Cloudera

JUNE 16, 2022

Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel. Today, CSP is powered by Apache Flink and Kafka and provides a complete, enterprise-grade stream management and stateful processing solution.

Kafka 85

Kafka Manufacturing Data Lake SQL 85

Scott Logic

APRIL 22, 2024

In my previous blog post I looked at various technologies for sending data asynchronously between services including RabbitMQ, Kafka, AWS EventBridge. I’ve coloured the data entities according to their types and we see there’s a few different patterns like events and state which we’ll discuss in a moment.

AWS 52

AWS Metadata Systems Kafka 52

Confluent

MAY 9, 2019

All of these, and more, lead to design patterns that can be used and reused. Yes, we can transact across partitions in Apache Kafka ® , and with traditional database transactions you get many “trust” semantics for free; however, they are pushed down into the database runtime. Four pillars of event streaming. Putting it all together.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

Confluent

JUNE 26, 2019

I see this pattern coming up more and more in the field in conjunction with Apache Kafka ®. In these projects, microservice architectures use Kafka as an event streaming platform. Apache Kafka – An event streaming platform for microservices. Microservices. Martin Fowler. This can be answered in two parts: 1.

Kafka 109

Kafka Designing Architecture ETL Tools 109

DoorDash Engineering

AUGUST 15, 2023

For a more detailed introduction to BPF portability and CO-RE, see Andrii Nakryiko’s blog post on the subject. These programs, designed to provide lightweight access to most components of the kernel, are sandboxed and validated for safety by the kernel before execution.

Bytes 84

Bytes PostgreSQL Coding Database 84

DoorDash Engineering

APRIL 4, 2023

This is the third blog post in a series of articles showcasing our 2022 summer intern projects. Today these changes are entered as single entry systems that are prone to errors and difficult to reconcile. Archiver is a flink application that listens to multiple different events on kafka topics.

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Project Banking Kafka Database 74

Lyft Engineering

OCTOBER 3, 2023

Finally, as the subject of this blog post, we can assess data quality via batch compute analytics on our data warehouse, providing a comprehensive albeit slower evaluation compared to the previously mentioned methods. These flow through Kafka , our event streaming platform, before being processed by Flink , our streaming compute framework.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Rockset

MARCH 27, 2023

This blog will clarify some conceptual differences, provide an overview of popular tools, and offer a framework for deciding which tools are best suited for specific technical requirements. Nodes can live on different servers, connected by a network, as a way to scale horizontally to handle massive volumes of data.

Database 52

Database Process Scala SQL 52

Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®. and OpenID Connect.

Kafka 94

Kafka Cloud Data Pipeline PostgreSQL 94

DoorDash Engineering

FEBRUARY 22, 2023

To solve this scaling problem our team built a write-heavy inventory platform that would be able to keep up with all the changes on the platform. Before we dive in, let’s define some important terminology. In simple terms, “inventory” refers to the list of items present in a specific store of a Convenience and Grocery (CnG) merchant.

Designing 125

Designing Database Architecture SQL 125

Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. Making sense of the communication and dataflow patterns inside these choreographies, however, can be a challenge. Distributed tracing with Zipkin. Zipkin: Distributed tracing infrastructure.

Kafka 111

Kafka Transportation Metadata Consulting 111

Knowledge Hut

NOVEMBER 19, 2023

This removes the need for human effort to enter the data, thus reducing human biases and errors. I wrote an article named ‘An Introduction to Azure IoT with Machine Learning,’ in that blog, I took an example of a system that monitors temperature and humidity. So how do these devices enhance different aspects of your lives? What is IoT?

Data Science 52

Data Science Technology Machine Learning Big Data 52

Rockset

OCTOBER 11, 2022

In this blog, we’ll compare and contrast how Elasticsearch and Rockset handle data ingestion as well as provide practical techniques for using these systems for real-time analytics. The connector does require installing and managing additional tooling, Kafka Connect.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Confluent

JUNE 11, 2019

Here in part 4 of the Spring for Apache Kafka Deep Dive blog series, we will cover: Common event streaming topology patterns supported in Spring Cloud Data Flow. Create and manage event streaming pipelines, including a Kafka Streams application using Spring Cloud Data Flow. java -jar spring-cloud-dataflow-shell-2.1.0.RELEASE.jar.

Kafka 85

Kafka Cloud Java MongoDB 85

Confluent

JULY 10, 2019

As discussed in part 2, I created a GitHub repository with Docker Compose functionality for starting a Kafka and Confluent Platform environment, as well as the code samples mentioned below. In our case, we needed to encapsulate a series of string manipulation patterns that were consistent across many of our pipelines.

Kafka 87

Kafka Java Bytes SQL 87

AltexSoft

MAY 14, 2021

And most of this data has to be handled in real-time or near real-time. Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools. That’s a smart thing to do because not all data can be granted with this adjective.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Rock the JVM

AUGUST 9, 2022

Logs-As-A-Stream Many messaging platforms, such as Kafka, Pulsar, and/or RabbitMQ have what they advertise as Stream s. FileInputStream In our example later, we are going to process blog posts to parse tag meta-data. He’s a senior developer, who has been working with Scala for a number of years.

Scala 40

Scala Bytes Kafka Programming 40

Confluent

FEBRUARY 13, 2019

I will then wrap it up by composing the beginnings of a solution architecture that walks through the event streaming app, but also attaches event-stream patterns for “running on rails” in addition to instrumentation, data and control planes. In this way, we don’t think about solution architecture in just one dimension.

Architecture 90

Architecture Programming Kafka Database-centric 90

Rock the JVM

MAY 22, 2023

This article is all about choosing the right Scala course for your journey. Introduction I’ve made almost 300 hours of courses so far at Rock the JVM, so it’s only natural that every once in a while I get one or more of the following questions: In what order should I take your courses? How should I get started with Scala? Which course should I take?

Scala 52

Scala Java Programming Language Programming 52

Rockset

FEBRUARY 7, 2020

In this IoT example, we examine how to enable complex analytic queries on real-time Kafka streams from connected car sensors. Building Real-Time Analytics on Connected Car IoT Data For our example, we have a fleet of connected vehicles that send the sensor data they generate to a Kafka cluster.

Kafka 40

Kafka Transportation Data SQL 40

ProjectPro

NOVEMBER 22, 2021

PySpark has exploded in popularity in recent years, and many businesses are capitalizing on its advantages by producing plenty of employment opportunities for PySpark professionals. According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% from 2019 to 2026, reaching $61.42

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

SEPTEMBER 11, 2021

This blog contains a list of business analyst interview questions and answers. So, if you are considering a career in the management field and aspiring to become a Business Analyst, read this blog to understand what kind of questions are asked in a business analyst interview. Ability to analyze huge datasets.

Business Analyst 52

Business Analyst Database-centric MySQL SQL 52

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. To ensure that data is consistent and accurate, you must review each column and check for errors, missing data values, etc. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

phData: Data Engineering

JANUARY 3, 2022

If you’re selling a small handful of products to a small group of customers, it’s easier to have a handle on what your users want and have visibility into the usage of those products. This is a manual and error-prone process, but one that requires the least amount of complexity. How do I know which tools to leverage? Why is that?

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 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

U-Next

AUGUST 10, 2022

Data Engineers create systems that gather, handle and transform unprocessed data into meaningful information that data analysts and business architects may use to analyze in several contexts. Model Building and Pattern Recognition: Data Engineers utilize a descriptive data model to derive contextual information from data aggregation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52