Cloudera

FEBRUARY 9, 2021

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.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

Knowledge Hut

JUNE 26, 2023

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.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Rockset

JUNE 21, 2022

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

Kafka Data Warehouse BI Analytics Application 52

Rockset

OCTOBER 4, 2022

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

MySQL Kafka Aggregated Data Architecture 52

Rockset

DECEMBER 9, 2021

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.

Transportation 52

Transportation BI SQL Database 52

Cloudera

JUNE 16, 2022

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. . Better yet, it works in any cloud environment.

Kafka 92

Kafka Manufacturing Data Lake SQL 92

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 52