Operations | Monitoring | ITSM | DevOps | Cloud

Enabling change data capture from MySQL to Apache Kafka with Debezium

Dec 6, 2023 By Aiven In Aiven
Change Data Capture (CDC) is the process of tracking the changes happening in one or more database table in a source system and propagating them to a target technology. The objective of this video is to create a CDC flow from a source table in a MySQL database to Apache Kafka® via the Kafka Connect Debezium Source connector. Check out these resources to learn more.
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xpolog

Top Data Integration Challenges and How To Overcome Them With PortX

Dec 6, 2023 By XpoLog In XpoLog

In the ever-evolving landscape of data integration and architecture, organizations grapple with many challenges, from controlling exponentially growing observability data to the complexities driven by hybrid clouds, data migrations, integration of new AI/ML services, and the need for swift time-to-market strategies.

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splunk

Data Lake vs. Data Warehouse: Comparing Benefits, Use Cases & Differences

Dec 5, 2023 By Chrissy Kidd In Splunk

There is more data available to us than ever. Storing this data is important — but deciding on the right type of data storage solution is not so clear. This article explores two primary types of big data storage: data lakes and data warehouses. We’ll examine the benefits of each, then discuss the key differences between a data lake and a data warehouse, so you can decide on the best approach for your business.

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What's the Deal with Cardinality and InfluxDB 3.0?

Dec 5, 2023 By InfluxData In InfluxData
High cardinality data presented a challenge to previous versions of InfluxDB, but InfluxDB 3.0 solved that problem. Influxers Jay Clifford and Zoe Steinkamp explain what cardinality is, why high cardinality impacts performance, and how InfluxDB 3.0 eliminates cardinality limits to open up new time series use cases.
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influxdata

Data Lakehouses Explained

Dec 1, 2023 By Charles Mahler In InfluxData
The big data landscape is always changing to solve existing problems and continues to push the boundaries of performance and scale. Data lakehouses are a new architectural pattern that is rapidly gaining popularity by solving a variety of problems seen with previous solutions like data warehouses and data lakes. In this article, you will learn the following.
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