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. Amazon Web Services was launched in July 2002 from the existing Amazon cloud platform with the initial purpose of managing online retail transactions.

AWS 52

AWS Project Amazon Web Services Cloud Computing 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. That’s up from $1.57

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Zalando Engineering

NOVEMBER 29, 2017

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). release (April 2017) of the Kafka Streams API. This piece was first published on confluent.io I/O After upgrading to 0.10.2.1,

Kafka 40

Kafka AWS Amazon Web Services Utilities 40

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

JUNE 26, 2021

In 2017, Apple Inc. Here’s how to proceed with this project- Use Python and Keras Functional API along with Amazon Web Services (AWS) for this exciting project. Also, when it comes to packages- for neural networks, you may use Keras and Tensorflow, and for data processing, you can use Numpy.

Project 40

Project Deep Learning Datasets Medical 40

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

Knowledge Hut

DECEMBER 26, 2023

The following is a list of the best big data companies and big data startups : Alteryx - Alteryx is an important big data agency and a data analytics software company that offers a variety of products and services related to data processing and analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52