Snapshot of trends reshaping Big Data Analytics & IoT

1. Snapshot of trends reshaping Big Data Analytics & IoT
H/W is back (IoT) – Onion Omegs makes IoT h/w prototyping as easy as creating & installing s/w apps.
Industry devices: Scanalytics – retail floor sensor analytics promotes in-store conversions, customer retention.
Cloud Adoption in Analytics : Global Hadoop as a Service (HDaaS) market to grow at 84.81% CAGR through
till 2019 + Existing offerings from Salesforce, Microsoft, IBM, Amazon, Accenture, CSC, DataBricks.
Real Time Analytics Options: Google Cloud Dataflow: pipelines to ingest, transform & analyze data – works
w/ Spark. MSFT Trill: streaming analytics engine processes data @ 2-4 orders of magnitude over competitors.
BI-aaS & Data Prep: 33% BI folks spend 50-90% of Time “Cleaning” Raw Data for Analytics; 97% said ETL
critical - 51% polled use on premise vs 49% cloud. On prem. ETL folks: 51% “strongly considering” cloud
Spark: IBM to invest a few Hundred Million dollars/year in Apache Spark - putting 3,500+ researchers to
improve the engine, fix bugs, test it in production & submit new features. Amazon EMR follows suit.
Pricing Machine Learning: AWS-ML priced @ $.42/hr for model builds, $0.1/1000 batch & $0.0001 per real time
prediction. MSFT’s Cortana Analytics: subscription bundle includes ML, Big data stores, PowerBI all-in-one.
Insights Products: First Data xforms payment data to insights on sales & customers. Thomson Reuters quants
create models for institutional investors to predict security prices & influencing events w/ non traditional data
Analytics App Re-use: Teradata App Center - analytics app template s - 29 frameworks in 6 industries: retail,
telco, healthcare, hospitality. Incl. pre-built logic, visualizations + config. Templates do 80% of finished app.
Arindam Banerji (banerji.arindam@gmail.com)