Digital Architecture Conclave

Submitted by Uddipan on Mon, 03/13/2023 - 16:46

Enterprises are innovating to deliver competitive advantage by systematically developing capabilities in Business Architecture, Cloud Architecture, D&A Architecture, IoT/Blockchain architecture to name a few. There has never been a more exciting time to architect innovative solutions. Today, architects must adapt to take advantage of rapidly changing technologies and deliver business value at an ever-increasing pace.

Learning Reimagined: Catalysing GCC’s Transformation

Submitted by admin on Fri, 05/27/2022 - 09:59

The unstoppable combination of scale and value, delivery prowess, and the efficiencies created in the face of insurmountable odds - are the defining factors in this next chapter of the India GCC story. Global Capability Centers (GCCs) have demonstrated resilience in the wake of the pandemic, that ensured not just business continuity but business excellence.

Data Lakes and Analytics on Cloud

Submitted by shivangi on Wed, 12/02/2020 - 18:27

ABOUT THE WEBINAR

For years, companies have dumped data into their data lake and deferred organizing the data until a later period. To make this data useful for modern analytics, the data must be carefully structured and cataloged. And as more data is rapidly introduced, from log files and IoT sources due to volume, velocity, and variety, data must also be structured in the same way in the data lake. Delta Lake on Databricks provides a way to streamline these data pipelines so the data is instantly available for analysis.

Scalable Machine Learning on Big Data using Apache Spark

Submitted by shivangi on Thu, 11/26/2020 - 11:20

About the Webinar:

Predictive Intelligence from Machine Learning (ML) has the potential to change everything in our day to day experiences, from business to leisure – making a huge difference in the way we live, work and play. Most real-world machine learning work involves very enormous – simply huge data sets that go beyond just the CPU, memory, and storage limitations of a single computer. Spark has been the go-to solution for enterprises that have to process extremely large data sets in an efficient and cost-effective manner.

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