ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Why use PySpark? Why use PySpark?

Big Data 52

Big Data Data Process Process Kafka 52

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. 200,000 queries per day.

Data Warehouse 95

Data Warehouse Kafka Lambda Architecture Telecommunication 95

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. And, out of these professions, this blog will discuss the data engineering job role. Most recruiters look for real-world project experience and shortlist the resumes based on hands-on experience working on data engineering projects.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

FEBRUARY 27, 2019

What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? When it comes to the emerging serverless world, It makes sense to validate how Apache Kafka ® fits in considering that it is mission critical in 90 percent of companies. Event-first FaaS? What is FaaS? Next Steps.

Kafka 109

Kafka AWS Architecture Cloud 109

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Event-driven architecture. Event-driven, reactive architecture. Being event first.

Architecture 89

Architecture Programming Kafka Database-centric 89

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. It offers time travel, a source of truth, scaling, consistency and many elements that we can rely on. All of these, and more, lead to design patterns that can be used and reused. Four pillars of event streaming. Deployment model.

Kafka 92

Kafka Pipeline-centric Architecture Database-centric 92

Rockset

JANUARY 16, 2019

This post offers a how-to guide to real-time analytics using SQL on streaming data with Apache Kafka and Rockset, using the Rockset Kafka Connector , a Kafka Connect Sink. Kafka is commonly used by many organizations to handle their real-time data streams.

Kafka 40

Kafka SQL Python Data 40

ProjectPro

NOVEMBER 22, 2021

Currently, there are over 32k+ big data jobs in the US, and the number is expected to keep growing with time. It's easier to use Python's expressiveness to modify data in tabular format, thanks to PySpark's DataFrame API architecture. sports activities). They are, however, able to do this only through the use of Py4j.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

NOVEMBER 15, 2021

Anyone can freely use, study, modify and improve the project, enhancing it for good. Anyone can freely use, study, modify and improve the project, enhancing it for good. The adaptability and technical superiority of such open-source big data projects make them stand out for community use.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

JUNE 16, 2022

real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Maybe you started using Instagram to search for some fitness videos, and now, Instagram keeps recommending videos from fitness influencers to you.

Big Data 52

Big Data Coding Project Hadoop 52

Rockset

OCTOBER 10, 2019

In this blog, we walk through how to build a real-time dashboard for operational monitoring and analytics on streaming event data from Kafka, which often requires complex SQL, including filtering, aggregations, and joins with other data sets.

Kafka 52

Kafka SQL Building Data 52