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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Knowledge Hut

MARCH 19, 2024

Herein lies the role of architectural design in software engineering. Software Engineer Training online will help you understand the basics before you jump into design architecture software engineering. Remarkably, studies indicate that poor design is the reason behind 75% of software project failures.

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Software Engineer Software Engineering Architecture Designing 52

Cloudyard

JULY 20, 2023

Read Time: 1 Minute, 38 Second During the previous post we discussed the usage of EVENT table with Python and Javascript procedure. In continuation of the same we will explore how we can leverage the EVENT tables in SQL scripting. We will use the EVENT tables to log the error and other details through SQL scripting procedure.

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SQL Python Systems Designing 52

Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities.

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Data Pipeline Designing Kafka Metadata 82

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.

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Process Certification Portfolio Accessible 52

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. This is where the processes are filtered and analyzed.

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Architecture Database-centric Process BI 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. What is FastAPI?

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Workfall

JUNE 27, 2023

In this blog, we’ll explore how to harness the power of Kafka to streamline event streaming within a microservices architecture and unlock its full potential for building scalable and responsive systems. In the event of server failure, Kafka can autonomously restart itself, ensuring uninterrupted data flow. Let’s get started!

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Kafka Architecture AWS Transportation 75

Confluent

FEBRUARY 27, 2019

What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? Serverless functions provide a synergistic relationship with event streaming applications; they behave differently with respect to streaming workloads but are both event driven. Event-first FaaS? Event-first FaaS.

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Kafka AWS Architecture Cloud 109

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. So our solution was to start using an intentional contract: Events. What are Events? Events are facts about what happened within your service.

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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.

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Cloudyard

JULY 11, 2023

Read Time: 4 Minute, 32 Second In this post, we will explore the utilization of EVENT tables to capture erroneous data. Based on business requirement, a streamlined process is developed to handle invalid records automatically without manual intervention. import logging : To Log into Event table. import json : To read JSON data.

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Python Utilities Datasets Data Pipeline 40

Confluent

FEBRUARY 21, 2019

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement. Yeah…I can do that already!

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Process Kafka Datasets SQL 80

Knowledge Hut

MARCH 19, 2024

There are a lot of opportunities waiting for UX design enthusiasts, provided they consider moving to Germany. Upon moving here, you will experience a diversified pool of opportunities in digital product companies, design agencies, startups, etc. Who is a UX Designer?

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Designing Portfolio Certification Project 52

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. All of these, and more, lead to design patterns that can be used and reused. Four pillars of event streaming. Pillar 1 – Business function: Payment processing pipeline. Pillar 4 – Operational plane: Event logging, DLQs and automation.

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Netflix Tech

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

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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.

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Process Certification Portfolio Telecommunication 52

Confluent

JUNE 26, 2019

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform.

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LinkedIn Engineering

JANUARY 19, 2024

This multi-entity handover process involves huge amounts of data updating and cloning. Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. A typical merger & acquisition scenario.

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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? It has the following syntax: cv2.rectangle(img,

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Python Process Deep Learning Algorithm 98

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.

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Architecture Programming Kafka Database-centric 89

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.

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Data Process Process Hadoop Scala 52

Knowledge Hut

MARCH 20, 2024

This article delves into the essential components of risk analysis qualitative, explores different types of risk analysis methods, outlines the key steps involved in the process, and provides illustrative examples and templates. Risk analysis templates and specialized software can enhance the accuracy and efficiency of the process.

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Process Certification Insurance Project 52

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Process Data Pipeline Datasets SQL 84

Knowledge Hut

JANUARY 31, 2024

The service value chain is a system of six interacting components: Plan Improve Engage Design and Transition Obtain/Build Deliver and Support. ITIL defines four dimensions to represent the various resources used in ITIL, like people, products, processes, and suppliers. What Is CMDB, and How Does It Fit In the ITIL Scheme?

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Process Certification Telecommunication Database 52

Data Engineering Podcast

MARCH 2, 2020

Summary Building applications on top of unbounded event streams is a complex endeavor, requiring careful integration of multiple disparate systems that were engineered in isolation. The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing.

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Kafka Process PostgreSQL MySQL 100

Data Engineering Podcast

NOVEMBER 26, 2019

Summary The team at Sentry has built a platform for anyone in the world to send software errors and events. In this episode James Cunningham and Ted Kaemming describe the process of rearchitecting a production system, what they learned in the process, and some useful tips for anyone else evaluating Clickhouse.

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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.

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Knowledge Hut

JANUARY 29, 2024

Processes: Coming to the next point, you need to see that every set of programs or entity requires efficient governing. These practical sets of rules are known as processes that are used to achieve a specific target or goal. Processes can be used to deliver the desired outcome to both company stakeholders and clients.

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Towards Data Science

MARCH 1, 2023

In this article, we will detail the design of a custom Spark flatMapWithGroupState function. rules: - rulename: rule5 description: un-ordered set of events by host action: temporal ordered: false tags: - name: recon_cmd_a - name: recon_cmd_b - name: recon_cmd_c We designed our Flux Capacitor specification to resemble Sigma rules.

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Designing Scala Data Science Process 75

Confluent

APRIL 24, 2019

So you’ve convinced your friends and stakeholders about the benefits of event-driven systems. But the system we were responsible for was a mish-mash of Ruby on Rails, Apache Samza, Kafka Connect and Kafka Streams, which seems to be a common scenario (for those on the journey to event driven ). Send some input events.

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Systems Kafka Transportation Coding 93

Rockset

MARCH 27, 2023

In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks. Differing Paradigms Stream processing systems and real-time analytics (RTA) databases are both exploding in popularity. Let’s start with a quick summary of both stream processing and RTA databases.

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Database Process Scala SQL 52

Zalando Engineering

APRIL 22, 2024

We cannot process all requested communication as fast as possible. The business stakeholders have requested to ensure that we process the communication which supports critical business operations within the given service level objectives ( SLOs). Out of those more than 1000 different event types trigger customer communication.

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Algorithm Systems Kafka Designing 80

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.

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MySQL Kafka Aggregated Data Architecture 52

Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. The greater the claim made using analytics, the greater the scrutiny on the process should be.

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Data Engineering Data Engineer Data Process Process 183

Data Engineering Podcast

NOVEMBER 20, 2021

With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand the proper processing patterns to make that performant. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams.

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Data Lake Data Integration Lambda Architecture Process 100

Confluent

JUNE 27, 2019

and were added to bring more flexibility to the client creation process. One important requirement addressed by the builder classes is that of specifying event handlers. API, event handlers are specified by subscribing to C# events (e.g., Builder classes are also new in v1.0 In the v0.11.6 Serialization. Message class.

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