Edureka

APRIL 22, 2025

To meet this need, people who work in data engineering will focus on making systems that can handle ongoing data streams with little delay. Real-time data analysis is becoming more important, and technologies like Apache Kafka and Apache Flink are getting a lot of attention as powerful ways to handle this fast-paced data processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

Data Engineering Weekly

JUNE 10, 2024

link] Open AI: Model Spec LLM models are slowly emerging as the intelligent data storage layer. Similar to how data modeling techniques emerged during the burst of relation databases, we started to see similar strategies for fine-tuning and prompt templates. Will they co-exist or fight with each other? On the time will tell us.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Pinterest Engineering

SEPTEMBER 17, 2024

Jeff Xiang | Senior Software Engineer, Logging Platform; Vahid Hashemian | Staff Software Engineer, LoggingPlatform When it comes to PubSub solutions, few have achieved higher degrees of ubiquity, community support, and adoption than Apache Kafka, which has become the industry standard for data transportation at large scale.

Kafka 49

Kafka Bytes Transportation Metadata 49

Lyft Engineering

NOVEMBER 29, 2023

Druid Data Ingestion Our pipeline for the two methods of ingesting data into Druid—the upper process is for batch ingestion, the lower process is for real-time ingestion. Then, they needed to define an ingestion specification which tells Druid how to process the data being ingested. This was our main form of ingestion.

Kafka 107

Kafka Data Ingestion Architecture Datasets 107

Data Engineering Podcast

DECEMBER 31, 2018

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Tom Kaitchuck about Pravega, an open source data storage platform optimized for persistent streams Interview Introduction How did you get involved in the area of data management?

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

Striim

AUGUST 5, 2024

This episode promises invaluable insights into the shift from batch to real-time data processing, and the practical applications across multiple industries that make this transition not just beneficial but necessary. Explore the intricate challenges and groundbreaking innovations in data storage and streaming.

Kafka 52

Kafka Data Storage Architecture Data Architecture 52

Pinterest Engineering

NOVEMBER 22, 2023

Initial Architecture For Goku Short Term Ingestion Figure 1: Old push based ingestion pipeline into GokuS At Pinterest, we have a sidecar metrics agent running on every host that logs the application system metrics time series data points (metric name, tag value pairs, timestamp and value) into dedicated kafka topics.

Database 111

Database Bytes Kafka Architecture 111

Data Engineering Weekly

FEBRUARY 2, 2025

Lithium uses a Bring Your Own Host (BYOH) model, allowing developers to integrate custom processors within their services and ensuring data proximity and tenant isolation. The CDC approach addresses challenges like time travel, data validation, performance, and cost by replicating operational data to an AWS S3-based Iceberg Data Lake.

Data Engineer 58

Data Engineer Data Engineering Engineering Data Lake 58

Data Engineering Weekly

DECEMBER 2, 2023

The paper discusses trade-offs among data freshness, resource cost, and query performance. Ref: [link] In the current state of the data infrastructure, we use a combination of multiple specialized data storage and processing engines to achieve this balance. Presto tried with RaptorX. It doesn’t fly.

IT 85

IT BI AWS Kafka 85

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? Table of Contents Kafka vs. RabbitMQ - An Overview What is RabbitMQ?

Kafka 52

Kafka Big Data Java Architecture 52

Confluent

JULY 3, 2019

In order to achieve our targets, we’ll use pre-built connectors available in Confluent Hub to source data from RSS and Twitter feeds, KSQL to apply the necessary transformations and analytics, Google’s Natural Language API for sentiment scoring, Google BigQuery for data storage, and Google Data Studio for visual analytics.

Data Analysis 21

Data Analysis Kafka Datasets Java 21

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. This is when CloudBank selected Apache Kafka as technology enabler for their needs. more data per server) and constant retrieval time. Journey from mainframe to cloud.

Cloud 89

Cloud Banking Kafka NoSQL 89

Christophe Blefari

JUNE 16, 2023

The first advice is about the documentation readers: data team, business users or other stakeholders. Change Data Capture (CDC) with PostgreSQL and ClickHouse — This is a nice vendor post about CDC with Kafka as movement layer (using Debezium). The post explains well the architecture you need to make it work.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

The Pragmatic Engineer

JUNE 13, 2023

For data storage , it uses an object store cluster, running on VAST hardware. In this cluster, around 15 PB of raw data and 21 PB of logical data can be stored. More data can be fitted than there is raw storage available thanks to VAST’s data deduplication.

Cloud 251

Cloud Database Utilities BI 251

Rockset

AUGUST 21, 2019

Rockset continuously ingests data streams from Kafka, without the need for a fixed schema, and serves fast SQL queries on that data. We created the Kafka Connect Plugin for Rockset to export data from Kafka and send it to a collection of documents in Rockset. This blog covers how we implemented the plugin.

Kafka 40

Kafka IT Data Storage Relational Database 40

Data Engineering Podcast

SEPTEMBER 12, 2021

What are some of the challenges that you and the Cassandra community have faced with the flurry of new data storage and processing systems that have popped up over the past few years? What do you see as the opportunities for Cassandra over the near to medium term as the cloud continues to grow in prominence?

