article thumbnail

A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

article thumbnail

SQL and Complex Queries Are Needed for Real-Time Analytics

Rockset

Complex SQL queries have long been commonplace in business intelligence (BI). And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. Flexible schemas that can adjust automatically based on the structure of the incoming streaming data.

SQL 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Finnhub API with Kafka for Real-Time Financial Market Data Pipeline Project Overview: The goal of this project is to construct a streaming data pipeline by making use of the real-time financial market data API provided by Finnhub.

article thumbnail

Joining Streaming and Historical Data for Real-Time Analytics: Your Options With Snowflake, Snowpipe and Rockset

Rockset

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications. What’s Needed for Real-Time Analytics? These real-time, user-facing applications include personalization , gamification or in-app analytics.

Kafka 52
article thumbnail

Comparing ClickHouse vs Rockset for Event and CDC Streams

Rockset

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps.

MySQL 52
article thumbnail

Turning Streams Into Data Products

Cloudera

Faster data ingestion: streaming ingestion pipelines. Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. .

Kafka 88
article thumbnail

The Rise of Streaming Data and the Modern Real-Time Data Stack

Rockset

Lifting-and-shifting their big data environment into the cloud only made things more complex. The modern data stack introduced a set of cloud-native data solutions such as Fivetran for data ingestion, Snowflake, Redshift or BigQuery for data warehousing , and Looker or Mode for data visualization.