Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

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 98

Data Engineering Data Engineer Engineering Data Lake 98

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?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 124

Architecture Metadata Kafka Government 124

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Telecommunication 76

Telecommunication Data Architecture Government Architecture 76

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery.

Medical 123

Medical Banking Telecommunication Government 123

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Cloudera Data Catalog (part of SDX) replaces data governance tools to facilitate centralized data governance (data cataloging, data searching / lineage, tracking of data issues etc. ).

Data Warehouse 82

Data Warehouse Data Governance Government Cloud 82

Snowflake

DECEMBER 12, 2023

Iceberg Tables bring the easy management and great performance of Snowflake to data stored externally in an open source format. Snowflake Horizon Seamless data governance with a new user experience in Snowsight – general availability Users can effortlessly explore objects of interest and perform essential actions—all without SQL.

Metadata 116

Metadata Python Government Database 116

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Data Lake 84

Data Lake Data Pipeline Analytics Application Architecture 84

Databand.ai

AUGUST 30, 2023

It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? Atlan Atlan offers a modern approach to data governance.

Data Governance 52

Data Governance Pipeline-centric Metadata Government 52

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Enterprise grade security and data governance – centralized data authorization to lineage and auditing.

Metadata 92

Metadata Data Architecture Machine Learning BI 92

Data Engineering Weekly

MARCH 3, 2024

link] Zendesk: dbt at Zendesk The Zendesk team shares their journey of migrating legacy data pipelines to dbt, focusing on making them more reliable, efficient, and scalable. The article also highlights sink-specific improvements and operator-specific enhancements that contribute to the overall performance boost.

Data Engineering 67

Data Engineering Data Engineer Engineering Pipeline-centric 67

Ascend.io

OCTOBER 8, 2024

Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Architecture 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. ABAC governance enables flexible and scalable policies that adapt to changing or new compliance regulations.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. ABAC governance enables flexible and scalable policies that adapt to changing or new compliance regulations.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. ABAC governance enables flexible and scalable policies that adapt to changing or new compliance regulations.

Retail 52

Retail Government Data Governance Unstructured Data 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. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Monte Carlo

MARCH 13, 2024

Let’s dig in and explore the landscape of the top so-called “data quality tools” — what they are, what they’re not, and whether they’re the right first step towards more reliable data. Governance helps companies set important standards and achieve higher levels of data security, data accessibility, and data quality.

Data Governance 52

Data Governance Government Metadata Data 52

Knowledge Hut

MARCH 20, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Knowledge Hut

MARCH 15, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Data Engineering Weekly

FEBRUARY 25, 2024

link] PayPal: Leveraging Spark 3 and NVIDIA’s GPUs to Reduce Cloud Cost by up to 70% for Big Data Pipelines PayPal's integration of Apache Spark 3 and NVIDIA GPUs has led to up to 70% cost savings in cloud expenses for big data and AI applications, processing petabytes of data across hundreds of thousands of jobs.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

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. The new kids on the table format block Within the last five or six years, as data management needs have grown in complexity and scale, newer table formats have emerged.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Monte Carlo

APRIL 4, 2023

Companies that adopt data mesh architecture view data as a product , and this view empowers domain teams (typically a business department like marketing) to own their own data pipelines. Beyond these details, there are three key structural and strategic differences for data mesh vs data warehouse.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture 52

Knowledge Hut

JULY 5, 2024

Future Developments: Evolution towards serverless architectures, automated scaling, and tighter integration with advanced cloud-based analytics. Data Mesh Implementation: Overview: Data Mesh, a decentralized approach, is gaining traction for scalable and domain-oriented data architecture.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Monte Carlo

JANUARY 23, 2023

But while most every company would consider themselves a “data-first” organization, not every data architecture is treated to the same level of democratization and scalability. In this post we’ll look at the dizzyingly buzzy data mesh and how it stacks up to the more traditional aggregated architectural approach of a data lake.

Data Lake 52

Data Lake Architecture Business Intelligence Data 52

Precisely

MARCH 14, 2023

We optimize these products for use cases and architectures that will remain business-critical for years to come. Manage data with a seamless, consistent design experience – no need for complex coding or highly technical skills. Simply design data pipelines, point them to the cloud environment, and execute.

Data Integration 52

Data Integration High Quality Data BI Data 52

Ascend.io

APRIL 20, 2023

This article highlights data mesh as an alternative to the status quo with a: Brief explanation of what data mesh is An overview of why data mesh is important Deep dive into the six major benefits of using a data mesh What Is a Data Mesh? This allows them to build and manage their data pipelines independently.

Government 52

Government Architecture Data Architecture Data Governance 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. DoorDash's implementation of Kafka multi-tenancy showcases how architectural decisions can significantly impact infrastructure costs.

Data Engineering 62

Data Engineering Data Engineer Engineering Unstructured Data 62

Monte Carlo

JULY 30, 2020

In the age of self-service business intelligence , nearly every company considers themselves a data-first company, but not every company is treating their data architecture with the level of democratization and scalability it deserves. Your company, for one, views data as a driver of innovation.

IT 45

IT Data Lake Architecture Data Architecture 45

Monte Carlo

APRIL 1, 2021

As a result, data teams going the the lake or even lakehouse route often struggle to answer critical questions about their data such as: Where does my data live? How can I use this data? Is this data up-to-date? How is this data being used by the business? Data discovery tools and platforms can help.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Government 52

Monte Carlo

JULY 27, 2023

The most common use case data quality engineers support are: Analytical dashboards : Mentioned in 56% of job postings Machine learning or data science teams : Mentioned in 34% of postings Gen AI : Mentioned in one job posting (but really emphatically). Assist in developing and maintaining data governance policies and standards.

Engineering 52

Engineering Healthcare Data Warehouse Machine Learning 52

Ascend.io

JULY 17, 2023

The core tenet of the data mesh is to distribute responsibility and governance of your data across different business “domains”. This is the opposite of having a single, monolithic data architecture managed by a centralized data team. Ready to take a look?

Architecture 52

Architecture Datasets Telecommunication Data Pipeline 52

Ascend.io

MAY 7, 2024

” Key Partnership Benefits: Cost Optimization and Efficiency : The collaboration is poised to reduce IT and data management costs significantly, including an up to 68% reduction in data stack spend and the ability to build data pipelines 7.5x ABOUT ASCEND.IO

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Striim

NOVEMBER 8, 2023

” Self-serve data infrastructure as a platform The principle of creating a self-serve data infrastructure is to provide tools and user-friendly interfaces so that generalist developers (and non-technical people) can quickly get access to data or develop analytical data products speedily and seamlessly.

Architecture 52

Architecture Generalist Government Datasets 52

Monte Carlo

AUGUST 31, 2023

As the data analyst or engineer responsible for managing this data and making it usable, accessible, and trustworthy, rarely a day goes by without having to field some request from your stakeholders. But what happens when the data is wrong? In our opinion, data quality frequently gets a bad rep.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52