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 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

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. Metadata Recording : Metadata is persisted for traceability.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Precisely

DECEMBER 28, 2023

This software prevents many of the common problems that the enterprise experiences: information corruption, bottlenecks, conflict between data sources, and the generation of duplicate entries. It also allows for applications, analytics, and reporting to process information as it happens. You need a separate tool to do that.

Data Pipeline 91

Data Pipeline Building Kafka Big Data 91

Data Engineering Weekly

MAY 5, 2024

link] Sanjeev Mohan: Untangling the Streaming Landscape: The Rise of Unified Real-time Platforms Stream processing comes in different forms, with event stream processing, streaming databases, and stream-enabled analytical databases. The author expands on the possibility of unified data platforms.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

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.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

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, […]

Data Warehouse 52

Data Warehouse Data Cloud Data Process 52

Data Engineering Podcast

APRIL 24, 2022

In this episode Andy Dang explains why the project was created, how you can apply it to your existing data systems, and how it functions to provide detailed context for being able to gain insight into all of your data processes. How do you structure the log events and metadata to provide detail and context for data applications?

Machine Learning 100

Machine Learning Systems Data Lake Metadata 100

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.

Insurance 67

Insurance Pharmaceutical Data Data Ingestion 67

Knowledge Hut

DECEMBER 28, 2023

Competitive Advantage: Utilizing Hadoop projects can give organizations a competitive edge through data-driven insights. Diverse Data Processing: Hadoop supports various data types and complex analysis challenges. Cost-Effectiveness: Hadoop is a cost-effective solution compared to traditional data processing systems.

Hadoop 52

Hadoop Project Datasets Big Data 52

ProjectPro

FEBRUARY 8, 2023

There are over 1000 use cases for Kafka, including website activity tracking, event sourcing, real-time stream processing, log aggregation, etc. Apache Kafka is used for diverse use cases from real-time data processing to event sourcing. What is Apache Kafka Used For?

Kafka 52

Kafka Banking Medical Healthcare 52

Cloudera

SEPTEMBER 30, 2022

New use cases: event-driven, batch, and microservices. Since its initial release in 2021, CDF-PC has been helping customers solve their data distribution use cases that need high throughput and low latency requiring always-running clusters. build high performant, scalable web applications across multiple data centers).

Google Cloud 72

Google Cloud AWS Cloud Cloud Storage 72

Towards Data Science

APRIL 6, 2023

The Implementation After reading one line or two about the available data processing tools in AWS, I chose to build a data pipeline with Lambda and Glue as data processing components, S3 as storage, and a local Airflow to orchestrate everything. In the process-enem-pdf page , click on add trigger.

AWS 79

AWS Data Pipeline Amazon Web Services Python 79

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.

Kafka 90

Kafka Technology IT Government 90

Data Engineering Weekly

DECEMBER 21, 2022

The close we get to bringing the software engineering principles to data engineering, the greater we see the impact of data engineering in the industry. Functional Data Engineering Maxime Beauchemin wrote an influential article, Functional Data Engineering — a modern paradigm for batch data processing.

Data Engineering 57

Data Engineering Data Engineer Engineering Hadoop 57

Knowledge Hut

JULY 3, 2023

Use Cases of Real-time Ingestion Real-time ingestion provides organizations with infrastructure for implementing various data capture, data processing and data analyzing tools. Here are some key uses of real-time data ingestion: 1. This process requires data integration tools and APIs for seamless connections.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

LinkedIn Engineering

JANUARY 19, 2024

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. With our new data processing framework, we were able to observe a multitude of benefits, including 99.9%

Recruitment 88

Recruitment Data Process Process Kafka 88

Ascend.io

NOVEMBER 28, 2023

Data orchestration refers to a wide collection of methods and tools that coordinate any and all types of data-related computing tasks. In contrast, data pipeline orchestration is a more targeted approach. It zeroes in on the specific tasks required to build, operate, and manage data pipelines. What are the challenges?

Data Pipeline 52

Data Pipeline IT Data Metadata 52

Workfall

JUNE 12, 2023

Moreover, it facilitates the implementation of microservices architectures and event-driven systems, automating reactions to data changes without manual intervention. In real-time data streaming and event-driven architectures, CDC captures data changes to trigger actions or workflows.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Cloud Pub/Sub is a messaging service that allows apps and services to exchange event data. What is Google Pub/Sub?

