Data Analytics and the Rising Power of the Cloud

More and more organizations are moving their data to the cloud to capitalize on cost-efficiencies and time-to-value opportunities. The technologies underpinning big data and cloud computing are converging and offering businesses new capabilities for fast, easy, wide-ranging data access. However, only if integrated and managed properly.

DBTA recently held a roundtable webinar featuring Farshad Ghazi, global product manager at Micro Focus, Kevin Petrie senior director and technology evangelist at Attunity, and Danil Zburivsky director of big data and data science at Pythian, who discussed key technology components and best practices being deployed by successful users.

Decision engines are changing, Petrie said, the way users handle traditional analytics is changing in favor of modern approaches such as real-time processing, the Internet of Things, and more.

Cloud presents a market opportunity for data mobility and efficient data pipelines to enable migrations and agile analytics across cloud platforms.

With Attunity Enterprise Manager, users can perform automated, universal and real-time data integration, get ready immediate use with continuous updates, and gain Insight on data usage, capacity needs, and performance.

An important part of successfully navigating the cloud is investing time into data security.

According to Ghazi, data protection for cloud data is more critical today because:

  • Moving to the cloud is not an option, its required
  • Transfer data, applications, workloads to the cloud, but not liability
  • Reduce operating expenses; shared responsibility model
  • Traditional security does not migrate well to the cloud
  • More challenges to preserve privacy and achieve compliance in the cloud
  • Data centers are overloaded with data
  • Honeypot of sensitive data for hackers and data thieves (enhanced attack vectors)
  • Protecting customers data is not the cloud provider’s liability
  • Insufficient trust with cloud service providers to secure data from unauthorized access, blind subpoenas, media theft, etc.
  • Businesses use more than one cloud provider which exacerbates data protection and management challenges
  • Regulations (GDPR, PCI, regional) are forcing organizations to gain stronger control over data protection

With Voltage SecureData Cloud users can embed data security consistently and seamlessly across legacy and hybrid IT to lower risk of migration, adopt platform agnostic security that simplifies deployment of  trusted modern IT architecture, and accelerate new business models that leverage the safe deployment of flexible workloads, Ghazi said.

Cloud presents abundant opportunities for analytics and gaining time to value, scale and elasticity, cost, and introduces new generation of data warehousing products, according to Zburivsky.

Cloud unlocks new opportunities for analytics and old BI architectures will not work efficiently if ported as is. Warehouse becomes just a component in a bigger cloud analytics platform and users should utilize different tools and approaches for each layer.

 Monitoring, security, automation and data governance become paramount as all systems become distributed, Zburivsky said.

An archived on-demand replay of this webinar is available here.