Knowledge Hut

MAY 3, 2024

What is Stream Processing? Think of streaming as an unbounded, continuous real-time flow of records, and processing these records in a similar timeframe is stream processing. It provides a range of capabilities by integrating with other spark tools to do a variety of data processing. Bulk data processing NA 2.

Kafka 98

Kafka Scala Java Amazon Web Services 98

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Table of Contents What is AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Knowledge Hut

DECEMBER 26, 2023

They are also accountable for communicating data trends. Let us now look at the three major roles of data engineers. Generalists They are typically responsible for every step of the data processing, starting from managing and making analysis and are usually part of small data-focused teams or small companies.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Zalando Engineering

NOVEMBER 29, 2017

Running Kafka Streams applications in AWS At Zalando, Europe’s leading online fashion platform, we use Apache Kafka for a wide variety of use cases. In this blog post, we share our experiences and lessons learned to run our real-time applications built with Kafka’s Streams API in production on Amazon Web Services (AWS).

Kafka 40

Kafka AWS Amazon Web Services Utilities 40

Monte Carlo

JUNE 14, 2023

5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. Data then, and even today for some organizations, was primarily hosted in on-premises databases with non-scalable storage.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

phData: Data Engineering

JANUARY 3, 2022

Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options. For example, an enterprise might be using Amazon Web Services (AWS) as a cloud provider, and you want to store and query data from various systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52