Start Data Engineering

MAY 11, 2022

Data lake structure 5. Loading user purchase data into the data warehouse 5.2 Loading classified movie review data into the data warehouse 5.3 Introduction 2. Objective 3. Prerequisite 4.2 AWS Infrastructure costs 4.3 Code walkthrough 5.1 Generating user behavior metric 5.4. Checking results 6.

Data Engineering 246

Data Engineering Data Engineer Project Data Lake 246

Seattle Data Guy

DECEMBER 19, 2022

Whether its helping increase revenue by finding new customers or reducing costs, all of it starts with data.

Data Lake 130

Data Lake Data Warehouse Database Data Storage 130

Data Engineering Weekly

MARCH 3, 2024

Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup. There will be food, networking, and real-world talks around data engineering.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Data Engineering Podcast

MAY 15, 2022

Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a platform that relies on a data lake as its central architectural tenet adds additional layers of difficulty. Missing data? Struggling with broken pipelines? Stale dashboards?

Data Lake 100

Data Lake Building BI Business Intelligence 100

KDnuggets

JANUARY 16, 2023

In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

Data Lake 108

Data Lake SQL Data IT 108

Data Engineering Podcast

MAY 22, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Data Engineering Podcast

NOVEMBER 2, 2020

Summary Data lakes are gaining popularity due to their flexibility and reduced cost of storage. Along with the benefits there are some additional complexities to consider, including how to safely integrate new data sources or test out changes to existing pipelines.

Data Lake 100

Data Lake PostgreSQL Datasets Machine Learning 100

Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

Data Lake 100

Data Lake Hadoop Data Architecture 100

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

MARCH 28, 2024

Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 All these numbers point to one thing–increased job roles and careers, especially when we talk about data engineering jobs in Azure, which are on the rise every year. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Data Engineering Weekly

FEBRUARY 4, 2024

Joe Reis: Definition of Data Modeling & What Data Modeling Is not Joe raised a very fundamental question in data engineering. What is Data Modeling, and what is not? He rightly points out that many data engineers will name any of the modeling techniques as data modeling.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

Data Engineering Weekly

DECEMBER 25, 2023

Welcome to another insightful edition of Data Engineering Weekly. As we approach the end of 2023, it's an opportune time to reflect on the key trends and developments that have shaped the field of data engineering this year. In conclusion, 2023 has been a year of significant developments and shifts in data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Data Engineering Weekly

MARCH 24, 2024

Dive into Spyne's experience with: - Their search for query acceleration with pre-aggregations and caching - Developing new functionality with Open AI - Optimizing query cost with their data warehouse [link] Suresh Hasuni: Cost Optimization Strategies for Scalable Data Lakehouse Cost is the major concern as the adoption of data lakes increases.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

SEPTEMBER 25, 2023

This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? Who is an Azure Data Engineer? Azure Data Engineers work with these and other solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Podcast

JULY 10, 2022

Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

NOVEMBER 11, 2018

Summary A data lake can be a highly valuable resource, as long as it is well built and well managed. In this episode Yoni Iny, CTO of Upsolver, discusses the various components that are necessary for a successful data lake project, how the Upsolver platform is architected, and how modern data lakes can benefit your organization.

Data Lake 100

Data Lake Building Cloud Kafka 100

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. In 2022, data engineering will hold a share of 29.8%

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

phData: Data Engineering

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Christophe Blefari

FEBRUARY 23, 2024

JVM vs. SQL data engineer — There's a big discussion in the community about what real data engineering is. Is it lake or warehouse? It's a sterile debate: both are useful and can serve different organisations with different service level for data users and stakeholders.

Data Lake 130

Data Lake PostgreSQL MongoDB Scala 130

Data Engineering Weekly

JUNE 25, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

DECEMBER 28, 2023

Its comprehensive suite of services can handle data at scale. It’s no surprise that the demand for certified Azure data engineers has skyrocketed. Today, Azure Data Engineer certification is an invaluable asset for those looking to excel in the field of data engineering. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

JULY 17, 2022

Summary Data engineering is a large and growing subject, with new technologies, specializations, and "best practices" emerging at an accelerating pace. RudderStack helps you build a customer data platform on your warehouse or data lake. Data teams are increasingly under pressure to deliver.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

APRIL 16, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Engineering 100

Data Engineering Data Engineer Engineering IT 100

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. What are Data Engineering Projects?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Data Engineering Weekly

JUNE 12, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

Monte Carlo

JUNE 2, 2021

With the new Databricks integration from Monte Carlo, teams working in data lakes can finally trust their data through end-to-end data observability and automated lineage of their entire data ecosystem. Over the last few years, data lakes have emerged as a must-have for the modern data stack.

Data Lake 52

Data Lake Machine Learning Unstructured Data Datasets 52

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

DECEMBER 29, 2022

No one wants to read marketing fluff, especially not data engineers. Everyone understands that data lineage and data pipeline monitoring are important, but the real question is, “how do you build it?” Building Spark Lineage For Data Lakes Everyone writes about the successful projects, but you learn more from the failures.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Weekly

MARCH 19, 2023

The author defines Data Product as the combination of Datasets Domain Access It is an exciting time for the data industry as we are increasingly talking about philosophies to adopt data in an organization than technology complexities such as Hadoop, Spark, etc., What is your choice of Orchestration Engine?

Data Engineering 57

Data Engineering Data Engineer Engineering Media 57

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Data Engineer, der gefragteste Job des 21sten Jahrhunderts?

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52