Hadoop was widely adopted for its ability to manage both unstructured and structured data through a range of toolsets such as HDFS, HBase, Hive, Sqoop, Oozie, Pig, Spark. However, each tool operates independently, often requiring its own coding expertise. This lack of integration not only complicates maintenance processes but also hinders agility in system enhancements.… Continue reading Accelerate migration from hadoop to GCP BigQuery with 80% less manual efforts
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Accelerating the data modernization journey from Teradata to Azure Synapse analytics
The architecture of analytic data platforms has evolved over the years, progressing from a simple data repository to a data warehouse, then to a data lake, and further evolving into lakehouse and data mesh architectures. Data management has expanded to include the handling of unstructured data, such as documents, media files and streaming data. Modern… Continue reading Accelerating the data modernization journey from Teradata to Azure Synapse analytics
Surfing the generative AI wave
A monumental shift is underway powered by applied generative AI. These disruptive technologies, once considered tools of tomorrow, are driving tremendous value for global trailblazers today. Ascendion is helping organizations capitalize on generative AI’s potential both for quick wins and lasting competitive edges. Many business and technology leaders struggle to navigate these uncharted waters. But… Continue reading Surfing the generative AI wave
How Ascendion is applying GenAI to our own operations
It’s probably safe to say you wouldn’t trust a chef who refused to eat their own food. Similarly, if a business doesn’t use its own products, why should you? At Ascendion, we know that we can trust our own software, so we use it for our own operations. Most companies are trying to adapt to… Continue reading How Ascendion is applying GenAI to our own operations
Antiques are valuable but not if it’s your technology platform
While antiques are valued for age and history, a modern business tech platform shouldn’t be a historical artifact. Holding on to an aging mainframe can cost dearly in many ways from maintenance costs to not delivering business requirements. According to Forrester, 75% of businesses say that their current platforms are not meeting their needs. Rigid,… Continue reading Antiques are valuable but not if it’s your technology platform
Gen AI: The new best friend for wealth management
Gen AI promises to usher in a new age of possibilities, reshaping the very fabric of financial advisory and investment strategies. This advanced technology can make financial decisions more efficient, personalized, and immersive. Opportunities in this space outweigh the challenges. Demand is growing for real-time, customized financial advice. At the same time, access to global… Continue reading Gen AI: The new best friend for wealth management
Monoliths vs microservices in gaming architecture: striking the right balance
In the ever-evolving landscape of game development, architectural decisions are pivotal to achieving optimal performance, scalability, and maintainability in gaming applications. Among these decisions, the choice between monolithic and microservices architectures stands as a central debate. Let’s dive into the world of Monoliths vs Microservices in Gaming Architecture, as we explore a compelling problem statement… Continue reading Monoliths vs microservices in gaming architecture: striking the right balance
Transforming businesses through Gen AI: Planning and overview
Generative AI adoption is the buzzword for businesses currently. While from a technology perspective, it is redefining the way we operate, enterprises are slowly navigating through the challenges and complexities in its adoption. Gen AI would be ineffective without roadmap and usability testing. All decision makers, technology leaders and change managers, must focus on understanding… Continue reading Transforming businesses through Gen AI: Planning and overview
Ethical management in the adoption of Gen AI: A guide
Generative AI – every business wants to adopt it, but very few of them are sure of it. The most common question that every enterprise has – how safe is my data? How to ethically manage gen AI? What can I do to minimize risk in data security and vulnerabilities with generative AI development? As… Continue reading Ethical management in the adoption of Gen AI: A guide
A comprehensive framework for assessing and evaluating GenAI implementation
By 2026, more than 80% of enterprises are expected to use GenAI apps or models or deploy them in production. A huge jump from a mere 5% this year! (Source: Gartner) GenAI offers clear near-term and long-term benefits from productivity boost to automation, cost savings and more. Businesses must work with experts to identify how… Continue reading A comprehensive framework for assessing and evaluating GenAI implementation