Latest blog posts by Jakub Mlącki

Data science is revolutionising retail by enabling price optimisation, personalised recommendations, AR experiences, smarter inventory management, and customer sentiment analysis. This article explains key use cases and offers guidance for retailers starting their data science journey.

Unlock the power of Big Data with MapReduce! This Hadoop-based framework processes massive datasets at scale, enabling faster insights for e-commerce, healthcare, and social media analytics.

Big data analytics is transforming industries by enabling smarter decision-making and operational improvements. This article explains the core types of analytics, the 7 Vs of big data, and real-world applications in marketing, banking, and healthcare. It highlights how businesses can leverage big data to gain valuable insights, improve efficiency, and stay competitive in a data-driven world.

Graph databases excel at modelling complex relationships, making them ideal for fraud detection, healthcare analytics, e-commerce recommendations, and social network management. This article explains key use cases and how graph technology can solve real business problems.

Unified data is essential for accurate analytics and business insights. This article explains how merging data from multiple sources into a single platform breaks down silos, improves data quality, and enables better customer understanding. Learn why unified data management is key to business efficiency and competitiveness.

Upgrade your data strategy with a modern data stack! Cloud-based tools offer scalable, cost-effective solutions for storage, processing, and analytics. Stay competitive by leveraging pay-as-you-go models, AI-powered features, and seamless integrations.

Discover the 7 Vs of Big Data—Volume, Variety, Velocity, Variability, Veracity, Visualization, and Value—and learn how they define the challenges and opportunities of managing and analysing massive, complex datasets. This article explains why understanding these dimensions is key to unlocking Big Data’s business potential.