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catalyzing digital Transformation: Exist Software Labs Participates in Sun Life Global Solutions' Spark Innovation Series on Cloud & Data Federation
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Catalyzing Digital Transformation: Exist Software Labs participates in Sun Life Global Solutions’ Spark Innovation Series 2023 on Cloud & Data Federation
Catalyzing Digital Transformation: Exist Software Labs participates in Sun Life Global Solutions’ Spark Innovation Series 2023 on Cloud & Data Federation 1300 972 Exist Software Labs

In photo (L-R): Event host Associate Director – Business Development  Yvette Seno, Engineering Manager Joseph Dindo Siasoco, Head of Portfolio Management Ada Mae David (Sun Life Global Solutions), Exist Director of Technical Services Dennis de Vera, Exist Vice President of Technology Jonas Lim, Exist President Michael Lim and Event host and Senior Project Manager Kiko Angeles

At Bonifacio Global Center on August 29, 2023, Sun Life Global Solutions held another edition of Spark Innovation Series, with the session focusing on Cloud and Data Federation. With an objective of updating their employees on the latest innovations in Cloud technology in the Financial Industry, Sun Life invited technology innovator Exist Software Labs (Exist) to discuss cloud data federation and data modernization.

Kiko Angeles and Yvette Seno opened the program as masters of ceremonies from Sun Life Global Solutions. Exist representatives Michael Lim, Jonas Lim, and Dennis De Vera, Jr. graced the event.

Exist’s journey towards Cloud Adoption and Data Federation

Exist President Michael Lim started the discussion at Sun Life event by providing valuable insights into Exist’s journey as a technology company. He presented the significant milestones of Exist Software Labs over the past 22 years, which inevitably touched on the brief history of cloud adoption. Dennis de Vera, Exist Director of Technical Services, supplemented this conversation highlighting the transition from traditional infrastructure to cloud services, and the subsequent innovations in infrastructure and data.

 

Dennis, in his presentation, provided an overview of Exist’s history of cloud adoption. Figures 1 to 3 above served as visual milestones, illustrating the transformation as regards cloud adoption. In Figure 1, Dennis described the initial stages of cloud adoption, where Exist began its journey by moving applications and databases to the cloud. This marked Exist’s crucial shift from traditional on-premise infrastructure to the cloud, a decision that would prove to be helpful not only to Exist, but to other organizations as well.

The move to cloud services was not merely a change in infrastructure but a strategic pivot that enabled Exist Software Labs to tap into the vast potential of cloud computing. Cloud services provided scalability, flexibility, and cost-efficiency, allowing the company to expand its offerings and deliver value to clients in innovative ways.

As Dennis explained under Figure 2, applications were broken down into specific cloud services, which not only optimized performance but also enhanced security and resource allocation. This granular approach to cloud utilization empowered Exist to offer clients more tailored solutions, aligning with their specific needs and requirements.

Exploring the Pros and Cons of Cloud Adoption

Dennis’ insightful discussion on cloud adoption stages and their associated pros and cons highlighted the evolving nature of cloud technology. While each stage offered distinct advantages and challenges, cloud adoption Figure 3, marked by innovation in infrastructure and data management, serves as the solution to address the shortcomings of earlier stages.

As organizations continue to embrace the cloud, they must recognize the need for ongoing innovation to optimize their operations fully. By investing in cutting-edge technologies and data management strategies, they can harness the true potential of cloud adoption while minimizing its drawbacks. In this dynamic technological landscape, innovation is not just a choice but a necessity for organizations seeking to thrive in the cloud-centric future.

Benefits of Embracing Cloud and Data Federation

Exist’s Vice President for Technology Jonas Lim presented the benefits of Cloud Data Federation – including enhanced collaboration, efficiency, and decision-making. Implementing this approach provides a centralized data view, leading to informed decisions and increased competitiveness for businesses.

Data/Database Modernization: The Key to Business Excellence

Dennis and Jonas also highlighted the potential for data management to speed up innovation and growth, as they explained the significance of adapting to evolving data landscapes and leveraging modern technologies.

The Citadel of Security: Safeguarding Data Heritage

With the fast modernization of data, security became a crucial point of discussion, with a focus on protecting sensitive data. Dennis enlightened Sun Life Spark Innovation Series’ attendees about comprehensive security measures and compliance frameworks by simplifying security and making it more effective.

Dennis also explained the importance of “zero trust policy” by protecting assets anywhere with central policy. Implementing this approach provides a centralized data view, leading to informed decisions and increased competitiveness for businesses.

Moving Forward – Sun Life Spark Innovation Series Takeaways

The discussion at Sun Life Spark Innovation Series came to a close with the floor being opened to the audience for questions. Attendees left with a key takeaway: that as the world continues to evolve and as the need for new technologies increase, Exist marches on, providing solutions to help its customers thrive – demonstrating its continued commitment to drive growth and innovation for the years to come.

