How to join GTmetrix and Parquet File
Discover how to join GTmetrix with Parquet File for integrated analysis.
WITH PIPES OR PIPES PROFESSIONAL
WITH THE LOGICAL DATA WAREHOUSE
GTmetrix provides insights on how well a client's website loads and delivers actionable recommendations on how to optimize the site's performance. Therefore GTmetrix can be used to develop a more efficient, faster, and all-around improved website experience for the users.
About Parquet File
Apache Parquet is an open-source data repository of the Apache Hadoop ecosystem. It is comparable to the other columnar storage formats RCFile and Optimized RCFile available in Hadoop. It is compatible with most data processing frameworks in the Hadoop environment. It provides efficient data compression and encryption systems with improved performance for processing complex data in large volumes.
What is Data Virtuality?
Data Virtuality enables companies to build an agile BI stack in 1 day. It connects to GTmetrix, Parquet File and more than 200 other databases and cloud services. All connected data sources can be directly queried with SQL and data can be moved into any analytical database. Customers of the Data Virtuality Logical Data Warehouse are digital businesses with the highest flexibility needs.
IMMEDIATE DATA ACCESS
Connect over 200+ databases, cloud services and files (XML, CSV, etc.) in minutes. Query data directly with your favourite business intelligence and analysis tools.
CENTRAL DATA MODEL
Build your single source of data truth and set uniform definitions for your data. Connect your business intelligence tools to Data Virtuality and make sure everyone in your organisation works with the right data.
ALL IN SQL
With Data Virtuality you can query all data sources with SQL regardless of the file format. NoSQL, CSV or XML File: We transform any connected data source in SQL.
Data Virtuality controls the exchange of data between all databases, cloud services, and analysis tools to help everyone in your organization get the right information, in real-time if needed.