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

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

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

Striim

MARCH 21, 2025

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

Data Warehouse 52

Data Warehouse MongoDB MySQL Hadoop 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 AWS Kafka 85

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

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 Hadoop Architecture 98

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

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 Datasets 52

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

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

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

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 Data Storage 98

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

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

Netflix Tech

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. In summary, this model was a tightly-coupled application-to-data architecture, where machine learning algos were mixed with the backend and UI/UX software code stack.

Media 122

Media Building Algorithm Machine Learning 122

Cloudera

AUGUST 9, 2022

Customers, especially those in regulated industries with strict data protection and compliance requirements, routinely ask a straightforward question of our technical strategy experts: what should I do if a catastrophe hits my business and threatens to take out my data platform? The CDP Disaster Recovery Reference Architecture.

Data Lake 78

Data Lake Data Warehouse Architecture Professional Services 78

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 40

Databand.ai

JUNE 28, 2023

They’re betting their business on it and that the data pipelines that run it will continue to work. Context is crucial (and often lacking) A major cause of data quality issues and pipeline failures are transformations within those pipelines. Most data architecture today is opaque—you can’t tell what’s happening inside.

Data Pipeline 98

Data Pipeline Data Engineer Data Engineering Engineering 98

Striim

AUGUST 5, 2024

Prepare to transform your understanding of data and cloud architecture with visionary CEO Alex Gallego of Redpanda. This episode promises invaluable insights into the shift from batch to real-time data processing, and the practical applications across multiple industries that make this transition not just beneficial but necessary.

Kafka 52

Kafka Data Storage Architecture Data Architecture 52

Data Engineering Weekly

DECEMBER 16, 2024

The Battle for Catalog Supremacy 2024 witnessed intense competition in the catalog space, highlighting the strategic importance of metadata management in modern data architectures. This architecture incorporates real-time query processing and semantic search capabilities, enabling faster and more accurate content discovery.

Data Engineer 62

Data Engineer Data Engineering Engineering Unstructured Data 62

AltexSoft

OCTOBER 30, 2021

Data engineer’s responsibilities — Development and Architecture. Data engineer’s integral task is building and maintaining data infrastructure — the system managing the flow of data from its source to destination. Engineers can build different types of architectures by mixing and matching these parts.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

phData: Data Engineering

APRIL 4, 2023

Today we want to introduce Fivetran’s support for Amazon S3 with Apache Iceberg, investigate some of the implications of this feature, and learn how it fits into the modern data architecture as a whole. Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Knowledge Hut

SEPTEMBER 26, 2023

This is particularly valuable in today's data landscape, where information comes in various shapes and sizes. Effective Data Storage: Azure Synapse offers robust data storage solutions that cater to the needs of modern data-driven organizations.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding.

Data Engineer 67

Data Engineer Data Engineering Engineering Pipeline-centric 67

Data Engineering Weekly

OCTOBER 13, 2024

link] Lak Lakshmanan: What goes into bronze, silver, and gold layers of a medallion data architecture? If I understand correctly, the gist of the article is where you position the common data model/ metrics that can be used across the organization. I think these layers are a guiding principle instead of a strict framework.

Data Engineer 52

Data Engineer Data Engineering Engineering PostgreSQL 52

AltexSoft

MAY 12, 2023

For example, developers can use Twitter API to access and collect public tweets, user profiles, and other data from the Twitter platform. Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

NOVEMBER 28, 2023

This increased the data generation and the need for proper data storage requirements. A data architect is concerned with designing, creating, deploying, and managing a business entity's data architecture. Due to the post-covid effect, most businesses switched their operations to online mode.

Data Architect 52

Data Architect Data Science Certification Big Data 52

Knowledge Hut

NOVEMBER 17, 2023

In the post, we will investigate how to become an Azure data engineer, the skills required, the roles and responsibilities of an Azure data engineer, and much more. Who is an Azure Data Engineer? You should possess a strong understanding of data structures and algorithms. The certification cost is $165 USD.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Knowledge Hut

MARCH 22, 2024

Through collaboration, we provide cloud-based solutions based on AWS services like EC2, S3, and RDS and perform architecture design, performance optimization, and cost efficiency analysis. Learn cloud architecture, pass the certification exam, and unlock new career opportunities. Manage data storage and build dashboards for reporting.

AWS 52

AWS Amazon Web Services Cloud Computing Computer Science 52

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 Engineer Data Engineering Engineering 52

Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. It was designed to support high-volume data exchange and compatibility across different system versions, which is essential for streaming architectures such as Apache Kafka.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

ProjectPro

JANUARY 19, 2022

An Azure Data Engineer is a highly qualified expert responsible for integrating, transforming, and merging data from various structured and unstructured sources into a structure used to construct analytics solutions. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52