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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