Lyft Engineering

OCTOBER 3, 2023

We can also evaluate timeliness of partitions and table landing times in data orchestration. Finally, as the subject of this blog post, we can assess data quality via batch compute analytics on our data warehouse, providing a comprehensive albeit slower evaluation compared to the previously mentioned methods.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes.

Kafka 78

Kafka Data Cloud Big Data 78

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

Confluent

JUNE 26, 2019

I see this pattern coming up more and more in the field in conjunction with Apache Kafka ®. In these projects, microservice architectures use Kafka as an event streaming platform. Apache Kafka – An event streaming platform for microservices. So why is Kafka such a good fit? Apache Kafka and domain-driven microservices.

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Kafka Designing Architecture ETL Tools 109

Data Engineering Weekly

FEBRUARY 25, 2024

link] Berkeley Artificial Intelligence Research (BAIR): The Shift from Models to Compound AI Systems The Berkeley AI Research (BAIR) blog discusses the evolution from focusing on single large language models (LLMs) to developing compound AI systems that integrate multiple components, including LLMs, for superior performance.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

Big Data 52

Big Data Project Metadata Programming Language 52

Cloudera

DECEMBER 2, 2020

This is the first installment in a short series of blog posts about security in Apache Kafka. Secured Apache Kafka clusters can be configured to enforce authentication using different methods, including the following: SSL – TLS client authentication. We use the kafka-console-consumer for all the examples below.

Kafka 67

Kafka Java Big Data Ecosystem Cloud 67

Rockset

JULY 28, 2022

CDC enables true real-time analytics on your application data, assuming the platform you send the data to can consume the events in real time. Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Uber Engineering

AUGUST 3, 2018

Data powers Uber’s global marketplace, enabling more reliable and seamless user experiences across our products for riders, … The post Databook: Turning Big Data into Knowledge with Metadata at Uber appeared first on Uber Engineering Blog.

Metadata 110

Metadata Big Data Transportation Data 110

Cloudera

JANUARY 31, 2024

Streams Replication Manager (SRM) is an enterprise-grade replication solution that enables fault tolerant, scalable, and robust cross-cluster Kafka topic replication. SRM replicates data at high performance and keeps topic properties in sync across clusters. Starting with Cloudera Data Platform (CDP) Private Cloud Base 7.1.9,

Management 69

Management Kafka Big Data Cloud 69

Jesse Anderson

DECEMBER 12, 2022

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Apache Kafka came in 2011 and gave the industry a much better way to move real-time data. Apache Kafka has its architectural limitations, and Apache Pulsar was released in 2016.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

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

Confluent

MAY 15, 2019

Driven by this, we designed and delivered an architecture using Apache Kafka ® and the Confluent Platform. Let’s first discuss the streams of data going into Oracle WMS Cloud: Figure 2. Streaming data into Oracle WMS Cloud. Streaming data out of Oracle WMS Cloud. Streaming data out of Oracle WMS Cloud.

Kafka 89

Kafka ETL Tools Cloud Data Integration 89

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

Data Engineering Weekly

JULY 30, 2023

😄🎢🚀 High Scalability: Lessons Learned Running Presto At Meta Scale Presto, potentially ranking as one of the most influential open-source initiatives of the past ten years, stands shoulder to shoulder with the likes of Apache Kafka. Oh, just throw this data in S3 and possibly apply intelligent tiering.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Data Engineering Weekly

DECEMBER 24, 2023

With Rudderstack and Trino, you can also create custom SQL queries for building data models — execute these using Trino via RudderStack and seamlessly deliver your data to your downstream business tools. The blog explores how Google uses ML to improve the efficiency of ML workloads! Read the announcement for more details.

Data Engineering 62

Data Engineering Data Engineer Engineering Deep Learning 62

Netflix Tech

JANUARY 13, 2022

This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure. Since the data platform manages keystone pipelines, users expect platform issues to be detected and remediated by the Keystone team without any involvement from their end.

Kafka 95

Kafka Big Data Data Machine Learning 95

Christophe Blefari

MARCH 17, 2023

In the article Grab team explain how to migrated from roles to attributes autorisation on Kafka. With recursive CTEs he implemented sklearn linear model and the code is not even that big. Data with Rust — This is a handbook that will showcase how to work in data engineering with Rust.