Befriending Your Data in 2021, Java, Java Philippines
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Befriending Your eye-opening Data in 2021
Befriending Your eye-opening Data in 2021 768 487 Exist Software Labs

It’s the new year and everybody is still living in the wake of the COVID-19 pandemic. We all need a friend in times of trouble and this is no different in the case of business organizations.

This year, 2021, the friend that your company needs more than ever, especially in these trying times, is data.

Given the disruption that this virus caused in the preceding year, enterprises need to start (if they haven’t already) befriending their own internal data, and perhaps external data as well if they are to at least stay viable and at most grow.

The following are some insights from respected data management leaders on how to make friends with your data this year:

  • Eran Vanounou, CEO at Varada

    “Data warehouses are not going to disappear. Data warehouses will continue to be an important legacy technology that organizations will use for mission-critical business applications well into the future.

    With the transition to the cloud, data warehouses got a fresh new look and offer some modern attractive capabilities including self-service and serverless.

    With the rise of the cloud, data lakes are the new kid on the block. Data lakes are becoming a commodity, a legacy technology in their own right. Their rapid emergence from the innovation stage means two things going forward.

    First, organizations will demand simpler, easier to manage, and more cost-effective means of extracting usable business intelligence from their data lakes, using as many data sources as possible.

    Second, those same organizations will want the above benefit to be delivered via tools that do not lock them into proprietary data management platforms.

    In short, 2021 will begin to see the rapid introduction and evolution of tools that allow users to keep their data lakes in one place and under their control while driving performance up and cost down.”

  • Paige Roberts, Open-Source Relations Manager at Vertica

    “Distributed analytical databases and affordable scalable storage are merging into a single new thing called either a unified analytics warehouse or a data lake house depending on who you’re talking to.

    Data lake vendors are scrambling to add ACID capabilities, improve SQL performance, add governance, resource management, security, lineage, and all the things that data warehouse vendors have been perfecting for the last three or four decades.

    During the ten years, while data lake software has been coalescing, analytical databases have seen their benefits and added them to their existing stacks: unlimited scale, support for widely varied data types, fast ingestion of streaming data, schema-on-read, and machine learning capabilities.

    Just like a lot of things used to claim to be cloudy before they really were, some vendors will claim to be a unified analytics warehouse when they’ve just jammed the two architectures together into a complicated mess, but everyone is racing to make it happen for real.

    I think the data warehouse vendors have an unbeatable head start because building a solid, dependable analytical database like Vertica can take ten years or more alone.

    The data lake vendors have only been around about ten years, and are scrambling to play catch-up.”

  • Raj Verma, CEO at SingleStore

    “One single SQL query for all data workloads

    The way forward is based not only on automation but also on how quickly and widely you can make your analytics accessible and shareable.

    Analytics gives you a clear direction of what your next steps should be to keep customers and employees happy, and even save lives. Managing your data is no longer a luxury, but a necessity–and determines how successful you or your company will be.

    If you can remove the complexity or cost of managing data, you’ll be very effective.

    Ultimately, the winner of the space will take the complexity and cost out of data management, and workloads will be unified so you can write one single SQL query to manage and access all workloads across multiple data residencies.”

  • Prat Moghe, CEO at Cazena

    “Expect more enterprises to declare the battle between data lakes and data warehouses over in 2021 – and focus on driving outcomes and modernizing.

    Data warehouses can continue to support reporting and business intelligence, while modern cloud data lakes support all analytics, AI and ML enablement far more flexibly, scalably, and inexpensively than ever – so enterprises can go transform quickly.

    Cloud migrations and related cloud data lake implementations will get demonstrably faster and easier as DIY approaches are replaced by turnkey SaaS platforms.

    Such solutions will slash production cloud data lake deployment times from months to minutes while controlling costs and providing the continuous operations, security and compliance, AI and ML enablement, and self-service access required for modern analytics initiatives.

    That means that migrations that used to take 9-12+ months are complete in a fraction of the time.”

  • Adi Paz, CEO at GigaSpaces Technologies

    “Co-locating analytics and operational data results in faster data processing to accelerate actionable insights and response times for time-sensitive applications such as dynamic pricing, hyper-personalized recommendations, real-time fraud and risk analysis, business process optimization, predictive maintenance, and more.

    To successfully deploy analytics and ML in production, a more efficient Data Architecture will be deployed, combining OLTP (CRM, ERP, billing, etc.) with OLAP (data lake, data warehouse, BI, etc.) systems with the ability to build the feature vector more quickly, and with more data for accurate, timely results.”

To summarize the various points made by these industry pundits:

1

SQL-driven data warehouses are here to stay and will continue to be the data analytics platform of choice for enterprises in the current year.

2

Data management platforms that integrate well with existing data lakes will dominate as opposed to platforms that focus on one or the other.

3

Data management platforms that have built-in AI/ML functionalities will dominate as well, as this eliminates the cost and complexity of separate AI/ML analytics platforms.

4

Data management platforms that are cloud-ready will also have an edge over those that are not.

Is there a data management platform that possesses all these qualities and has a proven track record in Fortune 500 companies?

Yes, there is. It’s called Greenplum. Read about it here.

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