Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. Four pillars of event streaming. Pillar 1 – Business function: Payment processing pipeline. Pillar 4 – Operational plane: Event logging, DLQs and automation. Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture.

Kafka 94

Kafka Pipeline-centric Architecture Database-centric 94

dbt Developer Hub

NOVEMBER 3, 2022

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. Quality problems lead to first responders unable to check into disaster sites or parents unable to access ESA funds. So our solution was to start using an intentional contract: Events.

Kafka 52

Kafka ETL Tools BI Database 52

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. By exploring the benefits of using Data Mesh for your event streaming architecture, this article will help you decide if it’s the right solution for your organization.

Architecture 52

Architecture Generalist Government Datasets 52

Workfall

SEPTEMBER 26, 2023

Reading Time: 9 minutes In this blog, we will cover: What are Server-Sent Events? Why Stream Data Using Server-Sent Events (SSE)? Hands-On Conclusion What are Server-Sent Events? These events can carry information like notifications, updates, or alerts. This makes it accessible to a wider range of developers and projects.

Python 85

Python Bytes Coding Project 85

Knowledge Hut

JANUARY 28, 2024

The change control process is a crucial aspect of project management intended to manage and regulate changes made to the project plan, schedule, and budget. These change control process steps are planning, analyzing, approval, testing, implementing, and closing. The change request kickstarts the process of change control.

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Process Project Designing Pharmaceutical 98

Confluent

FEBRUARY 27, 2019

FaaS functions only solve the compute part, but where is data stored and managed, and how is it accessed? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? The key to event-first systems design is understanding that a series of events captures behavior. Next Steps.

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Kafka AWS Architecture Cloud 109

Knowledge Hut

JANUARY 30, 2024

ITIL Processes ITIL comprises several processes that make it extremely adaptable, scalable, and diverse. These processes consist of activities with specified inputs, causes, and outputs. Let's look at some of the ITIL Processes and ideas that underpin them. This process is completed through five successive activities.

Process 52

Process Certification Portfolio Accessible 52

Cloudera

AUGUST 10, 2022

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. Cloudera Stream Processing Community Edition. Apache Kafka and SMM.

Process 89

Process Kafka PostgreSQL MySQL 89

Confluent

APRIL 4, 2019

Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices that need to take action on a common stream of events all listen to that stream.

Kafka 108

Kafka Data Cleanse Retail Finance 108

Scott Logic

APRIL 22, 2024

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. I’ll use the term message in this blog as a generic term for asynchronous communication that may be state or commands or events.

AWS 52

AWS Metadata Systems Kafka 52

Edureka

JULY 19, 2024

Access control fundamentally secures systems by controlling and monitoring who can access resources or perform actions. Broken access control , on the other hand, is a vulnerability that is devoid of proper access control; Hence, the users could act or get access to resources to which they really should not have the authorization.

Accessibility 40

Accessibility Accessible IT Coding Skills 40

Confluent

JUNE 7, 2019

At TokenAnalyst, we’re using Kafka for ingestion of blockchain data—which is directly pushed from our cluster of Bitcoin and Ethereum nodes—to different streams of transformation and loading processes. On the event streaming side, we offer reliable low-latency data streams for financial applications based on Kafka Streams.

Accessibility 93

Accessibility Accessible Kafka Scala 93

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 92

Architecture Programming Kafka Database-centric 92

Knowledge Hut

JANUARY 30, 2024

IT service lifecycle processes and stages are covered in five books that have been revised several times over the years. All professionals who want to take the exam for the ITIL 4 Foundation Certification must have a thorough understanding of the ITIL 4 framework and ITIL processes list.

Process 52

Process Certification Portfolio Telecommunication 52

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. What is OpenCV Python?

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Python Process Deep Learning Algorithm 98

Netflix Tech

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. This process can also be used to track the provenance of increments.

Datasets 89

Datasets Computer Science Systems Kafka 89

Knowledge Hut

JANUARY 31, 2024

ITIL defines four dimensions to represent the various resources used in ITIL, like people, products, processes, and suppliers. Organizations and People Information and Technology Partners and Suppliers Value Streams and Processes Here is a quick view of the ITIL SVS, also called SVC(Service Value Chain).

Process 52

Process Certification Telecommunication Database 52

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. Using these high-tech tools, I can explore economic trends, figure out patterns, and predict future events. It has changed how we look at and understand data.

Data Process 52

Data Process Process Hadoop Scala 52

Netflix Tech

SEPTEMBER 10, 2024

One issue that often complicates this process is the "noisy neighbor" problem. The sched_wakeup and sched_wakeup_new hooks are invoked when a process changes state from 'sleeping' to 'runnable.' ' They let us identify when a process is ready to run and is waiting for CPU time.

