Towards Data Science

FEBRUARY 18, 2024

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. An event is generated by a producer (e.g.

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Kafka Python Process Google Cloud 80

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

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.

Architecture 52

Architecture Database-centric Process BI 52

ProjectPro

JANUARY 25, 2022

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. RDD uses a key to partition data into smaller chunks.

Big Data 52

Big Data Data Process Process Kafka 52

Workfall

JUNE 27, 2023

It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly. We want to always have unified data which is broadcasted to all the client applications simultaneously without any latency.

Kafka 75

Kafka Architecture AWS Transportation 75

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. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

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 Engineering Podcast

DECEMBER 31, 2018

Summary As more companies and organizations are working to gain a real-time view of their business, they are increasingly turning to stream processing technologies to fullfill that need. However, the storage requirements for continuous, unbounded streams of data are markedly different than that of batch oriented workloads.

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Lambda Architecture Process Data Process Kafka 100

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. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

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Kafka Scala Java Amazon Web Services 98

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

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. Can you start by giving an overview of the state of the market for data lakes today?

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Data Lake Data Integration Lambda Architecture Process 100

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. It is also integrable with other programming languages like Python and R.

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SQL Database Process NoSQL 52

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.

Process 52

Process Project Management Certification 52

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! What is late-arriving data? How does late-arriving data impact us?

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Data Engineering Data Engineer Engineering Metadata 105

Data Engineering Weekly

MARCH 8, 2023

Pathway is a Python framework for realtime data stream processing that handles updates for you. You can set up your processing pipeline, and Pathway will ingest the new streaming data points for you, sending you alerts in realtime. This portion of the data is called a window.

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Process Data Media Data Storage 52

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. Data decays! It has a shelf life and as time passes its value decreases. Apache Flink.

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Process Kafka Scala SQL 87

Data Engineering Weekly

MAY 16, 2023

It involves thorough checks and balances, including data validation, error detection, and possibly manual review. The bias toward correctness will increase the processing time, which may not be feasible when speed is a priority. Let’s talk about the data processing types.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Netflix Tech

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. After reading the asset ids using one of the ways, an event is created per asset id to be processed synchronously or asynchronously based on the use case.

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Management Kafka Metadata Media 94

Knowledge Hut

APRIL 25, 2024

Big data is a term that refers to the massive volume of data that organizations generate every day. In the past, this data was too large and complex for traditional data processing tools to handle. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Data Engineering Podcast

APRIL 9, 2023

Summary The customer data platform is a category of services that was developed early in the evolution of the current era of cloud services for data processing. Beyond the core technology of the data warehouse, what are the other evolutions/innovations that allow for a CDP experience to be built on top of the core data stack?

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Data Lake Data Warehouse Machine Learning Data 147

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Why Apache Spark? Let’s discuss one by one.

Scala 98

Scala Hadoop Healthcare Big Data 98

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. This is compatible with both Python and Scala Spark.

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Metadata Data Pipeline Scala Data Workflow 97

Data Engineering Weekly

MAY 5, 2024

Platform PayPal writes about its internal AI platform cosmos.ai, which provides MLOps capabilities that streamline processes like model training, deployment, and monitoring, significantly reducing complexity and costs. The author expands on the possibility of unified data platforms.

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Data Engineering Data Engineer Engineering Google Cloud 67

Data Engineering Weekly

JANUARY 28, 2024

I had a chance to meet some of the amazing humans of data engineering. I did very little to run the conference; all our volunteers and the participants made the event a huge success. The company's journey reflects the evolving data engineering practices to meet business growth instead of a top-down approach.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

Zalando Engineering

OCTOBER 9, 2017

The aim here was the democratization of data for all potential users on the new platform. Decision Time It was decided that this new platform would be primarily an event driven system - with data changes being streamed to consumers. Outbound events were generated after completion of DB updates.

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Kafka PostgreSQL Database Data Ingestion 40

Data Engineering Weekly

FEBRUARY 25, 2024

Regarding which city to host the DEWCon event, Berlin and Amsterdam got an almost equal vote!! Are you ready to take Europe's data engineering scene to the next level? Our India event was a huge success because we kept the focus on practitioners, not vendors. I’m super delighted to see the result.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Precisely

DECEMBER 28, 2023

Streaming data pipelines, by extension, offer an architecture capable of handling large volumes of data, accommodating millions of events in near real time. It also allows for applications, analytics, and reporting to process information as it happens. How do streaming data pipelines work?

Data Pipeline 91

Data Pipeline Building Kafka Big Data 91

Knowledge Hut

MARCH 19, 2024

AWS Lambda AWS Lambda is a serverless computing service that enables developers to run code in response to events without needing to work with servers. It allows businesses to construct event-driven architectures and microservices in which functions are invoked by events like file uploads, database changes, or HTTP requests.

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AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

APRIL 23, 2024

Clinical Decision Support: By analyzing vast amounts of patient data and offering in-the-moment insights and suggestions, use cases for big data in healthcare helps workers make well-informed judgments. Supply Chain Management: Big data supply chain big data use cases give merchants the ability to optimize their processes.

Big Data 52

Big Data Retail Recruitment Transportation 52

Knowledge Hut

JANUARY 29, 2024

The main thread usually does all the heavy lifting; this can cause trouble when you try to execute a process when the main thread is already engaged in executing some other CPU-intensive process. Using web workers, you can transfer some processes from the Main thread to the Worker thread. How D o Web Workers Work in JavaScript?

Java 52

Java Coding Accessible Accessibility 52

DataKitchen

OCTOBER 20, 2023

The Challenge: High Stakes in the Age of Personalized Data Observability The primary challenge stems from the requirement of Data Consumers for personalized monitoring and alerts based on their unique data processing needs. Data Observability platforms often need to deliver this level of customization.

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Insurance Pharmaceutical Data Data Ingestion 70

Knowledge Hut

DECEMBER 28, 2023

Imagine having a framework capable of handling large amounts of data with reliability, scalability, and cost-effectiveness. Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Hadoop can store data and run applications on cost-effective hardware clusters.

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Hadoop Project Datasets Big Data 52

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

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Kafka Technology IT Government 91

Knowledge Hut

DECEMBER 22, 2023

Implementing voice recognition technology and APIs to accurately transcribe and process voice inputs. Event websites featuring event details, schedules, and registration forms on a single page. Developing immersive educational experiences where students can explore historical events or scientific concepts in a virtual setting.

Entertainment 105

Entertainment Utilities Machine Learning AWS 105

Hevo

AUGUST 17, 2023

Webhooks are a widely used mechanism for real-time event notifications and trigger-based actions. Receiving real-time data updates assists in efficient data processing and analysis for enhanced decision-making. Firebolt, a high-performance cloud-based data warehouse, […]

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Data Warehouse Data Cloud Data Process 52

Data Engineering Weekly

DECEMBER 2, 2023

[link] Amazon S3 Express One Zone is a high-performance, single-availability Zone storage class purpose-built to deliver consistent single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications. The combination of stream processing + OLAP storage like Pinot. It doesn’t fly.

IT 85

IT BI AWS Kafka 85

Striim

DECEMBER 8, 2023

Introduction Change Data Capture (CDC) is a critical methodology, particularly in scenarios demanding real-time data integration and analytics. Concepts and definitions for this article Striim App: Deployable Directed Acyclic Graph (DAG) of data processing components in Striim. Source (e.g.,

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Kafka Database Data Warehouse Data 64