Towards Data Science

OCTOBER 12, 2023

In recent decades, data architectures have grown increasingly diverse and complex. As a result of this complexity, data engineers more and more have to integrate a variety of data sources they are not necessarily familiar with. This is a fair point.

Data Integration 97

Data Integration Systems Engineering Datasets 97

Data Engineering Podcast

SEPTEMBER 7, 2020

For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. For analytical use cases you often want to combine data across multiple sources and storage locations.

Architecture 100

Architecture Data Architecture SQL Engineering 100

Precisely

JUNE 6, 2023

At Precisely’s Trust ’23 conference, Chief Operating Officer Eric Yau hosted an expert panel discussion on modern data architectures. The group kicked off the session by exchanging ideas about what it means to have a modern data architecture.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Snowflake

APRIL 10, 2025

By warehousing your data in a privacy-compliant safe location, and by building a really good taxonomy of what that data means, you can build better functionality and onboarding data with any party on the audience side, said Jenny Yurko, VP, Data Product Strategy, at Warner Bros. Discovery. Missed the events?

Media 86

Media Retail Entertainment Consulting 86

Precisely

DECEMBER 9, 2024

Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).

Data Governance 64

Data Governance Government Data Integration Architecture 64

Precisely

JULY 10, 2023

Did you join us for Trust ’23: the Precisely Data Integrity Summit? We hope you came away with practical and valuable insights for your data integrity journey. Trust ’23 was chock-full of content for everyone – whatever your industry or data integrity area of focus may be. Want to learn more?

Data Integration 52

Data Integration Government Data Architecture Data 52

Precisely

MARCH 14, 2023

We optimize these products for use cases and architectures that will remain business-critical for years to come. Deploy, execute, and scale natively in modern cloud architectures To meet the need for data quality in the cloud head on, we’ve developed the Precisely Data Integrity Suite. Bigger, better results.

Data Integration 52

Data Integration High Quality Data BI Data 52

Monte Carlo

FEBRUARY 21, 2023

Today, as data sources become increasingly varied, data management becomes more complex, and agility and scalability become essential traits for data leaders, data fabric is quickly becoming the future of data architecture. If data fabric is the future, how can you get your organization up-to-speed?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Today, as data sources become increasingly varied, data management becomes more complex, and agility and scalability become essential traits for data leaders, data fabric is quickly becoming the future of data architecture. If data fabric is the future, how can you get your organization up-to-speed?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Teradata

MAY 30, 2025

Teradata Block File System (BFS) enhances data domain isolation by providing a high-performance, scalable storage solution that supports efficient data management and retrieval. This system ensures that data is stored in a structured manner, facilitating quick access and processing while maintaining data integrity and security.

AWS 52

AWS Architecture Building Amazon Web Services 52

ProjectPro

JUNE 6, 2025

FAQs on ETL Data Engineer ETL Data Engineer Jobs Market A simple LinkedIn search for "ETL Data Engineer Jobs Market" shows 959 results, highlighting the growing demand for professionals skilled in data integration. It provides data integration , data quality, and data governance capabilities.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

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 Data Architecture Database 125

Precisely

MAY 3, 2023

Learn more The countdown is on to Trust ’23: the Precisely Data Integrity Summit! We recently announced the details of our annual virtual event , and we’re thrilled to once again bring together thousands of data professionals worldwide for two days of knowledge, insights, and inspiration for your data integrity journey.

Data Integration 52

Data Integration Government Data Governance AWS 52

ProjectPro

JUNE 6, 2025

As technology advances, their role will become increasingly crucial, and excellent data architects will embrace this transition by staying up-to-date with the new tools and technologies. What Does a Data Architect Do? Now, what is a data architect responsible for? These certifications are acquired mainly by taking an exam.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

Striim

FEBRUARY 12, 2024

By doing this, organizations can take complete advantage of their data landscape, resulting in substantial benefits for their business in various important aspects. This approach can turn data challenges into advantages, helping companies grow, work more efficiently, and stand out in their industry.

Data Architecture 52

Data Architecture Architecture Data Data Lake 52

Striim

MARCH 21, 2025

With instant elasticity, high-performance, and secure data sharing across multiple clouds , Snowflake has become highly in-demand for its cloud-based data warehouse offering. As organizations adopt Snowflake for business-critical workloads, they also need to look for a modern data integration approach.

