Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Architecture Data Governance Government 62

KDnuggets

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lake 139

Data Lake Data Warehouse Data Storage Data 139

Simon Späti

NOVEMBER 28, 2018

In my recent blog, I researched OLAP technologies, for this post I chose some open-source technologies and used them together to build a full data architecture for a Data Warehouse system. I went with Apache Druid for data storage, Apache Superset for querying and Apache Airflow as a task orchestrator.

Data Warehouse 130

Data Warehouse Data Storage Data Architecture Architecture 130

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Data Storage Solutions As we all know, data can be stored in a variety of ways.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Hevo

DECEMBER 15, 2024

Introduction to Data Architecture Data architecture shows how data is managed, from collection to transformation to distribution and consumption. It tells about how data flows through the data storage systems. Data architecture is an important piece of data management.

Data Architecture 40

Data Architecture Architecture Data Storage Data 40

ProjectPro

JUNE 6, 2025

A data architect builds, deploys, and manages an organization's data architecture. They contribute to developing data principles and standards by converting business requirements into technical requirements. As a result, they help in data storage, data collection, data system access, and data security.

Data Architect 40

Data Architect Data Engineer Data Engineering Building 40

ProjectPro

JUNE 6, 2025

According to the Data Management Body of Knowledge, a Data Architect "provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture." What Does a Data Architect Do?

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Over the past few years, there has been remarkable progress in two fields: data storage and warehousing. This is primarily due to the growth and development of cloud-based data storage solutions, which enable organizations across all industries to scale more efficiently, pay less upfront, and perform better.

Big Data 40

Big Data Project Bytes Google Cloud 40

ProjectPro

JUNE 6, 2025

An ETL (Extract, Transform, Load) Data Engineer is responsible for designing, building, and maintaining the systems that extract data from various sources, transform it into a format suitable for data analysis, and load it into data warehouses, lakes, or other data storage systems.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

Striim

MARCH 21, 2025

In-flight data processing reduces the time needed for data preparation as it delivers the data in a consumable form.

MongoDB 52

MongoDB Data Warehouse MySQL Hadoop 52

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 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. The combination of stream processing + OLAP storage like Pinot.

IT 85

IT BI Kafka AWS 85

ProjectPro

JUNE 6, 2025

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. The following table illustrates the key differences between these roles.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Data Analytics The Data Warehouse Engineer performs an analytical role by analyzing business requirements for monitoring analysis efficiently and accurately, turning relevant insights into effective technical data architectures. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects.

Data Warehouse 40

Data Warehouse Engineering Business Intelligence Google Cloud 40

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Benjamin Kennedy, Cloud Solutions Architect at Striim, emphasizes the outcome-driven nature of data pipelines.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? Snowflake Data Warehouse Snowflake is a cloud-based data analytics and storage service provider.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Concepts such as data modeling , ETL (Extract, Transform, Load) processes, and data storage in a warehouse environment will be helpful for beginners who are willing to learn Snowflake Datawarehouse. You must begin by understanding key data modeling concepts such as tables, columns, schemas, and relationships.

Data Warehouse 40

Data Warehouse SQL AWS Big Data 40

phData: Data Engineering

FEBRUARY 21, 2025

Prior to making a decision, an organization must consider the Total Cost of Ownership (TCO) for each potential data warehousing solution. On the other hand, cloud data warehouses can scale seamlessly. Vertical scaling refers to the increase in capability of existing computational resources, including CPU, RAM, or storage capacity.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? Its analytical skills enable companies to gain significant insights from their data and make better decisions.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

Data Lake 98

Data Lake Data Warehouse Data Architecture Architecture 98

ProjectPro

JUNE 6, 2025

The Azure DP 203 certification equips you with the skills and knowledge needed to navigate the Azure data ecosystem with confidence and expertise. This certification validates your ability to design and implement Microsoft Azure data storage solutions. Table of Contents Why Enroll for DP 203: Data Engineering on Microsoft Azure?

Certification 40

Certification Data Storage Big Data Data Engineer 40

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Data 52

ProjectPro

JUNE 6, 2025

This certification attests to your proficiency in building scalable and efficient data pipelines , understanding the principles of data security, and optimizing performance for diverse analytics workloads. Why Should You Get AWS Data Engineer Associate Certification? What does AWS data engineer do? PREVIOUS NEXT <

AWS 40

AWS Certification Data Engineer Data Engineering 40

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Monte Carlo

FEBRUARY 9, 2023

Over the past several years, data warehouses have evolved dramatically, but that doesn’t mean the fundamentals underpinning sound data architecture needs to be thrown out the window. While data vault has many benefits, it is a sophisticated and complex methodology that can present challenges to data quality.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52

Cloudera

NOVEMBER 1, 2022

Translation: Government agencies — especially those under the Department of Defense (DoD) — have use cases that require data storage and analytic workloads to be maintained on premises to retain absolute control of data security, privacy, and cost predictability. . It’s here where the private cloud delivers.

Cloud 89

Cloud Government Cloud Computing Data Architecture 89

ProjectPro

JUNE 6, 2025

AWS Data Engineering is one of the core elements of AWS Cloud in delivering the ultimate solution to users. AWS Data Engineering helps big data professionals manage Data Pipelines, Data Transfer, and Data Storage. Table of Contents Who is an AWS Data Engineer? What Does an AWS Data Engineer Do?

AWS 45

AWS Data Engineer Data Engineering Amazon Web Services 45

Towards Data Science

DECEMBER 15, 2023

I am the first senior machine learning engineer at DataGrail, a company that provides a suite of B2B services helping companies secure and manage their customer data. Data that isn’t interpretable generates little value if any, because you can’t effectively learn from data you don’t understand. Do you keep all data forever?

Machine Learning 98

Machine Learning Data Science Data Security Cloud Storage 98

ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Skills Mastering Data Engineering Skills: An Introduction to What is Data Engineering Data engineering is the process of designing, developing, and managing the infrastructure needed to collect, store, process, and analyze large volumes of data. 2) Does data engineering require coding?

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

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

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Cloud 87

Cloud Cloud Computing Hadoop Data Warehouse 87

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake. Data lake architecture example.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

JUNE 6, 2025

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

It covers Snowflake architecture , SQL essentials, data loading, data security, and basic administration. Snowflake SnowPro Advanced: Architect Certification Image Source: learn.snowflake.com/ This certification validates proficiency in implementing comprehensive architectural solutions using Snowflake.

Certification 40

Certification Data Pipeline Hadoop AWS 40

ProjectPro

JUNE 6, 2025

This beginner's guide will give you a detailed overview of Azure Synapse Analytics and its architecture to help you build enterprise-grade data pipelines for your next data analytics project. Why Use Azure Synapse Analytics For Big Data Analytics Projects? Table of Contents What is Azure Synapse Analytics?

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

So, let’s dive into the list of the interview questions below - List of the Top Amazon Data Engineer Interview Questions Explore the following key questions to gauge your knowledge and proficiency in AWS Data Engineering. Become a Job-Ready Data Engineer with Complete Project-Based Data Engineering Course !

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

Cloudera

AUGUST 21, 2024

The Awards showcase IT vendor offerings that provide significant technology advances – and partner growth opportunities – across technology categories including AI and AI infrastructure, cloud management tools, IT infrastructure and monitoring, networking, data storage, and cybersecurity.

Unstructured Data 66

Unstructured Data Business Intelligence Data Architecture Data Warehouse 66