KDnuggets

APRIL 12, 2023

Top 19 Skills You Need to Know in 2023 to Be a Data Scientist • 8 Open-Source Alternative to ChatGPT and Bard • Free eBook: 10 Practical Python Programming Tricks • DataLang: A New Programming Language for Data Scientists… Created by ChatGPT? • How to Build a Scalable Data Architecture with Apache Kafka

Programming Language 75

Programming Language Kafka Data Architecture Python 75

Cloudera

MAY 30, 2024

They deployed a proof-of-concept version of CDP Private Cloud and CDP Public Cloud, facilitating the client’s exploration of Cloudera’s hybrid cloud functionalities and a new data model. What are some of the business use cases financial services customers are focused on to use AI?

Data Analytics 81

Data Analytics Banking Insurance Finance 81

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Rockset

JULY 21, 2020

90% of the apps in the world can be built on real-time data services. 90% of the features in your app can be built on real-time data services. Highly consistent services are highly expensive. Embrace real-time services.

Data Architecture 40

Data Architecture Architecture Building Programming Language 40

Cloudera

SEPTEMBER 28, 2020

The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. Lineage and chain of custody, advanced data discovery and business glossary. Kafka, SRM, SMM.

Cloud 132

Cloud Kafka Professional Services Metadata 132

Snowflake

DECEMBER 5, 2023

This lets them leverage the familiar development interface of a notebook while directing complex data preparation and feature engineering steps to run in Snowflake (rather than having to copy and manage copies of data inside their notebook instance).

AWS 105

AWS Amazon Web Services Government Cloud Computing 105

Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. ETL is central to getting your data where you need it.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

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.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Confluent

JULY 17, 2019

Together, MongoDB and Apache Kafka ® make up the heart of many modern data architectures today. Integrating Kafka with external systems like MongoDB is best done though the use of Kafka Connect. The official MongoDB Connector for Apache Kafka is developed and supported by MongoDB engineers. Getting started.

MongoDB 21

MongoDB Kafka Medical Database 21

Data Engineering Podcast

DECEMBER 8, 2019

Contact Info LinkedIn Website @KentGraziano on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Cloud Academy

JANUARY 27, 2022

Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do? A data engineer is an engineer who creates solutions from raw data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Netflix Tech

NOVEMBER 14, 2023

At Netflix, our backend microservices continuously generate real-time event data that gets streamed into Kafka. These raw events are the source of various data processing workflows within our team. We ingest this diverse event data and transform it into standardized fact tables.

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Data Engineering Podcast

OCTOBER 7, 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.

Structured Data 100

Structured Data Cloud SQL Programming Language 100

Advancing Analytics: Data Engineering

APRIL 23, 2020

Other popular software/frameworks written Scala include Kafka, akka and play. A great quote I read, though somewhat dramatic, articulates this nicely: “ Scala has taken over the world of ‘Fast’ Data ”. An example of how popular Scala based Software can be used within your data architecture is illustrated below.

Scala 52

Scala Big Data Data Engineering Data Engineer 52

Data Engineering Podcast

SEPTEMBER 18, 2019

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

Data Lake 100

Data Lake Hadoop BI Kafka 100

Data Engineering Podcast

JULY 22, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Upcoming events include the O’Reilly AI Conference, the Strata Data Conference, and the combined events of the Data Architecture Summit and Graphorum.

Data Lake 100

Data Lake Hadoop Data Architecture 100

Data Engineering Podcast

NOVEMBER 4, 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.

Programming Language 100

Programming Language Kafka Data Engineering Data Engineer 100

Data Engineering Podcast

OCTOBER 28, 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.

Building 100

Building Data Pipeline Programming Language Metadata 100

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

Cloudera

AUGUST 21, 2020

With hundreds of thousands of data points or endpoints or inputs, companies today have a deluge of data and in order to be able to handle that and distribute it to other applications that need that data in real-time, a solution like Apache Kafka can help distribute it to all the other applications.

Banking 62

Banking Kafka Cloud Storage Government 62

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

DECEMBER 7, 2021

What is a Big Data Pipeline? Data pipelines have evolved to manage big data, just like many other elements of data architecture. Big data pipelines are data pipelines designed to support one or more of the three characteristics of big data (volume, variety, and velocity).

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Monte Carlo

JULY 27, 2023

The most common use case data quality engineers support are: Analytical dashboards : Mentioned in 56% of job postings Machine learning or data science teams : Mentioned in 34% of postings Gen AI : Mentioned in one job posting (but really emphatically).

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Rockset

AUGUST 13, 2020

But what about your entire data architecture - what about the other data stores you need and how do you serve your BI and apps? How much of your data architecture has gone serverless? What parts of your current application stack are serverless?

BI 40

BI NoSQL Data Lake Architecture 40

ProjectPro

FEBRUARY 1, 2017

Veikkaus has developed a modern data architecture by pulling data from both digital and offline betting channels. HopsWork will help organizations host several sensitive datasets on the same hadoop cluster for dynamic role based access control for HDFS and Kafka. Source : [link] ) Bringing Hadoop to the mainframe.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Rockset

AUGUST 18, 2020

One example is an application that combines web analytics with customer data and social data to predict end user behavior, churn, LTV, or just serve more timely content.”

Data Lake 40

Data Lake Data Schemas BI Kafka 40

Knowledge Hut

NOVEMBER 17, 2023

Machine Learning Awareness : While data engineers aren't primarily focused on machine learning, having a basic understanding of machine learning concepts can facilitate collaboration with data scientists. Azure Data Engineer Exam Details If you wish to pursue a career as an Azure data engineer, you should pass the DP-203 exam.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Rockset

JANUARY 3, 2023

In the future, we expect to see a shift from companies using data pipelines to manage their data streaming needs to allowing this data to serve as a central nervous system so more people can derive smarter insights from it.” With data applications, the application is always on.

Data Warehouse 52

Data Warehouse Education Database Data 52

ProjectPro

JUNE 9, 2021

is required to become a Data Science expert. Expert-level knowledge of programming, Big Data architecture, etc., is essential to becoming a Data Engineering professional. Data Engineer vs. Data Scientist A LinkedIn report in 2021 shows data science and data engineering are among the top 15 in-demand jobs.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 30, 2023

The book focuses on developing scalable and real-time data systems, covering data modeling, processing, and distributed systems. It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

AltexSoft

AUGUST 29, 2023

Also, data lakes support ELT (Extract, Load, Transform) processes, in which transformation can happen after the data is loaded in a centralized store. A data lakehouse may be an option if you want the best of both worlds. Real-time ingestion immediately brings data into the data lake as it is generated.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Data Engineering Weekly

DECEMBER 2, 2023

The Current State of the Data Architecture S3 intelligent tiered storage provides a fine balance between the cost and the duration of the data retention. However, the real-time insight on accessing the recent data remains a big challenge. Previously, we even tried to query Kafka directly using Presto-Kafka Connector.

IT 85

IT BI AWS Kafka 85

Confluent

SEPTEMBER 19, 2019

When people ask me the very top-level question “why do people use Kafka,” I usually lead with the story in my last post , where I talked about how Apache Kafka ® is helping us deliver on the promises the cloud made to us a decade ago. But I follow it up quickly with a second and potentially unrelated pattern: real-time data pipelines.

Kafka 14

Kafka Data Pipeline Bytes Data Architect 14

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineering 80

Data Engineering Data Engineer Engineering Data Lake 80

Knowledge Hut

DECEMBER 21, 2023

Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Senior Data Engineer A senior data engineer is a more advanced position that involves leading the design, building, and data infrastructure maintenance. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52