Workfall

JUNE 27, 2023

It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly. Kafka can also be used to stream data from IoT devices or sensors. Let’s get started!

Kafka 75

Kafka Architecture AWS Transportation 75

Monte Carlo

NOVEMBER 21, 2024

Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way. That’s where data pipeline design patterns come in. Lambda Architecture Pattern 4.

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Data Storage : Store validated data in a structured format, facilitating easy access for analysis.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

MARCH 14, 2024

Azure architecture includes all the ideas and elements needed to build a safe, dependable, and scalable cloud application. The resources are distributed across multiple data centers and global areas, adhering to a distributed paradigm. What Is Microsoft Azure Cloud Architecture? What are the key components of Azure Architecture?

Architecture 52

Architecture Cloud Computing Utilities Machine Learning 52

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 Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Edureka

APRIL 22, 2025

It’s challenging to integrate data from various sources and manage massive data pipelines while preserving high performance and dependability. The difficulty is in creating scalable and resilient architectures. Advanced Data Visualisation Tools More people will want data visualization tools that are easier to use.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

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 Government Data Governance 62

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

MARCH 2, 2025

[link] Sneha Ghantasala: Slow Reads for S3 Files in Pandas & How to Optimize it DeepSeek’s Fire-Flyer File System (3FS) re-triggers the importance of an optimized file system for efficient data processing.

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

Data Engineering Weekly

FEBRUARY 2, 2025

[link] Adam Bellemare & Thomas Betts: The End of the Bronze Age: Rethinking the Medallion Architecture I’m always a bit uncomfortable with medallion architecture since it is a glorified term for the traditional ETL process. link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 58

Data Engineering Data Engineer Engineering Data Lake 58

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Storage layer 3.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Storage layer 3.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

ThoughtSpot

NOVEMBER 5, 2024

It stores all the metadata created within a ThoughtSpot instance to enable efficient querying, retrieval, and management of data objects. While Atlas operates as an in-memory graph database for speed and performance, it uses PostgreSQL as its persistent storage layer to ensure durability and long-term data storage.

Metadata 52

Metadata PostgreSQL Java Database 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

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

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

Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. An overview of the RAG architecture with a vector database used to minimize hallucinations in the chatbot application.

Machine Learning 110

Machine Learning Data Ingestion Database Architecture 110

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

Engineering at Meta

MARCH 12, 2024

Through careful co-design of the network, software, and model architectures, we have successfully used both RoCE and InfiniBand clusters for large, GenAI workloads (including our ongoing training of Llama 3 on our RoCE cluster) without any network bottlenecks.

Building 145

Building Portfolio Utilities Data Storage 145

Engineering at Meta

MARCH 6, 2024

Our technical solution builds on Meta’s existing client / server architecture We think the best way to deliver interoperability is through a solution which builds on Meta’s existing client / server architecture [Figure 1]. The proof is constructed by the third-party service cryptographically signing an authentication token.

Media 135

Media Architecture Metadata Data Storage 135

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

Cloudera

OCTOBER 1, 2020

Since 2013 the UK Government’s flagship ‘Cloud First’ policy has been at the forefront of enabling departments to shed their legacy IT architecture in order to meaningfully embrace digital transformation. Whilst two of the big three have UK data centres – what happens if they go down?

Government 127

Government Cloud Data Storage Architecture 127

Engineering at Meta

JUNE 12, 2024

Storage We need efficient data-storage solutions to store the vast amounts of data used in model training. This involves investing in high-capacity and high-speed storage technologies and developing new data-storage solutions for specific workloads.

Algorithm 129

Algorithm Data Storage Technology Building 129

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

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

Knowledge Hut

APRIL 25, 2024

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

Big Data 98

Big Data Technology Hadoop NoSQL 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

Cloudera

MAY 9, 2024

Hybrid Horses for Courses: The Right Cloud for AI from Pilot to Production at Scale Later, on May 14 at 12:40 pm BST , hear from Mark Samson, one of Cloudera’s solutions engineering directors, on whether a data center or cloud deployment is best for your organization’s data platform and architecture.

Banking 102

Banking Data Storage Data Analytics Cloud 102

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. A conceptual architecture illustrating this is shown in Figure 3.

Metadata 117

Metadata Healthcare Medical Data Storage 117

Snowflake

JUNE 3, 2024

Either way, they want the freedom to safely use multiple engines on a single copy of data to minimize the storage and compute costs associated with moving data or maintaining multiple copies. Catalogs play a critical role in a multi-engine architecture.

Amazon Web Services 143

Amazon Web Services Google Cloud Data Architect Government 143

Towards Data Science

JULY 5, 2023

∘ Introduction ∘ Problem Statement ∘ Data ∘ AWS Architecture ∘ Data Storage with AWS S3 ∘ Designing the Schema ∘ ETL with AWS Glue ∘ Data Warehousing with AWS Redshift ∘ Extracting Insights…

AWS 75

AWS BI Data Storage Architecture 75

Data Engineering Podcast

SEPTEMBER 12, 2021

What are some of the tools and system architectures that users turn to when building analytical workloads for data stored in Cassandra? The architecture of Cassandra has lent itself well to the cloud native ecosystem that has been growing in recent years. Cassandra is primarily used as a system of record.

Database 100

Database Kafka Metadata Data Storage 100

Snowflake

APRIL 18, 2024

Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Snowflake allows security teams to store all their data in a single platform and maintain it all in a readily accessible state, with virtually unlimited cloud data storage capacity.

Data Lake 109

Data Lake Data Ingestion Bytes Cloud Computing 109

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

Data Engineering Podcast

AUGUST 17, 2020

He also discusses the shifts in database architectures from vertically integrated monoliths to separately deployed layers, and the approach he is taking with TileDB cloud to embed the authorization into the storage engine, while providing a flexible interface for compute. How is the built in data versioning implemented?

Data Engineering 100

Data Engineering Data Engineer Engineering Database Design 100

Christophe Blefari

JANUARY 20, 2023

There is an introduction post about DataHub — when you look at what you have to run to launch a data catalog: 4 components and 4 different data storage. Don't be surprised if no ones uses data catalogs. When I think that some people are saying Airflow is complex to launch.

Google Cloud 130

Google Cloud Data Hadoop Machine Learning 130

Ascend.io

NOVEMBER 14, 2024

Scalability: How To Build Scalable Pipelines Scalability is a fundamental aspect of future-proofing your data pipelines. As data volumes grow, pipelines must efficiently handle increased loads without compromising performance. Here are three strategies to ensure your pipelines are scalable: a.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52