Data 130

Data SQL Deep Learning Kafka 130

Advancing Analytics: Data Engineering

APRIL 23, 2020

In this blog series I will break down some of the barriers and myths hindering mere mortals from learning Scala, and hopefully set some of you on the path to FP enlightenment within your data projects What is Scala and who uses it? Other popular software/frameworks written Scala include Kafka, akka and play.

Scala 52

Scala Big Data Data Engineering Data Engineer 52

Big Data Tools

MAY 19, 2022

YuniKorn 1.0.0 – If you’ve been anxiously waiting for Kubernetes to come to data engineering, your wishes have been granted. is a scheduler targeting big data and ML workflows, and of course, it is cloud-native. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

YuniKorn 1.0.0 – If you’ve been anxiously waiting for Kubernetes to come to data engineering, your wishes have been granted. is a scheduler targeting big data and ML workflows, and of course, it is cloud-native. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

JUNE 8, 2022

Kafka: Mark KRaft as Production Ready – One of the most interesting changes to Kafka from recent years is that it now works without ZooKeeper. This is possible thanks to implementations of KRaft, a Raft consensus protocol designed specifically for the needs of Kafka. Of course, the main topic is data streaming.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

Kafka: Mark KRaft as Production Ready – One of the most interesting changes to Kafka from recent years is that it now works without ZooKeeper. This is possible thanks to implementations of KRaft, a Raft consensus protocol designed specifically for the needs of Kafka. Of course, the main topic is data streaming.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

LinkedIn Engineering

OCTOBER 19, 2023

To enable the ingestion and real-time processing of enormous volumes of data, LinkedIn built a custom stream processing ecosystem largely with tools developed in-house (and subsequently open-sourced). In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure.

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Process Lambda Architecture Kafka Machine Learning 119

Data Engineering Weekly

FEBRUARY 12, 2023

Data Engineering Weekly readers can use the DataWeekly20 promo code to get a 20% discount on the ticket price. Link to Register: [link] Promo Code: DataWeekly20 MotherDuck: Big Data is Dead All large data sets are generated over time. Time is almost always an axis in a data set. New orders come in every day.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Big Data Tools

JULY 13, 2022

There are also multiple improvements for streaming support (for Kafka and Kinesis ), along with many other changes. It wouldn’t be quite right to call it “Kafka on steroids” because it includes lots of batteries. Of course, the main topic is data streaming, as always. That wraps up June’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JULY 13, 2022

There are also multiple improvements for streaming support (for Kafka and Kinesis ), along with many other changes. It wouldn’t be quite right to call it “Kafka on steroids” because it includes lots of batteries. Of course, the main topic is data streaming, as always. That wraps up June’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

DECEMBER 26, 2023

This is the reason why Data Science and big data analytics are at the cutting edge of every industry. The top companies that hire data engineers are as follows: Amazon It is the largest e-commerce company in the US founded by Jeff Bezos in 1944 and is hailed as a cloud computing business giant.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Cloudera

NOVEMBER 3, 2023

Cloudera was named as IBM’s preferred partner of choice for Real-Time Data Movement using Kafka. Winning CEMEA Partner of the Year for the second time in a row not only recognizes our joint success but also illuminates SVA’s high level of expertise in setting up and operating big data projects on CDP.

AWS 98

AWS Technology Amazon Web Services Insurance 98

Big Data Tools

AUGUST 3, 2021

Row-access policies in Snowflake – Snowflake is one of the most well-known unicorns in the world of Big Data. Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. 5 Reasons to Choose Pulsar Over Kafka – The author states his bias upfront, which is nice.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

Row-access policies in Snowflake – Snowflake is one of the most well-known unicorns in the world of Big Data. Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. 5 Reasons to Choose Pulsar Over Kafka – The author states his bias upfront, which is nice.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 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! Even if a meteorite hits your data center, your big data is still going to be safe!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

DECEMBER 21, 2023

There are several data engineer career opportunities in the field of data engineering, ranging from entry-level positions to senior management roles to Big Data engineer career job roles. Here are the different job opportunities in the field of data engineering. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Edureka

FEBRUARY 9, 2023

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. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Christophe Blefari

JANUARY 20, 2024

📬 Subscribe to the excellent weekly newsletter 📬 A bit of context It's important to take a step back and to understand from where the data engineering is coming from. Data engineering inherits from years of data practices in US big companies. Understand Change Data Capture — CDC.

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Data Engineering Data Engineer Engineering Hadoop 130