Utilities 98

Utilities Coding Programming Java 98

Confluent

MAY 7, 2019

Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Data processing requirements. Every developer who uses Apache Kafka ® has used a Kafka consumer at least once.

Kafka 111

Kafka Accessibility Accessible Metadata 111

Cloudera

JULY 18, 2022

In this blog we will conclude the implementation of our fraud detection use case and understand how Cloudera Stream Processing makes it simple to create real-time stream processing pipelines that can achieve neck-breaking performance at scale. Flink is a “streaming first” modern distributed system for data processing.

Process 89

Process Kafka Scala SQL 89

Snowflake

JUNE 28, 2023

At this year’s Summit, we are excited to announce a series of advancements to Snowpark runtimes and libraries, making the deployment and processing of non-SQL code in Snowflake even simpler, faster, and more secure. Snowpark — Set of libraries and runtimes for secure deployment and processing of non-SQL code on the Snowflake Data Cloud.

Python 52

Python Accessibility Accessible Pipeline-centric 52

Rockset

FEBRUARY 24, 2022

Event-based architectures have been gaining popularity for some time. With increased adoption has come a flood of options for aggregating and analyzing events. Which databases are optimized for ingesting streaming events and analyzing them in real time? Supporting separation of data access (read/write) mechanisms like CQRS.

AWS 52

AWS Amazon Web Services Kafka SQL 52

Rockset

OCTOBER 4, 2022

Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The broad adoption of Apache Kafka has helped make these event streams more accessible. In this post, we compare two options for real-time analytics on event and CDC streams: Rockset and ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Data Engineering Podcast

NOVEMBER 26, 2023

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. Developing event-driven pipelines is going to be a lot easier - Meet Functions! Memphis Logo]([link] Developing event-driven pipelines is going to be a lot easier - Meet Functions!

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Knowledge Hut

JULY 24, 2023

As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. Recently, the advent of stream processing has unlocked the door for a new era in database technology. One of its most significant benefits is its ability to quickly process a vast amount of data.

Database 52

Database SQL Process NoSQL 52

Robinhood

OCTOBER 21, 2024

Historically, UK retail investors have had challenges accessing features like margin investing that provide other ways to help maximise their investments. At Robinhood we understand that investors want access to expand and diversify their portfolios at industry leading rates, in an amazing user experience.”

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Portfolio Insurance Retail Banking 99

Data Engineering Podcast

SEPTEMBER 14, 2020

Tree Schema is a data catalog that is making metadata management accessible to everyone. For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home.

Process 100

Process Unstructured Data Metadata Data Engineer 100

Knowledge Hut

JANUARY 23, 2024

To stay on top of processes and synchronize all the elements involved, I turn to one of the key best practices in the rule book: Project Integration Management. Here’s what can be achieved through integration management: Processes and tasks can be organized and listed out. Get to know more about project description.

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Project Process Management Certification 52

Cloudera

JUNE 28, 2022

We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale. Building real-time streaming analytics data pipelines requires the ability to process data in the stream. This is what we call the first-mile problem.

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Process Kafka SQL Machine Learning 84

Data Engineering Podcast

APRIL 16, 2023

As the capabilities of these systems has improved and become more accessible, the target of what self-serve means changes. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools.

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. These components interact seamlessly with each other, making Spark a versatile and comprehensive platform for processing huge volumes of diverse information.

Big Data 52

Big Data Data Process Process Hadoop 52

Confluent

JUNE 11, 2019

For event streaming application developers, it is important to continuously update the streaming pipeline based on the need for changes in the individual applications in the pipeline. It is also important to understand some of the common streaming topologies that streaming developers use to build an event streaming pipeline.

Kafka 86

Kafka Cloud Java MongoDB 86

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. The demand for stream processing is increasing every day in today’s era. Kafka streams provide true a-record-at-a-time processing capabilities.

Kafka 98

Kafka Scala Java Amazon Web Services 98

DoorDash Engineering

NOVEMBER 21, 2022

Subscribe for weekly updates The solution to real-time processing of inventory changes The simplest approach to propagating inventory level changes in the database to the rest of the system may have been to invoke the service code to take actions every time something that affects the inventory table is called.

Data Process 57

Data Process Process Kafka Database 57

Netflix Tech

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Bytes 94

Bytes Datasets Metadata Data 94

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. What is Natural Language Processing? Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech.

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Process Deep Learning Datasets Machine Learning 139