Low-Code and No-Code Tools: Accelerating Development and Design
Low-code and no-code platforms let teams build websites and apps without deep programming skills. How they work, where they help, and their main limits.
Blog - Page 22
Maximize Efficiency: Automate Your Processes with Data Engineering
How data engineering automates business processes: pipelines, storage, and transformation that enable real-time analytics, plus steps to implement it.
DS Stream
Microservices in Data Engineering: How to Break a Monolith into Smaller Parts
Discover how microservices revolutionize data engineering by replacing monolithic systems, boosting scalability, flexibility, and deployment efficiency.
Microsoft Azure vs Google Cloud: Pricing and Services
Microsoft Azure vs Google Cloud Platform compared: pricing models, service integration and billing, and which one fits complex multi-system setups.
Tomasz Wiszniowski
Modern business challenges – what are the security risks of cloud computing?
Cloud providers secure their platforms, but risks remain. The main security risks of cloud computing and the precautions to take with sensitive data.
Pawel Jedrzejewicz
Modern data transformation with dbt, re_data and Airflow
Specialized tools in place of monoliths: how dbt, re_data, and Airflow support modern data transformation with iterative development and testing.
Robert Michalak
Modern fraud detection – machine learning algorithms for your business security
Machine learning algorithms help companies spot and prevent fraud. How modern fraud detection works and how to use ML to protect your business resources.
Motion UI - More Dynamic App Content
Motion UI uses animation and transitions to make app content more dynamic. What motion UI is, how it affects your app, and where it fits in the design.
Open Source vs. Closed Source in Language Models: Pros and Cons
Explore the pros and cons of open and closed source LLMs, comparing flexibility, customization, resources, and transparency for AI project implementation.
OpenShift vs Kubernetes – overall comparison
OpenShift vs Kubernetes: how the two container orchestration platforms compare, where they differ, and which one fits your production workloads.
Tomasz Stachera
Optimizing Apache Spark
Speed up Apache Spark jobs with efficient file formats, smart partitioning, data skew fixes, caching, and careful use of UDFs. Practical tips for big data.
Marcin Orliński
Overview of Google Cloud Capabilities for Building Efficient ETL Pipelines
How to build ETL pipelines on Google Cloud, using Cloud Storage and BigQuery to extract, transform, and load data in secure, cost-efficient workflows.
