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Getting Started with Rust and Apache Kafka

Confluent

We’ll also take a look at some performance tests to see if Rust might be a viable alternative for Java applications using Apache Kafka ®. In this case, that means a command is created for a particular action, which will be assigned to a Kafka topic specific for that action. On May 15, 2015, the Core Kafka team released version 1.0

Kafka 18
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Kafka Connect Deep Dive – JDBC Source Connector

Confluent

One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Here, I’m going to dig into one of the options available—the JDBC connector for Kafka Connect. Introduction.

Kafka 89
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Staying in the Zone: How DoorDash used a service mesh to manage  data transfer, reducing hops and cloud spend

DoorDash Engineering

Storage traffic: Includes traffic from microservices to stateful systems such as Aurora PostgreSQL, CockroachDB, Redis, and Kafka. This led us to use a number of observability tools, including VPC flow logs , ebpf agent metrics , and Envoy networking bytes metrics to rectify the situation.

Bytes 84
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BPFAgent: eBPF for Monitoring at DoorDash

DoorDash Engineering

We also have an unmarshalling function to convert the raw bytes from the kernel into our structure. sk) { return 0; } u64 key = (u64)sk; struct source *src; src = bpf_map_lookup_elem(&socks, &key); When capturing the connection close event, we include how many bytes were sent and received over the connection.

Bytes 84
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Why You Should Learn Data Engineering

Dataquest

quintillion bytes of data, and the immensity of today’s data has made data engineers more important than ever. It’s Rewarding Making data scientists’ lives easier isn’t the only thing that motivates data engineers. There’s no denying that data engineers are making a significant and growing impact on the world at large. Every day, we create 2.5

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Top 100 Hadoop Interview Questions and Answers 2023

ProjectPro

Structured data: Schema-based data, Datastore in SQL, Postgresql databases etc Semi-structured data : Json objects , json arrays, csv , txt ,xlsx files,web logs ,tweets etc Unstructured data : Audio, Video files, etc FREE eBook on 250 Hadoop Interview Questions and Answers 6. RowKey is internally regarded as a byte array.

Hadoop 40
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Understanding Change Data Capture (CDC) in MySQL and PostgreSQL: BinLog vs. WAL + Logical Decoding

Towards Data Science

How CDC tools use MySQL Binlog and PostgreSQL WAL with logical decoding for real-time data streaming Photo by Matoo.Studio on Unsplash CDC (Change Data Capture) is a term that has been gaining significant attention over the past few years. Is the process of pulling logs from MySQL and PostgreSQL the same?