MongoDB 52

MongoDB Data Warehouse MySQL Hadoop 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 98

Data Engineering Data Engineer Engineering Data Lake 98

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

Striim

APRIL 18, 2025

Eliminating Data Silos with Unified Integration Rather than storing data in isolated systems, organizations are adopting real-time data integration strategies to unify structured and unstructured data across databases, applications, and cloud environments.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

ProjectPro

JUNE 6, 2025

Zero ETL Components Zero ETL Benefits Zero ETL Use Cases AWS Zero ETL Integrations Learn Building Scalable Zero ETL Data Pipelines with ProjectPro! Zero-ETL refers to a modern approach that simplifies data integration by reducing or eliminating the need for traditional ETL (Extract, Transform, Load) pipelines.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

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

To succeed in this field, one should have a solid understanding of AWS and data engineering principles. What Does an AWS Data Engineer Do? An AWS data engineer, for example, is in charge of preserving data integrity and building data models to collect information from various sources.

AWS 45

AWS Data Engineer Data Engineering Amazon Web Services 45

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

ProjectPro

JUNE 6, 2025

It's designed to handle and analyze large volumes of data efficiently, making it a favorite choice for businesses of all sizes. Snowflake Features Multi-cluster, Shared Data Architecture: Snowflake's architecture is built around the concept of decoupling storage and compute. Strong support for JSON data and querying.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Knowing SQL helps data engineers optimize data infrastructures for better performance and efficiency and also develop more effective data models and data warehousing solutions. Data integration will become highly significant as the amount of data globally grows in volume, variety, and complexity.

Data Engineering 45

Data Engineering Data Engineer SQL Engineering 45

Edureka

APRIL 22, 2025

Its multi-cluster shared data architecture is one of its primary features. Data integration, data engineering, data warehousing, real-time analytics, data science, and business intelligence are among the analytics tasks it unifies into a single, cohesive interface.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Teradata

APRIL 23, 2025

Unleash the full potential of AI with enterprise-scale vector management, unlocking billions of vectors and delivering cost-effective, scalable AI and CX innovation with seamless data integration. Tags Customer experience AI & ML Articles About Vedat Akgun Vedat Akgun, Ph.D.,

Telecommunication 52

Telecommunication Transportation Media Retail 52

phData: Data Engineering

NOVEMBER 8, 2024

Additionally, the optimized query execution and data pruning features reduce the compute cost associated with querying large datasets. Scaling data infrastructure while maintaining efficiency is one of the primary challenges of modern data architecture.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

Mastering data modeling in Snowflake will allow you to create a structured and efficient data architecture that suits your specific business requirements, enabling better data management and analysis within your Snowflake environment. These form the building blocks of your data architecture.

Data Warehouse 40

Data Warehouse SQL AWS Big Data 40

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

Data Engineering Podcast

AUGUST 12, 2019

Upcoming events include the O’Reilly AI Conference, the Strata Data Conference, and the combined events of the Data Architecture Summit and Graphorum. Workflow for users getting started with Fivetran When is Fivetran the wrong choice for collecting and analyzing your data?

Data Warehouse 100

Data Warehouse Media Data Data Architecture 100

Data Engineering Podcast

JULY 22, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Upcoming events include the O’Reilly AI Conference, the Strata Data Conference, and the combined events of the Data Architecture Summit and Graphorum. What has been your experience in that regard?

Data Lake 100

Data Lake Hadoop Data Kafka 100

Cloudera

DECEMBER 1, 2023

Governments must ensure that the data used for training AI models is of high quality, accurately representing the diverse range of scenarios and demographics it seeks to address. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Building 109

Building Government Transportation Data Governance 109

Snowflake

JULY 22, 2024

Determining an architecture and a scalable data model to integrate more source systems in the future. The benefits of migrating to Snowflake start with its multi-cluster shared data architecture, which enables scalability and high performance.

Government 119

Government Cloud Data Data Lake 119

ProjectPro

JUNE 6, 2025

Key Responsibilities of a Data Engineer Here are the skills to hone for fulfilling the day-to-day responsibilities of a data engineer: Obtain data from third-party providers with the help of robust API integrations. Build, Design, and maintain data architectures using a systematic approach that satisfies business needs.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 75

Unstructured Data Data Lake Data Architecture Data 75

ProjectPro

JUNE 6, 2025

The result was Apache Iceberg, a modern table format built to handle the scale, performance, and flexibility demands of today’s cloud-native data architectures. Apache Iceberg Architecture 1. Data Layer What are the main use cases for Apache Iceberg? Let us explore more about it. Iceberg Catalog 2. Metadata Layer 3.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40