data-analytics

Appcues cut P95 query times 90%, ingestion latency 99%, and analytics spend 23% by migrating from Snowflake and Airflow to ClickHouse Cloud for real-time segmentation across 1.31 PB of data.

Stream data from Pub/Sub in a few clicks for blazing-fast analytics over GCP infrastructure logs, application events, and operational signals. No routing through GCS or Dataflow required.

Around any good database sits the clients you import, the dashboards your team shares, the pipelines that feed it, the projects that build on top of it, and now the agents that query it.

Open Electricity migrated ~1 billion rows of Australian energy data from Postgres and TimescaleDB to ClickHouse, achieving 92x faster queries on a fraction of the hardware.

Cisco Talos runs a threat intelligence reputation service on ClickHouse Cloud, classifying file hashes so researchers can make fast, accurate security decisions.

Traffic safety and mobility remain critical challenges for modern transportation systems. The emergence of connected vehicle (CV) data offers unprecedented opportunities to capture microscopic, non-aggregated driving dynamics to support precise and finer-grained traffic safety and mobility research. This dissertation develops a comprehensive CV data–driven analytical framework to advance traffic …

Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights. The post Data Formulator 0.7: AI-powered data analytics for enterprise data appeared first on Microsoft Research .

Introduction A couple of weeks ago, I built a full-stack mobile and AI-powered supply chain optimization app designed to simulate the real world. The goal of the project was to build an intelligent system that combines: Mobile development Backend engineering Data analytics Machine learning into a single production-style architecture. The platform built with React Native (Expo + TypeScript) Zustan…

IntroductionDigital transformation has reshaped human talent management, with Artificial Intelligence (AI) and Data Analytics emerging as key tools for optimizing recruitment, retention, performance evaluation, and employee development. Despite growing interest, the literature remains fragmented across technical, managerial, and ethical perspectives. This study provides an integrated bibliometric…

What is Python? Python is a programming language used to tell computers what to do. It is popular because it is easy to read and write, making it beginner-friendly. Python can be used to build websites, automate tasks, analyze data, and create machine learning applications. One of the reasons Python is widely used is because it is versatile. Instead of being limited to one area, it can be applied…

At Penn State Great Valley’s annual student research poster competition, students presented a variety of projects to faculty and guests. The three winning posters focused on a job posting data pipeline for management research, a multi-agent system to automate data science tasks for non-data scientists and reinforcement learning for optimized urban energy harvesting.

_Data Analytics Forum_. 2021Modern enterprises increasingly depend on unified data platforms that integrate data ingestion, cloud computing, AI/ML pipelines, and business intelligence across heterogeneous environments. This paper analyzes multi-cloud data integration architectures spanning AWS, Azure, GCP, BigQuery, and Snowflake, evaluating their suitability for healthcare, FinTech, and retail a…

Langfuse uses ClickHouse Cloud to power real-time observability and analytics for complex, agentic LLM applications at scale. Migrating from Postgres to ClickHouse Cloud cut query latency from minutes to near real-time while supporting rapidly growing ingestion volumes. An upcoming shift to immutable, wide-table modeling reduces memory usage by 3x and results in 20x faster analytical queries. Sum…

Chartmetric uses ClickHouse Cloud to deliver real-time analytics on billions of rows of music, playlist, and engagement data. They migrated from Postgres and Snowflake to improve speed and reduce storage; queries now run 10-15x faster at much lower cost. Today, ClickHouse powers a 5.5B-row playlist cache that ingests 15M+ new rows daily, plus LLM-facing queries using batched WHERE + IN filters an…

If you’ve ever wondered about the difference between these two roles, you’re not alone. The conversation around data analytics vs data engineering is becoming more common, especially as careers in data continue to grow. While the terms might sound similar, they represent two very different parts of the data process. One focuses on analyzing and […]

In today’s fast-paced digital world, a career in data analytics has become one of the most exciting and rewarding paths for those who enjoy working with numbers, solving real-world problems, and making sense of information. With the right mix of curiosity, dedication, and skill-building, anyone—from fresh graduates to mid-career professionals—can break into this field and […]

Proxy servers are no longer just technical jargon thrown around in IT departments — they are pivotal tools in the arsenal of data-driven professionals. When it comes to collecting statistics and conducting analytics at scale, proxies are like secret passageways that give you safe, consistent, and reliable access to the data you need. Whether you’re […]

In today’s data-driven world, learning the best data analytics tools can give your career a real boost. Whether you’re just starting out or already working in the field, the right tools can help you understand data better, make smarter decisions, and stand out from the crowd. But let’s be honest—there are a lot of tools […]

Supply chain management (SCM) is an area that has grown more challenging than ever previously imagined due to globalization and fast increasing world economy. It can be seen that data analytics has now become a promising tool for raising company efficiency, improving decision making and predicting changes in markets. As large volumes of data are […]

Understanding the Foundations for AI and Advanced Retail Analytics Help your retail organization follow a clear path to data-driven success. Download our slides and discussion script to guide your organization’s approach with our proven 4-step model. Get the Slides More Videos in the Data and Analytics Series Where does AI fit in the current retail landscape? What kind of AI ... Read More The pos…