Sigmoid
How a modern data architecture on the cloud ensures data quality and data security for banks
In today’s digital economy, data plays a major role in giving banks a competitive edge. Banks today should be agile, secure,…
Achieving end-to-end Database management with PERCONA XtraDB cluster
Why Percona XtraDb Cluster on Kubernetes? Databases on kubernetes are generally associated with several complexities and DataOps engineers are always on the…
Celebrating 10 years of Sigmoid: Bridging the gap between data and decision-making
Sigmoid’s inception in 2013 was propelled by two ideas primarily: one, every decision can be made better with data and two, every…
How Fintechs can create better data products with data mesh
Financial technology (fintech) companies have grown significantly and disrupted the traditional financial industry in recent years by leveraging innovative technologies and data-driven…
7 essential skills for building a successful career in Data Science
According to the US Bureau of Labor Statistics, data scientist jobs are predicted to increase by 36% between 2021 and 2031. This…
Top 5 data engineering trends for 2023
Over the past decade, Data Engineering has been enabling businesses to gain a competitive edge by providing them with insights in real…
Rehydrate bulk archived data in Azure storage using PowerShell Script
Azure blob storage provides data to be stored in three different tiers for cost optimization related to different use cases. There are…
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…