June 2017
Intermediate to advanced
280 pages
7h 37m
English
Content preview from Advanced Analytics with Spark, 2nd EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
A
- actions, Bringing Data from the Cluster to the Client
- ADAM (genomics tool set)
- ingesting data with ADAM CLI, Ingesting Genomics Data with the ADAM CLI-Parquet Format and Columnar Storage
- Parquet format and columnar storage, Parquet Format and Columnar Storage-Parquet Format and Columnar Storage
- aggregations, computing with DataFrame, Analyzing Data with the DataFrame API
- alternating least squares (ALS) algorithm, The Alternating Least Squares Recommender Algorithm-The Alternating Least Squares Recommender Algorithm
- anomaly detection
- about, Anomaly Detection
- categorical variables, Categorical Variables
- choosing K, Choosing k-Choosing k
- clustering of full normalized data set, Clustering in Action
- data visualization with SparkR, Visualization with SparkR-Visualization with SparkR
- defined for K-means clustering, Clustering in Action
- feature normalization, Feature Normalization
- initial clustering attempt, A First Take on Clustering-A First Take on Clustering
- K-means clustering for, Network Intrusion-Where to Go from Here
- KDD Cup 1999 data set, KDD Cup 1999 Data Set
- network intrusion, Network Intrusion
- using labels with entropy, Using Labels with Entropy
- Apache Maven, Getting Started: The Spark Shell and SparkContext
- area under the curve (AUC)
- computing for recommendation engine, Computing AUC
- defined, Evaluating Recommendation Quality
- Audioscrobbler data set, Data Set
- average path length, Computing Average Path Length with Pregel-Computing Average Path Length with Pregel
- Avro, Decoupling Storage from ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.