Real-time decision making using ML/AI is the holy grail of customer-facing applications. It’s no longer a long-shot dream; it’s our new reality. The real-time decision engine leverages the latest features in Apache Spark 2.3, including stream-to-stream joins and Spark ML, to directly improve the customer experience. We will discuss the architecture at length, including data… Continue reading
Since Spark 2.3 was officially released 2/28/18, I wanted to check the performance of the new Vectorized Pandas UDFs using Apache Arrow. Following up to my Scaling Python for Data Science using Spark post where I mentioned Spark 2.3 introducing Vectorized UDFs, I’m using the same Data (from NYC yellow cabs) with this code: from… Continue reading
What is Snowflake? Snowflake is a new era relational SQL data warehouse built for the cloud that seeks to enable seamless and fully elastic access to business-critical data that satisfies everyone from Analysts to IT to Finance. But why – aren’t there enough Data Warehouses already?! tl;dr Quantity != Quality. Snowflake offers decoupled elastic compute… Continue reading
Objectives: 1. Explore Amazon reviews 2. Sentimentalize the reviews 3. Word frequency by helpfulness Workshop Resources Azure Notebooks Library – Sentiment Notebook – Commoners Notebook More information Datasets http://jmcauley.ucsd.edu/data/amazon/ | Amazon reviews for NLP http://mpqa.cs.pitt.edu/lexicons/effect_lexicon/ | +/- Effect Lexicon Packages http://nlp.johnsnowlabs.com/ | Spark Package for NLP https://spark.apache.org/docs/latest/ml-guide.html | Spark ML guide – focus on DataFrame… Continue reading