BIG DATA

How To Replicate Data Habitual Patterns In 2023

Russian companies have been building analytics systems mainly using global products for a long time. This determined the architecture of…

2 years ago

Impact Of Big Challenges On The Russian Big Data Market: Expert Opinions

Moving to the cloud and using open-source Changes in the IT market have affected the plans of companies to work…

2 years ago

Impact Of Not Preparing Processes For Kubernetes Deployment

Development needs to be adapted for Kubernetes, first implement DevOps processes that affect all code development. And when companies adopt…

3 years ago

Kubernetes – Process Of Preparing For Migration

Regardless of the starting point for migrating to Managed Kubernetes, there is a general list of steps recommended to be…

3 years ago

An Operational Checklist For Redis In Kubernetes

We translated the checklist for running Redis inside a Kubernetes cluster. It is worth familiarizing yourself with it before moving…

3 years ago

Big Data Technologies: How Big Data Is Analyzed To Get Maximum Profit

Big data is not enough to collect - it needs to be used somehow, for example, to make forecasts of…

3 years ago

Six Takeaways About Kubernetes: What Companies Care About When Implementing This Tool

The challenges of scaling increased uptime and Kubernetes Edge are some of the companies' challenges. In 2019, the KubeCon +…

3 years ago

How And Why “Auchan” Built A Platform For Working With Big Data In A Public Cloud

Modern retail can no longer do without building predictive and recommendation systems based on Big Data.But with large amounts of…

3 years ago

Pros And Cons Of AirFlow

Most often, the following advantages of AirFlow: Open-source: AirFlow is supported by the community and has well-documented documentation. Based on…

3 years ago

AirFlow: What It Is, How It Works

Data processing in information systems is divided into three stages: extraction, transformation, and loading (Extract Transform Load, ETL). In solutions…

3 years ago