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- Automated schema change handling, data normalization and more
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Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.
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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Opsgenie is a cloud-based incident management and alerting platform that helps organizations quickly respond to and resolve critical issues. It provides a centralized location for managing alerts from various sources, such as monitoring tools, applications, and infrastructure. Opsgenie offers customizable alerting rules, on-call schedules, and escalation policies to ensure that the right people are notified at the right time. It also provides real-time collaboration and communication tools to help teams work together to resolve incidents. With Opsgenie, organizations can improve their incident response times, reduce downtime, and ultimately deliver better customer experiences.
For huge analytical tables, Apache Iceberg is a high-performance format. Using Apache Iceberg, engines such as Spark, Trino, Flink, Presto, Hive and Impala can safely work with the same tables, at the same time, providing the reliability and simplicity of SQL tables to big data. With Apache Iceberg, you can merge new data, update existing rows, and delete specific rows. Data files can be eagerly rewritten or deleted deltas can be used to make updates faster.
Opsgenie's API provides access to a wide range of data related to incident management and alerting. The following are the categories of data that can be accessed through the API:
1. Alerts: Information related to alerts generated by monitoring tools or other sources, including the alert ID, source, message, priority, and status.
2. Integrations: Details about the integrations set up in Opsgenie, including the integration ID, name, type, and configuration.
3. Users: Information about the users in the Opsgenie account, including the user ID, name, email address, and role.
4. Teams: Details about the teams in the Opsgenie account, including the team ID, name, and members.
5. Escalation policies: Information about the escalation policies set up in Opsgenie, including the policy ID, name, and rules.
6. Schedules: Details about the schedules set up in Opsgenie, including the schedule ID, name, time zone, and on-call rotations.
7. Incidents: Information related to incidents created in Opsgenie, including the incident ID, summary, description, and status.
8. Reports: Data related to reports generated in Opsgenie, including the report ID, name, type, and parameters.
Overall, Opsgenie's API provides access to a comprehensive set of data that can be used to manage incidents and alerts effectively.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
