just do arithmetic
• BigQuery integrates with Google Drive
• StreamScope: Continuous reliable distributed processing of big data streams
• Real Time Credit Card Fraud Detection with Apache Spark and Event Streaming
• Implementing Lambda Architecture to Track Real-Time Updates
• Getting the Picture
• Start here: Statistics for A/B testing
• Applied Spatial Data Science with R
• SASI Empowering Secondary Indexes
• Row Level Security with PostgreSQL 9.5
• Equivalences between Tables, Maps, Graphs, and Sets
• Analyzing the NPM dependency network
• Storing and Querying a Unidirectional Graph in MySQL
• Stephen Curry 3-point record ridiculousness
• The Fallacy of Measuring Everything
• Getting Started with MapR Streams
• How to Get Started Using Apache Spark GraphX with Scala
• How to Create a Network Graph Visualization of Reddit Subreddits
• Bet Super Bowl 50 Like A Boss with Apache Spark
• The Nuts and Bolts of Managing Database Upgrades
• Summarizing Data in SQL
• How to map JSON objects using generic Hibernate Types
• Splice Machine Announces Move to Open Source, Offers Early Access to Developers
• How to Use Cohort Analysis to Improve Retention
• BigData and CAP theorem in plain english
• “Unit testing” for data science
• The Key Steps for Quick and Effective Analytics on Disparate Data
• Spark Data Source API: Extending Our Spark SQL Query Engine
• A Pocket Guide to Data Science
• PostgreSQL 9.6 with Parallel Query vs. TPC-H
• The Changing Economics of Big Data
• No shard left behind: dynamic work rebalancing in Google Cloud Dataflow
• How to Evolve from RDBMS to NoSQL + SQL
• Real-Time Event Streaming: What Are Your Options?
• Introducing Autotrack for analytics.js
• Iterate over all keys in a Redis Cluster
• Data Modeling in Cassandra from a Postgres Perspective
• Apache Spark: RDD, DataFrame or Dataset?
• Evolution of the Netflix Data Pipeline
• Tachyon Caching Is Bigger Than Spark In-Memory
• Announcing Kafka Connect: Building large-scale low-latency data pipelines
• How much warmer your city was in 2015
• How We Monitor and Run Elasticsearch at Scale
• Why Apache Arrow is the future for open source Columnar In-Memory Analytics
• Sentiment Analysis on Enron’s Emails with Apache Spark
• The importance of single-partition operations in Cassandra
• BigQuery under the hood
• Interactive Analytics on GitHub Data using PostgreSQL with Citus
• Mining Mailboxes with Elasticsearch and Kibana
• A Graph-Specialized ETL: Taking Citizens into a Graph and Keeping It Up to Date
• Ideal Messaging Capabilities for Streaming Data
• Strong consistency in Manhattan
• Data USA makes government data easier to explore
• Kung fu particles
• One (Token) Ring to Rule Them All
• Engineers Shouldn’t Write ETL: Building a High Functioning Data Science Department
• Explore Data Science – self-paced online learning
• A Universal Streamer for Apache Ignite Based on Apache Camel
• Master-less Distributed Queue with Postgres and PG Paxos
• Change in the British diet, since 1974
• Understand Your Machine Learning Data With Descriptive Statistics in Python
• The design of RavenDB 4.0: Making Lucene reliable
• Stream-processing with Mantis
• How to Integrate Custom Data Sources Into Apache Spark
• Visualizing Unstructured Analysis – Elections, Words, and Zika virus
• Inside Capacitor, BigQuery’s next-generation columnar storage format
• 12 Awesome Spring Data Tutorials to Kick-Start your Data Projects
• 5 Tips for Learning to Code for Visualization
• SQL: Counting Groups of Rows Sharing Common Column Values
• Neo4j vs Relational: Refactoring – Extracting node/table
• Setting up Your Analytics Stack with Jupyter Notebook & AWS Redshift
• Elasticsearch
• You only need 3 votes to play, and other facts about the Hacker News frontpage
• Five mistakes beginners make when working with databases
• 21 Must-Know Data Science Interview Questions and Answers
• Postgres Query Plan Visualization
• Getting Started with Heron on Apache Mesos and Apache Kafka
• Announcing SQL Server on Linux
• Spark Key Terms, Explained
• Never Been Married
• Apache Hadoop Tutorial – The ULTIMATE Guide (PDF Download)
• Documents Update By Query with Elasticsearch
• 12 Inspiring Women In Data Science, Big Data
• Solving Problems with the Right Technology: Hadoop and RDBMS
• MySQL metadata locking and database transaction ending
• Catalog of Life Taxonomic Tree
• If you’re a db, you need to manage CPU / Memory / IO
• Firearms Dealers vs. Burgers, Pizza, and Coffee
• 10 SQL Tricks That You Didn’t Think Were Possible
• On-Time Flight Performance with Spark GraphFrames
• Lower socioeconomic status linked to lower education attainment
• Data Science Tools – Are Proprietary Vendors Still Relevant?
• Neo4j: A procedure for the SLM clustering algorithm
• Predictive policing
• Who marries who, by profession
• Small multiples for NBA game differentials
• Using GraphQL with NoSQL database ArangoDB
• Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers
• Type safety on Spark DataFrames – Part 1
• Going multi DC with Cassandra : what is the pattern of your cluster ?