Database 100

Database Kafka Metadata Data Storage 100

Cloudera

MARCH 5, 2024

The powerful platform data security and governance layer, Shared Data Experience (SDX) , is a fundamental part of the open data lakehouse, in the data center just as it is in the cloud. Rolling upgrades are now supported for HDFS, Hive, HBase, Kudu, Kafka, Ranger, YARN, and Ranger KMS.

Data Lake 87

Data Lake Data Storage Government Kafka 87

Christophe Blefari

JANUARY 20, 2024

formats — This is a huge part of data engineering. Picking the right format for your data storage. In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), Main technologies around stream are bus messages like Kafka and processing framework like Flink or Spark on top of the bus.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Monte Carlo

MAY 28, 2024

In batch processing, this occurs at scheduled intervals, whereas real-time processing involves continuous loading, maintaining up-to-date data availability. Data Validation : Perform quality checks to ensure the data meets quality and accuracy standards, guaranteeing its reliability for subsequent analysis.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Source Code: Yelp Review Analysis 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Christophe Blefari

JUNE 21, 2024

Both companies have added Data and AI to their slogan, Snowflake used to be The Data Cloud and now they're The AI Data Cloud. Accordingly to the press Snowflake and Confluent (Kafka) were also trying to buy Tabular. Buying Tabular — Before the last bullet point, it was already something big.

Metadata 147

Metadata Data Warehouse BI MySQL 147

Knowledge Hut

APRIL 25, 2024

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Data Engineering Podcast

DECEMBER 16, 2019

Many metadata management systems are simply a service layer on top of a separate data storage engine. Many metadata management systems are simply a service layer on top of a separate data storage engine. Can you explain how Marquez is architected and how the design has evolved since you first began working on it?

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

AltexSoft

JUNE 7, 2021

Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. Data storage options. Hadoop nodes: masters and slaves.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Data Engineering Weekly

NOVEMBER 26, 2023

We’ve seen a fleet of tools like TextToSQL ; Slack bots to ask questions to your data warehouse , Chat interface for spreadsheets , and even the English SDK for Spark ! I believe the impact of LLM will go further down in the stack with data storage formats in the coming years. Let me know your thoughts in the comments.

Data Engineering 71

Data Engineering Data Engineer Engineering Kafka 71

Data Engineering Weekly

DECEMBER 16, 2024

Innovations in Unstructured Data Processing Processing unstructured data at scale remains one of the biggest challenges for modern organizations, prompting innovative solutions in 2024 that blend efficiency, scalability, and accuracy.

Data Engineering 63

Data Engineering Data Engineer Engineering Unstructured Data 63

Knowledge Hut

NOVEMBER 28, 2023

Concepts of IaaS, PaaS, and SaaS are the trend, and big companies expect data engineers to have the relevant knowledge. Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams. ETL is central to getting your data where you need it.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Big Data Tools

SEPTEMBER 6, 2021

It hasn’t had its first release yet, but the promise is that it will un-bias your data for you! rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! Change Data Capture at DeviantArt – I think we all know what Debezium is.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

Kafka Kafka is an open-source processing software platform. It is used to handle real-time data feeds and build real-time streaming apps. The applications developed by Kafka can help a data engineer discover and apply trends and react to user needs.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing. Apache Kafka.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Rockset

APRIL 18, 2023

Rockset offers a number of benefits along with vector search support to create relevant experiences: Real-Time Data: Ingest and index incoming data in real-time with support for updates. Feature Generation: Transform and aggregate data during the ingest process to generate complex features and reduce data storage volumes.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Monte Carlo

FEBRUARY 20, 2024

Let’s explore what to consider when thinking about data ingestion tools and explore the leading tools in the field. Apache Kafka Apache Kafka is a powerful distributed streaming platform that acts as both a messaging queue and a data ingestion tool. It has a steeper learning curve compared to tools like Fivetran.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Data Engineering Weekly

NOVEMBER 13, 2022

link] Meta: Tulip - Schematizing Meta’s data platform Numerous heterogeneous services make up a data platform, such as warehouse data storage and various real-time systems. The schematization of data plays a vital role in a data platform. The author shares the experience of one such transition.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

U-Next

AUGUST 17, 2022

Because of this, all businesses—from global leaders like Apple to sole proprietorships—need Data Engineers proficient in SQL. NoSQL – This alternative kind of data storage and processing is gaining popularity. They’ll come up during your quest for a Data Engineer job, so using them effectively will be quite helpful.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Cloud Academy

JANUARY 27, 2022

Apache Kafka Amazon MSK and Kafka Under the Hood Apache Kafka is an open-source streaming platform. Learn about the AWS-managed Kafka offering in this course to see how it can be more quickly deployed. MongoDB Configuration and Setup Watch an example of deploying MongoDB to understand its benefits as a database system.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Snowflake

MARCH 30, 2023

Use Snowflake’s native Kafka Connector to configure Kafka topics into Snowflake tables. Snowflake can also ingest external tables from on-premise s data sources via S3-compliant data storage APIs.

Engineering 105

Engineering Raw Data Data Science Machine Learning 105