Common Big Data Market TrendsM

oder

n Da

ta

War

ehou

se • Hadoop as an ETL/ELT optimization engine

• Integration of streaming engines for data ingestion

• Lambda and Hybrid architectures that include multiple processing and storage layers

Data

Lak

es • A good starting point for an organization to enter into Big Data

• Collect data points as files in a massively distributed file system for analysis, processing and warehousing Ad

vanc

ed A

naly

tics • Real-time

stream-based analytics

• Machine Learning

• Leverage statistics-based packages in R and Python for exploratory analysis

• Uncover the valuable data points from Data Lake

Customer Cloud Data DemandsSc

ale • Elasticity. Don’t

engineer for worst-case scenario all the time.

• Moving data to Azure means taking advantage of Microsoft’s bottomless storage and enormous compute resources.

Spee

d of

De

ploy

men

t• Customers want to take advantage of Azure’s ability to automate deployments

• A huge advantage of Cloud Data solutions in Azure is to quickly spin-up & spin-down environments in dev/test, QA, production as well as pause & stop

Poly

glot

En

viro

nmen

ts• Azure Data solutions are able to incorporate complex heterogeneous data environments that include a large spectrum of engine and storage options from RDBMS to NoSQL to Hadoop

• Take advantage of the Azure Marketplace

Big Data in the Microsoft Azure Marketplace