• The design of RavenDB 4.0: Physically segregating collections
• one.love – an inspired rethink
• The Essential Guide to Streaming-first Processing with Apache Flink
• GraphQL Deep Dive: The Cost of Flexibility
• R in Ecology
• A Great Analyst’s Best Friends: Skepticism & Wisdom!
• Open Sourcing Twitter Heron
• PostgreSQL Bloat: origins, monitoring and managing
• Spotify’s Event Delivery – The Road to the Cloud (Part I)
• Observability at Twitter: technical overview, part I
• Possible paths for a Trump nomination loss or win
• How to effectively use the Elasticsearch data source in Grafana and solutions to common pitfalls
• Microsoft SQL Server Developer Edition is now free
• Data Science: Do the Numbers – Part 1
• Hunting Down Phantom Write Spikes in RDS Postgres
• Analyzing Ruby Code With Neo4j
• Tailing the MongoDB Replica Set Oplog with Scala and Akka Stream
• Quick start with In memory Data Grid, Apache Ignite
• Building Data Systems: What Do You Need?
• Shot Blocking in the NHL Playoffs
• One Chart, Twelve Charting Libraries
• The Data Science Puzzle, Explained
• Using Metadata Repository to Improve MDM Success
• Python Dependency Analysis
• Citus Unforks From PostgreSQL, Goes Open Source
• History of massive-scale sorting experiments at Google
• What I Use to Visualize Data
• Fast Search Using PostgreSQL Trigram Indexes
• Correlated Subqueries are Evil and Slow. Or are They?
• Interconnectedness of the galaxies
• Sorted pagination in Cassandra
• Tablesample In PostgreSQL 9.5
• The Guts n’ Glory of Database Internals: Searching information and file format
• SQL Query on Mixed Schema Data Using Apache Drill
• Push your configuration to the limit – spice it up with statistics
• Treating visualization as a process
• First steps to Spring Boot Cassandra
• MongoDB queries don’t always return all matching documents!
• Rising death rates for white women
• NFL draft pick quality for your team
• How To Prepare Your Data For Machine Learning in Python with Scikit-Learn
• Voting habits for various demographic groups
• Transitioning from MySQL to Cassandra at Chaordic
• Microsoft’s DocumentDB now lets you use your mad MongoDB skills
• Redis transactions
• The Guts n’ Glory of Database Internals: The LSM option
• How to call Oracle stored procedures and functions from Hibernate
• How we built Search at Kit
• Spark Streaming and Twitter Sentiment Analysis
• How-To Apache Spark Streaming with Scala Part 1
• Introducing the Google Analytics 360 Suite
• Ad Block Tracking With Google Analytics: Code, Metrics, Reports
• Feature flagging to mitigate risk in database migration
• Shifting Parent Work Hours, Mom vs. Dad
• Doing Data Science: A Kaggle Walkthrough Part 2 – Understanding the Data
• (Abusing) Elasticsearch as a Framework
• Introduction to Big Data
• 10 Useful Python Data Visualization Libraries for Any Discipline
• Application architectures with persistent storage
• Cassandra Native Secondary Index Deep Dive
• Lift Analysis – A Data Scientist’s Secret Weapon
• Human perception for visualization
• Stream Processing Everywhere – What to Use?
• Vega-Lite for quick online charts
• Suite of data tools for beginners, focused on fun
• The most important thing to know in Cassandra data modeling: The primary key
• Facebook Reactions and the Problems With Quantifying Likes Differently
• Thoughts on Algolia (vs Solr & Elasticsearch)
• Dataflow/Beam & Spark: A Programming Model Comparison
• Search Strategy Formulation: A Framework For Learning
• Rethinking DITA “Custom” Attributes
• Visualizing Concurrency in Go
• The Rise of Dark Data and How It Can Be Harnessed
• Lists are the new search
• School district spending per student
• Agile Databases
• Getting Started with Sample Programs for Apache Kafka 0.9
• How to Build Applications on a NoSQL Document Database and Perform Analytics in Place
• The Guts n’ Glory of Database Internals: B+Tree
• U.S. gun deaths rate is an outlier
• When Should Approximate Query Processing Be Used?
• Do jobs run in families?
• Query Sniper
• Top 10 Essential Books for the Data Enthusiast
• The Marketing Analytics Maturity Model: Where You Are and How to Advance
• Pills of Eventual Consistency
• Using Spark and Zeppelin to process big data on Kubernetes 1.2
• PostgreSQL Streaming Replication in 10 Minutes
• Search Strategy Formulation: A Framework For Learning (part 2)
• The New Rules for Becoming a Data Scientist
• Cassandra: The Foundation Big Data Building Block
• R: tm – Unique words/terms per document
• Continuous Data Migration
• Supreme Court shifts in power
• Growing to Obesity
• Analyzing the Panama Papers with Neo4j: Data Models, Queries & More
• How to implement a custom String-based sequence identifier generator with Hibernate
• Apache Spark as a Distributed SQL Engine
• Gorilla: A fast, scalable, in-memory time series database
• Get Facebook, Bing, Twitter & more into Google Data Studio
• Building a Streaming Search Platform
• Rock Analytics More: Obsess About Goals And Goal Values!
• Five Things Every Startup Should be Doing with its Data
• Play chess against the machine and see what it’s thinking
• Working with streaming
• Serializable, Lockless, Distributed: Isolation in CockroachDB
• Marrying Age
• Evolution of Big Data Storage: How to Support Real-time Analytics at Scale
• Differences in JPA entity locking modes
• Apache Hadoop Hive Tutorial