Remove ETL Tools Remove Events Remove Kafka Remove Metadata
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Demystifying event streams: Transforming events into tables with dbt

dbt Developer Hub

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. In the past we relied upon an ETL tool (Stitch) to pull data out of microservice databases and into Snowflake. However, BI tools and dbt models aren’t typically written this way.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

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Turning Streams Into Data Products

Cloudera

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. Today, CSP is powered by Apache Flink and Kafka and provides a complete, enterprise-grade stream management and stateful processing solution. Who is affected?

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From Big Data to Better Data: Ensuring Data Quality with Verity

Lyft Engineering

For example, we can almost instantly validate that each record is well-formed and complete during event generation. Our Analytic Event Lifecycle below demonstrates the workflow of how much of our data gets to Hive. We log these events asynchronously at the order of millions per second.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. Tools often used for batch ingestion include Apache Nifi, Flume, and traditional ETL tools like Talend and Microsoft SSIS. Advanced metadata management.

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Data Vault on Snowflake: Feature Engineering and Business Vault

Snowflake

Snowpipe micro-batch into Snowflake: Either triggered through a cloud service provider’s messaging service (such as AWS SQS , Azure Event notification , or Google Pub/Sub ) or making calls to Snowpipe ’s REST API endpoints. Use Snowflake’s native Kafka Connector to configure Kafka topics into Snowflake tables.

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IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

AltexSoft

The platform provides features for event-based , data-based, and service-based integration styles. While supporting ETL, its enterprise-level edition allows for ELT as well. The prevailing part of users claim that it is quite easy to configure and manage data flows with Oracle’s graphical tools. Data profiling and cleansing.