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Fast Data in 2021

 

By Adi Paz, CEO, GigaSpaces Technologies

Digital Transformation initiatives will accelerate at an even quicker pace due to the Covid-19 pandemic. This coming year, enterprises will need to invest in technologies to better manage unplanned peaks, to increase agility, and accelerate data processing to improve the quality, speed and reliability of all on-line services and operations. 

Here are five trends we see on the horizon for 2021:

Next Generation ODS Technology for Faster Modernization  

Although enterprises are driving digital transformation, their systems of records and many legacy systems will remain intact, and new technologies such as Digital Integration Hubs which can be referred to as next gen ODSs, will help drive digital transformation without the need to rip and replace mission critical infrastructure. A next generation ODS aggregates and offloads data from back-end systems and data stores on-premise and on-cloud, and also decouples the API layer so that enterprises can break down their data silos and provide applications and services that have a full 360 degree view of the business. A unified API layer will enable enterprises to rapidly introduce digital applications and services at scale, across on-premise, hybrid, cloud, and multi-cloud deployments ensuring the speed, scale and availability they need for their applications without having to totally divest in their legacy systems. 

AIOps Adopted

The adoption of AI for managing data operations will grow as organizations strive to handle their complex data operations in a more optimal manner. AIOps capabilities can help resolve resource availability and TCO challenges especially during unplanned peaks while ensuring expected SLAs and the reliability of the data. AI-driven autonomous scaling of resources for both transactional and analytical workloads can save on over provisioning both on premise and in the cloud, and enable scaling exactly when needed to handle peak loads. When data is automatically managed and moved efficiently across different data tiers, enterprises can meet demanding SLAs, reserving high cost RAM for the highest priority data for the business that needs the fastest access. The adoption of AIOps will add greater intelligence and automation while aligning the IT with the business needs of the company.

Translytical is on the Rise 

The move to on-line services requires real-time decisions on transactional/operational data which is driving the unification of operational and analytical systems. An emerging modern enterprise architecture called Translytical, HTAP or Augmented Transactions, combines OLTP (CRM, ERP, billing, etc.) with OLAP (data lake, data warehouse, BI, etc.) systems.

Enterprises will adopt this simplified architecture to operationalize ML with the ability to rapidly build the feature vector on even more data for more accurate and faster results. They will gain data-driven improvements in customer experience, information monetization, and operational efficiency.  

Agility is the Name of the Game 

As consumers and businesses become more dependent on digital transactions, enterprises will compete on the speed of launching new digital applications. They will search for the best ways to increase their agility. Moving to cloud will definitely help, but the added complexity of the modern large enterprise will require intelligent tools to help integrate many data sources as well as provide simple provisioning and management. 

No-Code integrations with data stores both on-premise and in the cloud will speed up the process of aggregating data. The ability to automatically scan and load data will reduce the time required for data preparation. The increased adoption of a microservices architecture will help the rapid development and deployment of new services. 

Hybrid Environments and Smoother Transition to the Cloud

Enterprises will be more likely to embrace a hybrid and multi-cloud approach next year. Initially considered a temporary option until an enterprise moves all of its data to the cloud, it's well understood that a hybrid cloud approach is necessary since specific data must stay on premise to meet performance and regulatory requirements.  In the last year, we've seen the three top public cloud providers-Google, Microsoft, and Amazon-respond to this trend by introducing hybrid or multi-cloud services. The use of Kubernetes, OpenShift or comparative native solutions help provide frictionless hybrid and multi-cloud deployments for consistency across on-premises and cloud environments, so that enterprises will be able to leverage the optimal environment to power their services and make a smoother transition to the cloud. 

Next year enterprises will compete to launch new digital services and provide the best user experience by automating and optimizing data operations to meet the new Corona business realities. As enterprises strive to be more data-driven, improving the speed of ingesting, processing, and sharing data will increase the power and impact of time-sensitive applications. In 2021, more enterprises will invest in their IT infrastructure to ensure they can have they are equipped to thrive in the online economy. 

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About the Author

adi paz 

As GigaSpaces CEO, Adi stands at the forefront of the fastest moving technology industry trend: Advanced analytics and In-Memory Computing. He’s spent the past 8 years driving GigaSpaces’ vision, strategy and scaling its business. Adi brings to this position nearly two decades of experience in business management, international marketing, strategic sales, channel development, and products development.

Published Monday, January 25, 2021 7:42 AM by David Marshall
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