Resources
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Open-source, Scale-out, Cloud-native database

DataStax is a hybrid database-as-a-service built on Apache Cassandra™.

Read more about how Expero partners with DataStax.

Supply Chain Risk Management

Expero | DataStax Overview

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DataStax Astra Demo

  • Porting an existing DataStax Enterprise application to DataStax Astra
  • Astra allows for administration-free database services
  • Use the same DataStax tooling and modeling studio for Astra
  • All your APIs continue to work as you expect when moving to Astra
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3 Minutes

Fraud: Detection & Avoidance of Opioid Fraud

  • Fraud Segmentation
  • Care Plan Flagging
  • Relationship Graphing
  • Geographic & Time Series
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9 Minutes

Customer 360: Financial Services

  • Similarity / Influence
  • Multiple-lines Business
  • Sentiment
  • Recommendations
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3 Minutes

Customer 360: Retail

  • Cross Sell / Up Sell
  • Recommendation
  • Customer Relationship
  • Marketing Campaign
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3 Minutes

Supply Chain: Routing Optimization

  • Best Optimzation
  • Provisioning Planning
  • Recommendation
  • Shortest Path
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August 20, 2019

Speed Dating with Cassandra

  • Microservices
  • Architecting and Designing
  • Datacenter Sizing & Replication
  • "Show Me" Examples from Above Topics
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March 28, 2019

Speed Dating with Cassandra

  • noSQL, Analytics, Search & Graph
  • DSE Studio demo: 3 simult. Cloud vendors
  • Demo: Supply Chain, Customer 360 & Fraud
  • ER solved with DSE replication
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May 30, 2018

Data Management for Oil and Gas: Predictive Maintenance Intelligence

  • Predictive Maintenance
  • Oil Field IoT
  • Machine Learning & Time Series Data
  • DataStax Enterprise
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May 16, 2018

Data Management for Oil and Gas

  • Asset Management
  • Equipment Maintenance
  • Machine Learning
  • DataStax Enterprise
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April 18, 2018

Customer 360 Using Graph & ML

  • Graph 101 for Customer 360
  • Predictive Machine Learning
  • Intervene, Recommend, Cross-Sell
  • Datastax Enterprise
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April 11, 2018

Fraud Detection and Optimization using Graph & ML

  • Finserv Fraud with Graph and ML 101
  • Determanistic Algorithms
  • Demo: Insurance Fraud
  • Datastax Enterprise
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April 4, 2018

Supply Chain Optimization with Graph & ML

  • Why Graph & ML for Supply Chain?
  • Predictive Analytics
  • Demo: Aircraft Fleet and Routing
  • Datastax Enterprise
Blog

Pulsar, Musings from a DataStax and Confluent Partner

Blog #1 in a series that will highlight the aspects of Pulsar that make it an attractive prospect for your messaging and data streaming needs.

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Astra First Impressions - Porting an Existing Application

Learn about Astra, the new DataStax DBaaS offering for Cassandra.

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Customer Satisfaction Scoring Using GraphML

Find dissatisfied customer cohorts and evaluate intervention measures using graph machine learning.

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Fraud Detection Using Deep Learning

How to detect both credit card fraud and money laundering using graph and machine learning.

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Node Classification by Graph Convolutional Network

Leveraging the natural structure of data, graph convolutional networks produce optimal predictions of node properties.

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To Catch a Thief… You Need Entity Resolution

FBI’s use of machine learning based entity resolution to catch criminals and fraudulent activity.

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DSE Graph Partitioning Part 2: Taming your Supernodes

A supernode is a vertex with a large number of edges. In graph theory, these high-degree vertices are known as hubs.

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DSE Graph Partitioning Part 1: Custom Vertex Ids

DataStax Enterprise 5.0 contains much more than a version bump of its component pieces. In particular, DSE 5.0 includes the new graph database, DSE Graph. DSE Graph is an Apache TinkerPop enabled distributed property graph database that uses Apache Cassandra for storage, DSE Search for full text and geospatial search, and DSE Analytics for analytical graph processing.

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