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Cloudera

MARCH 14, 2023

Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. In the Designer, you have the ability to start and stop each step of the data pipeline, resulting in events being queued up in the connections that link the processing steps together.

Data Pipeline 81

Data Pipeline Designing Kafka Metadata 81

Confluent

MARCH 26, 2020

Is event streaming or batch processing more efficient in data processing? Is an IoT system the same as a data analytics system, and a fast data system the same as […].

Big Data 90

Big Data Data Data Analytics Process 90

Data Engineering Podcast

JULY 27, 2020

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break.

Systems 100

Systems Building Scala Java 100

Netflix Tech

MARCH 7, 2024

Data: Fast Data Our main data lake is hosted on S3, organized as Apache Iceberg tables. For ETL and other heavy lifting of data, we mainly rely on Apache Spark. In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training.

Systems 90

Systems Media Machine Learning Data Warehouse 90

Data Engineering Podcast

JULY 19, 2021

It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming.

Management 100

Management Data Warehouse Data Pipeline Data 100

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. Additionally, a data pipeline that consumes real-time data will be developed.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Snowflake

SEPTEMBER 11, 2023

I’d also like to offer some perspective on how best to handle issues such as a person’s right to rectification, data portability, data deletion and restriction of data processing. Customers can classify and tag PII through Snowflake features to track where that data is and ensure policies are in place to protect it.

Cloud 76

Cloud Electronics Government Data Governance 76

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R. billion (2019 - 2022).

Scala 52

Scala Hospitality Healthcare Retail 52

Data Engineering Weekly

MARCH 8, 2023

Only the most relevant data is kept, i.e. the last ten minutes, and processed in order to detect anomalies or changes in data patterns over time. This portion of the data is called a window. Windows techniques are widely used in stream data processing to analyze and summarize data over a fixed period of time.

Process 52

Process Data Media Data Storage 52

Knowledge Hut

JANUARY 30, 2024

Incident Management: This procedure takes rapid action to restore service outages caused by various events such as user credentials, printer problems, or error messages, among others. This process consists of five steps: recording and categorizing the incident, prioritizing, researching and diagnosing, settlement, and ultimately closure.

Process 52

Process Certification Portfolio Accessible 52

Monte Carlo

FEBRUARY 8, 2024

Table of Contents Data Pipeline Optimization: Cost Data Pipeline Optimization: Processing Speed Data Pipeline Optimization: Resilience Data Pipeline Optimization: Data Quality Data Pipeline Optimization: Cost The goal here is to balance robust data processing capabilities with cost control.

Data Pipeline 52

Data Pipeline AWS Datasets Data 52

Rockset

JULY 21, 2022

All interactions are streamed in the form of semi-structured events into Firebase’s NoSQL cloud database, where the data, which includes a large number of nested objects and arrays, is ingested. Since we no longer have to set up schemas in advance, we can ingest real-time event streams without interruption into Rockset.

NoSQL 52

NoSQL IT MongoDB SQL 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. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

Data Process 52

Data Process Process Hadoop Scala 52

Data Engineering Podcast

OCTOBER 14, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council. Upcoming events include the combined events of the Data Architecture Summit and Graphorum, the Data Orchestration Summit, and Data Council in NYC.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Data Engineering Weekly

SEPTEMBER 24, 2023

Check out the agenda and save your spot to join Re: Govern on October 05 Pinterest: Last Mile Data Processing with Ray Pinterest writes about its assessment of the ML developer velocity bottlenecks and delves deeper into the adoption of Ray , the open-source framework to scale AI and machine learning workloads.

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

Data Engineering Podcast

OCTOBER 12, 2020

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. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today!

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

Cloudera

MARCH 30, 2022

Equifax’s delayed reaction to the event was one thing. But the sheer scale of the breach opened up a larger dialogue on the often precarious relationship between data, ethics, and corporate responsibility. But it meant that Apple took responsibility for its customer data — and that was no small feat.

Data 116

Data Government Process Designing 116