Cloudera

SEPTEMBER 29, 2022

They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Each of these architectures has its own unique strengths and tradeoffs.

Data Lake 95

Data Lake Data Warehouse Cloud Unstructured Data 95

Towards Data Science

JULY 30, 2024

Rethinking data warehousing: Why redefinition is necessary even beyond Modern Data Warehouse (MDW) and Lakehouse Models Continue reading on Towards Data Science »

Data Warehouse 57

Data Warehouse Data Science Data Data Architecture 57

Monte Carlo

APRIL 16, 2022

The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Treating data like an API. Immutable data warehouses have challenges too.

Data Warehouse 52

Data Warehouse Architecture Data Data Architect 52

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Snowflake

JULY 27, 2023

Over the course of this journey, HomeToGo’s data needs have evolved considerably. It also came with other advantages such as independence of cloud infrastructure providers, data recovery features such as Time Travel , and zero copy cloning which made setting up several environments — such as dev, stage or production — way more efficient.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Confluent

OCTOBER 30, 2020

A fundamental challenge with today’s “data explosion” is finding the best answer to the question, “So where do I put my data?” while avoiding the longer-term problem of data warehouses, […].

Data Architecture 119

Data Architecture Architecture Kafka Building 119

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. If you are evaluating your options for building or migrating a data platform, then this is definitely worth a listen.

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Data Engineering Podcast

JULY 3, 2022

Summary The ecosystem for data tools has been going through rapid and constant evolution over the past several years. These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. Tired of deploying bad data?

Architecture 100

Architecture Metadata MongoDB MySQL 100

Snowflake

JANUARY 30, 2023

By running data warehouse and data engineering workloads on Snowflake’s Data Cloud Ramp improves performance and user experience, while delivering powerful insights to customers quickly. How do you scale seamlessly, without worrying about keeping the lights on?

Data Architecture 52

Data Architecture Architecture Management Datasets 52

Acceldata

DECEMBER 19, 2022

Avoid these three data pitfalls when attempting to modernize your data architecture with a data lake or data warehouse.

Data Lake 52

Data Lake Data Warehouse Data Architecture Data 52

Data Engineering Podcast

OCTOBER 14, 2019

Summary Managing a data warehouse can be challenging, especially when trying to maintain a common set of patterns. We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Data Engineering Weekly

AUGUST 6, 2024

CDC tools fuel analytical apps and mission-critical data feeds in banking and regulated industries, with use cases ranging from data synchronization, managing risk, and preventing fraud to driving personalization. This approach simplifies data architecture and enhances performance by reducing data movement and latency.

Data Lake 125

Data Lake Data Warehouse Database Data Architecture 125

Data Engineering Podcast

JULY 8, 2019

Summary The market for data warehouse platforms is large and varied, with options for every use case. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Coming up this fall is the combined events of Graphorum and the Data Architecture Summit.

Data Warehouse 100

Data Warehouse MySQL Hadoop Data Lake 100

Towards Data Science

JANUARY 16, 2024

My personal take on justifying the existence of Data Mesh A senior stakeholder at one my projects mentioned that they wanted to decentralise their data platform architecture and democratise data across the organisation. When I heard the words ‘decentralised data architecture’, I was left utterly confused at first!

Data Warehouse 64

Data Warehouse Data Architecture Relational Database NoSQL 64

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

Cloudyard

MARCH 4, 2023

Read Time: 5 Minute, 16 Second As we know Snowflake has introduced latest badge “Data Cloud Deployment Framework” which helps to understand knowledge in designing, deploying, and managing the Snowflake landscape. Respective Cloud would consume/Store the data in bucket or containers. Snowpipe to automate the ingestion process.

Architecture 52

Architecture Cloud Metadata Data Ingestion 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

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Data Engineering Podcast

JUNE 17, 2023

Summary Architectural decisions are all based on certain constraints and a desire to optimize for different outcomes. In data systems one of the core architectural exercises is data modeling, which can have significant impacts on what is and is not possible for downstream use cases.

Data Lake 130

Data Lake Metadata Machine Learning Data Architecture 130

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

AltexSoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

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? Data warehouse vs data lake vs data lakehouse: What’s the difference.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

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 82

Data Engineering Data Engineer Engineering Data Lake 82

RandomTrees

SEPTEMBER 27, 2024

Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Cloudera

AUGUST 20, 2024

Trusted data is what makes the outputs of AI not just accurate, but impactful in decision making. Ensuring data is trustworthy comes with its own complications. Cloudera’s State of Enterprise AI and Modern Data Architecture survey identified several challenges when it comes to data.

Data Lake 78

Data Lake Government Data Governance Data Architecture 78

Rockset

APRIL 26, 2023

We’ve noticed many common patterns across streaming data architectures and we’ll be sharing a blueprint for three of the most popular: anomaly detection, IoT, and recommendations. The majority of anomaly detectors require streaming data, real-time data and historical data in order to generate inferences.

Architecture 52

Architecture Transportation Data Lake Insurance 52

AltexSoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two.

Architecture 52

Architecture Data Lake Medical Datasets 52

Scott Logic

APRIL 18, 2024

In this episode, Oliver Cronk, Andrew Carr and David Hope talk about the ever-changing world of data, with conversations moving from data warehouse to data lake, and data mesh to data fabric.

Data Lake 59

Data Lake Data Warehouse Data Architecture Architecture 59

Cloudera

AUGUST 21, 2024

The root of the problem comes down to trusted data. Pockets and siloes of disparate data can accumulate across an enterprise or legacy data warehouses may not be equipped to properly manage a sea of structured and unstructured data at scale.

Unstructured Data 64

Unstructured Data Business Intelligence Data Architecture Data Warehouse 64

Monte Carlo

NOVEMBER 22, 2024

Let’s walk through how to transform your scrappy data setup into a robust pipeline that’s ready to grow with your business. Gone are the days of just dumping everything into a single database; modern data architectures typically use a combination of data lakes and warehouses.

Data Engineering 52

Data Engineering Data Engineer Building Engineering 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Weekly

DECEMBER 2, 2023

Revisiting The Current State of Data Infrastructure Let’s revisit the current state of the data infrastructure before discussing the S3 Express. There are two critical properties of data warehouse access patterns. Data freshness matters a lot—the more recent the data, the more frequently it is accessed.

IT 85

IT BI AWS Kafka 85

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

Simon Späti

NOVEMBER 28, 2018

However, this is still not common in the Data Warehouse (DWH) field. 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. These days, everyone talks about open-source.

Data Warehouse 130

Data Warehouse Data Storage Data Architecture Architecture 130

Striim

AUGUST 20, 2024

One powerful way to achieve this transformation is by modernizing data architecture and migrating to the cloud. For retailers, modernizing data architecture is not just about upgrading technology—it’s about empowering teams with better, faster access to data while future-proofing their infrastructure.

Retail 52

Retail Cloud Google Cloud Data Architecture 52

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52