Cloudera

NOVEMBER 27, 2023

Earlier this month (November 6 through 8, 2023) a few hundred Apache Flink enthusiasts descended upon a Hyatt Regency Lake near Seattle for the annual Flink Forward conference. There are individual Flink clusters in production as big as 4 million cores and 2,000 cluster nodes, clocked at 4.1 Just Flink-oriented content and training.

Kafka 79

Kafka SQL ETL Tools Data Lake 79

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. What is Kafka? What Kafka is used for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

FEBRUARY 8, 2023

Did you know thousands of businesses, including over 80% of the Fortune 100, use Apache Kafka to modernize their data strategies? Apache Kafka is the most widely used open-source stream-processing solution for gathering, processing, storing, and analyzing large amounts of data. What is Apache Kafka Used For?

Kafka 52

Kafka Banking Medical Healthcare 52

Data Engineering Weekly

FEBRUARY 25, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: DEWCon Europe Update & Data Hero’s Chennai Chapter Meetup Last week, we asked our readers if we should bring DEWCon to Europe.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Data Engineering Weekly

DECEMBER 24, 2023

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. I love the rising, stable, and declining format for categorizing data engineering trends. Which data team org structure works very best for a company?

Data Engineering 62

Data Engineering Data Engineer Engineering Deep Learning 62

Cloudera

FEBRUARY 28, 2024

Businesses often need to aggregate topics because it is essential for organizing, simplifying, and optimizing the processing of streaming data. This blog post walks you through how you can use prefixless replication with Streams Replication Manager (SRM) to aggregate Kafka topics from multiple sources. All clusters contain Kafka.

Kafka 69

Kafka Management Big Data Architecture 69

Knowledge Hut

NOVEMBER 2, 2023

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

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. This design enables the re-reading of old messages.

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Kafka Python Process Google Cloud 79

Monte Carlo

MARCH 28, 2024

In recent years, we’ve seen all sorts of new job titles emerge that would have been inscrutable just a decade or two ago – cloud architect, data reliability engineer , data product manager , director of hybrid working, and yes, DataOps engineer. So what exactly IS a DataOps engineer? What does a DataOps engineer do? It depends!

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Pipeline-centric Engineering BI Google Cloud 75

Knowledge Hut

JANUARY 16, 2024

Look at the stats that show a positive trend for machine learning projects and careers. Another study from Indeed, the online job portal giant, revealed that machine learning engineers, data scientists, and software engineers with these skills are topping the list of most in-demand professionals. Machine learning produces predictions.

Machine Learning 94

Machine Learning Engineering Programming Language Algorithm 94

Data Engineering Podcast

JULY 6, 2020

Summary There are an increasing number of use cases for real time data, and the systems to power them are becoming more mature. Once you have a streaming platform up and running you need a way to keep an eye on it, including observability, discovery, and governance of your data. That’s what the Lenses.io

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Systems Kafka SQL Government 100

ProjectPro

FEBRUARY 21, 2023

With around 35k stars and over 26k forks on Github, Apache Spark is one of the most popular big data frameworks used by 22,760 companies worldwide. Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations.

Scala 52

Scala Programming Language Java Hadoop 52

Cloudera

JANUARY 31, 2024

Replication is a crucial capability in distributed systems to address challenges related to fault tolerance, high availability, load balancing, scalability, data locality, network efficiency, and data durability. SRM replicates data at high performance and keeps topic properties in sync across clusters.

Management 69

Management Kafka Big Data Cloud 69

Data Engineering Podcast

MARCH 2, 2020

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. Developers can work with the SQL constructs that they are familiar with while automatically getting the durability and reliability that Kafka offers.

Kafka 100

Kafka Process PostgreSQL MySQL 100

Data Engineering Podcast

SEPTEMBER 28, 2020

Summary Kafka has become a de facto standard interface for building decoupled systems and working with streaming data. To make the benefits of the Kafka ecosystem more accessible and reduce the operational burden, Alexander Gallego and his team at Vectorized created the Red Panda engine.

Kafka 100

Kafka BI Big Data Data Engineering 100

ProjectPro

FEBRUARY 18, 2022

The big data analytics market is expected to grow at a CAGR of 13.2 This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Let us now understand why the ETL pipelines hold such great value in Data Science and Analytics.

Project 52

Project AWS Kafka Healthcare 52

LinkedIn Engineering

JUNE 26, 2023

For example, developers can provision Kafka topics, Espresso tables, Venice stores and more via Nuage , our internal cloud-like infra management platform. Data pipelines power foundational parts of LinkedIn's infrastructure, including replication between data centers.

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Data Pipeline Kafka MySQL SQL 112

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. If you hand a book to a new data engineer, what wisdom would you add to it? The key to those solutions is a robust and flexible metadata management system.

Metadata 100

Metadata Management Kafka Data Engineering 100

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. You can leverage AWS Glue to discover, transform, and prepare your data for analytics.

AWS 52

AWS Data Lake Scala ETL Tools 52

Data Engineering Podcast

JANUARY 5, 2020

Summary Databases are useful for inspecting the current state of your application, but inspecting the history of that data can get messy without a way to track changes as they happen. If you have ever struggled with implementing your own change data capture pipeline, or understanding when it would be useful then this episode is for you.

Database 100

Database Kafka PostgreSQL MySQL 100

Data Engineering Podcast

DECEMBER 30, 2019

In order to support their customers, they need to capture, process, and analyze massive amounts of timeseries data with a high degree of uptime and reliability. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council.

Process 100

Process Building Hadoop Java 100

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. Apache Spark is one of the most popular frameworks for managing and dealing with Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

Striim

AUGUST 26, 2023

While Confluent is a well-known option for data streaming platforms, its complexity can pose significant challenges for businesses. Users often have to grapple with intricate, low-level Kafka elements like topics, brokers, partitions, taking focus away from more strategic tasks. Frequently Asked Questions What is Apache Kafka?

MongoDB 52

MongoDB Google Cloud Kafka AWS 52

AltexSoft

JULY 18, 2023

To some, the word Apache may bring images of Native American tribes celebrated for their tenacity and adaptability. These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 52

Knowledge Hut

MARCH 29, 2024

As this digitalized world is rapidly moving towards Artificial Intelligence , the generation of humongous data has become an integral part of our daily lives. The data has been and will continue to grow exponentially. With increasing data, the need to process and accumulate these large datasets becomes very critical.

Data Lake 52

Data Lake Scala Machine Learning SQL 52

Knowledge Hut

DECEMBER 21, 2023

Data Science is the world's most rapidly growing sector and data engineers are at the forefront. In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? What are the Data Engineer Career Opportunities?

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

NOVEMBER 15, 2021

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 52

Data Engineering Podcast

NOVEMBER 26, 2019

As they scaled the volume of customers and data they began running into the limitations of their initial architecture. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Data Warehouse 100

Data Warehouse Building PostgreSQL Kafka 100

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

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 83

Data Engineering Data Engineer Engineering Pipeline-centric 83

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. Apache Spark, Microsoft Azure, Amazon Web services, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

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? What is Kafka? Why Kafka vs RabbitMQ ?

Kafka 52

Kafka Big Data Java Architecture 52

Data Engineering Podcast

SEPTEMBER 21, 2020

Summary Data engineering is a constantly growing and evolving discipline. Daniel Molnar has dedicated his time to helping data professionals get back to basics through presentations at conferences and meetups, and with his most recent endeavor of building the Pipeline Data Engineering Academy.

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Data Engineering Data Engineer Engineering AWS 100