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

Cloudera

AUGUST 13, 2021

The ability to manage how the data flows and transforms during the first mile of the data pipeline and control the data distribution can accelerate the performance of all analytic applications. By modernizing the data flow, the enterprise got better insights into the business.

Data Pipeline 109

Data Pipeline Data Lake ETL Tools Unstructured Data 109

Rockset

MARCH 15, 2021

For example, instead of denormalizing the data, you could use a query engine that supports joins. This will avoid unnecessary processing during data ingestion and reduce the storage bloat due to redundant data. The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e.,

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

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. Rockset, in contrast, is a real-time analytics platform that was built to serve sub-second queries on real-time data.

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

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. How can AWS solve Big Data Challenges?

Big Data 52

Big Data Hadoop AWS Relational 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. .

Kafka 88

Kafka Manufacturing Data Lake SQL 88

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 Data Warehouse 52

Rockset

APRIL 15, 2022

It also prevents data bloat that would hamper storage efficiency and query speeds.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

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.

Big Data 52

Big Data Coding Project Hadoop 52

phData: Data Engineering

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52