CSViewer Integrations

Microsoft Excel is the industry-standard spreadsheet application that helps users organize, analyze, and visualize data with precision and power. Whether you’re managing budgets, tracking performance, or analyzing complex datasets, Excel simplifies every task with intuitive tools and intelligent automation. With Copilot, you can now ask Excel to write formulas, summarize data, or create visualizations—all powered by AI. From basic spreadsheets to advanced financial modeling, Excel adapts to your skill level and workflow. Its cloud collaboration through Microsoft 365 lets multiple users edit, share, and comment in real time from any device. With flexible templates, built-in charts, and cross-platform integration, Excel turns numbers into insights you can act on.

Create and collaborate on online spreadsheets in real-time and from any device. Establish a ground truth for data in your online spreadsheet, with easy sharing and real-time editing. Use comments and assign action items to keep analysis flowing. Assistive features like Smart Fill and formula suggestions help you analyze faster with fewer errors. And get insights quickly by asking questions about your data in simple language. Sheets is thoughtfully connected to other Google apps you love, saving you time. Easily analyze Google Forms data in Sheets, or embed Sheets charts in Google Slides and Docs. You can also reply to comments directly from Gmail and easily present your spreadsheets to Google Meet.

Many people use Excel, or VBA/Python scripts, or SQL queries for data preparation because they are not aware of better alternatives. EasyMorph is a purpose-built application with more than 150 built-in actions for fast and visual data transformation and automation without coding. With EasyMorph, you can walk away from obscure scripts and cumbersome spreadsheets, and bring your productivity to a whole new level. Retrieve data from databases, spreadsheets, emails and email attachments, text files, remote folders, corporate and cloud applications (e.g. SharePoint), and web (REST) APIs without programming. Use visual queries and tools to filter and extract exactly the data you need without asking the IT guys. Automate your routine operations with files, spreadsheets, websites and emails without writing a single line of code. Replace tedious repetitive tasks with a single button click.

We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested namespaces. Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented. Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites.