Xebia
APRIL 3, 2023
My second run as teacher Enterprise Architecture is near the finishline and still loving it. architecture #enterprisearchitecture #masterofscience Enterprise Architecture – Step 1 – Strategy Enterprise Architecture as a topic is evolving and gaining in interest at various organizations in the Netherlands and abroad.
CIO
FEBRUARY 27, 2024
C R Srinivasan, EVP of cloud and cybersecurity services and chief digital officer at Tata Communications, sees many enterprises “getting more nuanced” with their cloud use and strategies in an effort to balance performance, costs, and security. “As Cloud Computing, Data Center, Edge Computing, Hybrid Cloud, IT Strategy, Multi Cloud
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CIO
NOVEMBER 23, 2022
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.
CIO
NOVEMBER 14, 2023
Although some continue to leap without looking into cloud deals, the value of developing a comprehensive cloud strategy has become evident. Without a clear cloud strategy and broad leadership support, even value-adding cloud investments may be at risk. And it’s never too late for CIOs to reassess their cloud strategies.
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Gain insights into Cassandra's architecture, configuration strategies, and best practices. Learn from Lewis DiFelice, an experienced Professional Services Consultant at Instaclustr, as he shares his journey transitioning from SQL to managing a 40-node Cassandra cluster. Download now and revolutionize your database operations!
CIO
SEPTEMBER 14, 2023
With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture. We found that being architecturally led elevates the customer and their needs so we can design the right solution for the right problem.
CIO
MARCH 4, 2024
Ever-shifting domain-level business logic and architectures add to the workload of overwhelmed central data teams, which results in difficult, misaligned metric reporting and declining data reliability. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.
Speaker: Prem Chandrasekaran
In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. How these strategies can be applied in different size engineering organizations.
Advertiser: Data Robot
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
How to make the right architectural choices given particular application patterns and risks. We will hear about specific use cases where organizations leveraged serverless refactoring, containerization or a combination of both solutions, that resulted in improved performance, availability, and scalability.
Speaker: Naresh Soni, CTO, Tsunami XR
As technology leaders, it's time to rethink some of your product security strategy. Whether you need to rework your security architecture, improve performance, and/or deal with new threats, this webinar has you covered. What methods and architectures you should consider to proactively protect your data.
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Fortunately, a next-gen data architecture enabled by the Dremio data lake service removes the need for replicated data, helping organizations to minimize complexity, boost efficiency and dramatically reduce costs. What to consider when implementing a "no-copy" data strategy.
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
Each panelist will present and discuss actionable strategies for making data as consumable as possible by everyone in the organization and for increasing data velocity for faster insights using a semantic layer. Avoiding common analytics infrastructure and data architecture challenges.
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