Experts Discuss Key Capabilities for Real-Time Analytics in DBTA Webinar

The ability to act quickly on information to solve problems or create value has long been a goal for many companies.

However, until recently when new technologies emerged, the requirements for speed and scalability of real-time analytics could be technically and cost-effectively addressed by organizations at scale.

Today, nearly half of DBTA subscribers seek real-time data capabilities to support a wide variety of use cases, from just-in-time dashboards and reports, to fraud detection and sophisticated IoT decision-making engines.

The DBTA held an online panel discussion featuring Anais Dotis-Georgiou, Developer Advocate, InfluxData and Rob Hedgpeth, Director of Developer Relations, MariaDB, to educate IT and business stakeholders on the key potential for success using real-time analytics.

Dotis-Georgiou explained that a time series is a series of data points indexed (or listed or graphed) in chronological order. Time series can be found in:

  • IoT Monitoring
  • DevOps monitoring
  • Business Analysis
  • finance
  • Medicine, biotechnology and healthcare
  • Farming
  • selling by pieces

The TSDB platform should enable real-time time series analytics by enabling you to successfully collect, process and write large amounts of data; handling extremely large amounts of ingestion; Be able to support a lot from the analytics server side to increase performance; Reduce the complexity of your data analytics pipeline to allow you to focus on gaining insights from your data; Support a variety of visualizations.

MariaDB sets the standard for open source relational databases, with Oracle Database compatibility (for example, sequences and PL/SQL), schedules, transparent hashing, instant schema changes, backtracking in time, and modern SQL (for example, table expressions). common (CTE), window functions, JSON functions and more), according to Hedgpeth.

MariaDB also includes storage solutions like ColumnStore, which can be used to work with massive amounts of data to provide real-time analytics at scale, and even a distributed SQL solution, MariaDB Xpand.

An on-demand archived replay of this webinar is available here.

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