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Best Practices for Data Ingestion with Snowflake: Part 3 

Snowflake

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake. What is Snowpipe Streaming?

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Internal services pipeline in Analytics Platform

Picnic Engineering

In the “Picnic Analytics Platform: Migration from AWS Kinesis to Confluent Cloud” we described why and how we migrated from AWS Kinesis to Confluent Cloud. This time we will dive into how we configure our internal services pipeline. The data is loaded into Snowflake, Picnic’s single source of truth Data Warehouse (DWH).

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Benchmarking Elasticsearch and Rockset: Rockset achieves up to 4X faster streaming data ingestion

Rockset

In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. For this benchmark, we evaluated Rockset and Elasticsearch ingestion performance on throughput and data latency.

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100+ Kafka Interview Questions and Answers for 2023

ProjectPro

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

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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. What is Kafka? It offers high throughput, low latency, and scalability that meets the requirements of Big Data.

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Streaming Edge Data Collection and Global Data Distribution

Cloudera

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. In this second installment of the Universal Data Distribution blog series, we will discuss a few different data distribution use cases and deep dive into one of them. .

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Scylla and Confluent Integration for IoT Deployments

Confluent

The internet is not just connecting people around the world. Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. How many devices will be creating information? How many devices will be creating information?

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