Cloud Transformation
Migrating from Azure Data and AI Stack to Microsoft Fabric: A practical overview
As the landscape of data platforms continues to evolve, Microsoft has introduced Microsoft Fabric as a comprehensive solution for data integration, analytics,…
Cloud data modernization for business growth: Insights from industry leaders
Srinath Reddy B Head of Data Platforms & Engineering at Dun & Bradstreet Mayur Rustagi CTO and Co-Founder at Sigmoid According…
Implementing data products and Data Mesh on Microsoft Fabric
Microsoft Fabric is an end-to-end analytics and data platform designed to unify various data services into a single, cohesive environment. In this…
3 data and analytics trends shaping the MedTech industry
In the MedTech industry, one of the key challenges lies in balancing cutting-edge advancements with the practical realities of cost, regulation, and…
Best practices for faster development of data pipelines on Databricks using dbx
The efficient development of data pipelines is critical for businesses to extract actionable insights from their data. Inefficient data pipelines can result…
Sigmoid’s 7 step approach for big data project success
A scoping exercise is the holy grail of your data project success be it Data Science, Product, or Data Engineering. In our…
Defining the right data analytics KPIs to drive business success
Business leaders often find it challenging to determine the right success metrics to assess the impact of Data and Analytics(D&A) programs. A…
Creating a single source of truth for banks to accelerate productivity and customer satisfaction
The digital revolution has created a huge influx of data across the banking industry in terms of payments, online transactions, loans, and…
3 key components of a data analytics strategy for internal data monetization
Companies across industries are making data monetization an important part of their strategy to drill down the data and crunch it to…