Cloud Transformation
Automate data ingestion to enable near real-time access to insights
CPG Companies across the globe are looking to get more insights into the latest sales trends from their retailers, to make informed…
5 tips for preparing resume for a Data Engineering interview
Data engineering is a highly specialized field. From distributed computing to building data pipelines, data engineering requires multidisciplinary skills. The term data…
DataOps: 5 things that you need to know
DataOps (Data Operations) has assumed a critical role in the age of big data to drive a definitive impact on business outcomes….
Top data and analytics trends for 2021
Over the past several years, organizations have progressively embraced data analytics as a solution enabler when it comes to optimizing costs, increasing…
Data Science and Cloud – The future of analytics
The number of devices connected through the Internet of Things (IoT) is increasing rapidly. Statista estimates that there will be about 50…
Microservices-based architecture: Key to scaling enterprise ML models
The last decade has seen wholesome innovations in the field of artificial intelligence and machine learning (AI/ML). Today, progressive enterprises are increasingly…
Comparison of ML platforms in an evolving market
The Evolution of the MLaaS Market The Machine Learning as a service (MLaaS) market is booming. It is expected to grow to…
How to use MLOps for an effective AI strategy
87% of machine learning projects fail to make it into production. Deploying ML models in business use cases involves working around several…
9 things you need to know about microservices
The rise of microservices The chart below clearly shows that microservices have been trending since 2015. This is because the arrival of…