hybrid integration
MIX TO THE MAX
Ashwin Viswanath of Talend looks at how hybrid integration , broken down into five phases , can help businesses overcome the challenges emerging from digital business .
According to the Digital Universe study by IDC , global data volumes will grow from 4.4 zettabytes in 2013 to 44 zettabytes by 2020 . That ’ s a staggering increase . Managing all of this new data represents several opportunities for businesses , but also significant challenges . After all , it ’ s not just the volume of data as much as the increasing variety of data sources and formats that presents a problem .
With mobile Apps , machine data , on-premises applications and Software as a Service ( SaaS ) all flourishing , we are witnessing the rise of an increasingly complicated information value-chain ecosystem . IT leaders need to incorporate a portfolio based approach and combine cloud and on-premises deployment models to sustain competitive advantage . Improving the scale and flexibility of data integration across both environments to deliver a hybrid offering is vital to providing the right data to the right people at the right time .
The evolution of hybrid integration approaches creates requirements and opportunities for converging application and data integration . The definition of hybrid integration will continue to evolve , but the ‘ direction of travel ’ is clearly to the cloud .
Gartner is projecting dynamic growth in public cloud spending . According to the research firm , the worldwide public cloud services market is projected to grow 16.5 per cent in 2016 to total $ 204bn , up from $ 175bn in 2015 . The highest growth will come from cloud system infrastructure services ( Infrastructure as a Service [ IaaS ]), which is projected to grow 38.4 per cent in 2016 .
The increasing focus on the cloud means that customers will need to have an effective hybrid integration strategy . At Talend , we have identified five phases of cloud data integration , starting with the oldest and most mature and going right through to the most bleeding edge and disruptive . Here , we provide a brief overview of each phase of that integration and highlight how businesses can optimise the approach as they move from one step to the next .
Phase 1 : Replicating SaaS apps to on-premise databases The first stage in developing a hybrid integration platform is to replicate SaaS applications to onpremises databases . Companies in this developmental phase typically either need analytics on some of the business critical information contained in their SaaS apps , or they are sending SaaS data to a staging database so that it can be picked up by other on-premises apps .
So as to increase the scalability of existing infrastructure , it ’ s best to move to a cloud based data warehouse service within AWS , Azure , or Google Cloud . The scalability of these cloud based services means businesses don ’ t need to spend cycles refining and tuning the databases . Additionally , they get all the benefits of utility based pricing . However , with the broad range of SaaS apps today generating even more data , they may also need to adopt a cloud analytics solution as part of their hybrid integration strategy .
Phase 2 : Integrating SaaS apps with on-premises apps Each line of business has their preferred SaaS app of choice : Sales departments have Salesforce , marketing has Marketo , HR Workday , and Finance NetSuite . However , these SaaS apps still need to
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hybrid integration
MIX TO THE MAX
Ashwin Viswanath of Talend looks at how hybrid integration, broken down into five
phases, can help businesses overcome the challenges emerging from digital business.
A
ccording to the Digital
Universe study by
IDC, global data
volumes will grow
from 4.4 zettabytes
in 2013 to 44 zettabytes by 2020.
That’s a staggering increase.
Managing all of this new data
represents several opportunities
for businesses, but also significant
challenges. After all, it’s not just
the volume of data as much as the
increasing variety of data sources
and formats that presents a problem.
With mobile Apps, machine
data, on-premises applications and
Software as a Service (SaaS) all
flourishing, we are witnessing the
rise of an increasingly complicated
information value-chain ecosystem.
IT leaders need to incorporate
a portfolio based approach and
combine cloud and on-premises
deployment models to sustain
competitive advantage. Improving
the scale and flexibility of data
integration across both environments
to deliver a hybrid offering is vital to
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