Blog - Page 18

Data Engineering22 Jan

Create declarative ETL pipelines in Databricks with Delta Live Tables

Delta Live Tables brings declarative ETL pipelines to Databricks: you define the target data state, DLT handles orchestration, quality and monitoring.

Mikolaj Klepacz

DevOps22 Jan

Customizing Large Language Models for Enhanced Business Operations

Discover how customizing Large Language Models (LLMs) on proprietary data can enhance business operations, improve efficiency, and provide a competitive edge.

Krzysztof KacprzakChief Technology Advisor

Cyber Security22 Jan

Cybersecurity Analytics – what is it? Benefits and importance

Cybersecurity analytics uses data analysis and machine learning to detect, investigate and prevent threats, and helps businesses meet compliance needs.

Cyber Security22 Jan

Data Lake Architecture – what is its purpose and how do you design it?

Learn how data lakes store and process big data, their layers, benefits, and how they enable advanced analytics and machine learning for business innovation

Data Engineering22 Jan

Data Pipeline definition - design and process

What a data pipeline is, the main pipeline types, and the design principles and development approaches that turn raw data into usable business information.

Maciej Pomiklo

Data Science22 Jan

Machine Learning in Predictive Analytics: A Practical Guide

Machine learning in predictive analytics turns raw data into reliable forecasts. See how models anticipate demand, churn, and risk before they happen.

Jakub Grabski

Cyber Security22 Jan

Data stores – the best ways to store data

Choosing the right data store shapes both performance and cost. Compare relational, NoSQL, and object storage, then match each type to your workload.

Data Engineering22 Jan

Database vs. Data Warehouse – how data warehousing solutions evolved?

Databases run daily transactions, while data warehouses power analytics and reporting. How they differ, how warehousing evolved, and why you need both.

Data Engineering22 Jan

Databricks testing with GitHub Actions

How to run Databricks integration tests from GitHub Actions through the Jobs API, handle tokens securely and deploy only code that passed validation.

Przemek Matejczuk

Data Science22 Jan

Declarative vs Scripted Pipeline – Key differences

Declarative vs scripted pipeline in Jenkins: compare syntax, flexibility, and use cases to pick the right approach for your CI/CD workflow.

Laura Kszczanowicz

Artificial Intelligence22 Jan

Decoding ChatGPT: Unveiling its Impact Across Software Engineering Realms

Explore ChatGPT's impact on software engineering, from code generation to workflow optimization, highlighting strengths, challenges, and future possibilities.

Krzysztof KacprzakChief Technology Advisor

DevOps22 Jan

Docker -what is it and how to containerize Python code

What Docker is and how to containerize Python code, so your app ships with all its dependencies and runs the same way on any machine without setup errors.