Moving Data and Analytics to the Cloud

The migration of data and analytics to the cloud is offering businesses new capabilities for fast, easy and wide-ranging data access. At the same time, there are many success factors to consider, from the strengths and weaknesses of different cloud providers, to integration hurdles, data latency challenges and governance problems.

DBTA recently held a webcast featuring Clive Bearman, director marketing strategy, Attunity, and Steve Sarsfield, director, product marketing, Vertica, who discussed the pros and cons of taking data and analytics into the cloud.

There is a cloud and hybrid wave on the horizon, Sarsfield explained, and there are several questions IT should be asking before making the jump to creating the perfect mix of both.

This includes:

  • Do you believe in the separation of compute and storage?
  • How much tuning do you want to have available?
  • How much data will you commit to the cloud vs low cost storage?
  • What kind of analysis do you want to do?
  • Is predictive analytics and machine learning in your future?

Vertica offers a platform that makes it easier to migrate to the cloud with the ability to be both on prem at the same time.

Change is everywhere and it’s being estimated that $205 billion by 2020 will be spent on public cloud data, according to Bearman.

It is becoming increasingly important that multi-cloud solutions be part of the infrastructure in a successful business.

Attunity offers a platform that can deliver data efficiently and in real-time to clouds, data lakes, and streaming architectures, Bearman said.

The platform can speed time to value, reduce complexity, and navigate change, according to Bearman.

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