Cloudera

MAY 28, 2024

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

Data Architecture 88

Data Architecture Architecture Data Lake Data Warehouse 88

Cloudera

JUNE 29, 2023

Technology alone would not have prevented the banking crisis, but the fact remains that financial institutions still aren’t leveraging technology as creatively, intelligently, and cost-effectively as they should be. Thus identifying trends that may impact liquidity and take preemptive action to manage their position.

Data Architecture 85

Data Architecture Architecture Management Banking 85

Cloudera

AUGUST 1, 2024

Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. Challenges in Implementing AI Implementing AI does not come without challenges for many organizations, primarily due to outdated or inadequate data infrastructures. EMEA and APAC regions.

Data Architecture 82

Data Architecture Architecture Deep Learning Data Security 82

Cloudera

AUGUST 30, 2022

Agencies are plagued by a wide range of data formats and storage environments—legacy systems, databases, on-premises applications, citizen access portals, innumerable sensors and devices, and more—that all contribute to a siloed ecosystem and the data management challenge. . Modern data architectures.

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

Cloudera

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Kafka 95

Kafka Technology IT Government 95

Data Engineering Podcast

SEPTEMBER 7, 2020

If you need to work with data in your cloud data lake, your on-premise database, or a collection of flat files, then give this episode a listen and then try out Presto today. If you hand a book to a new data engineer, what wisdom would you add to it? If you hand a book to a new data engineer, what wisdom would you add to it?

Architecture 100

Architecture Data Architecture SQL Engineering 100

Snowflake

NOVEMBER 11, 2024

Data and AI architecture matter “Before focusing on AI/ML use cases such as hyper personalization and fraud prevention, it is important that the data and data architecture are organized and structured in a way which meets the requirements and standards of the local regulators around the world.

Banking 98

Banking Finance Retail Food 98

Data Engineering Podcast

JUNE 16, 2024

In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform. Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147

Data Lake High Quality Data Metadata Government 147

ProjectPro

JUNE 6, 2025

According to the Data Management Body of Knowledge, a Data Architect "provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture."

Data Architect 40

Data Architect Data Mining Programming Language Java 40

Cloudera

JULY 29, 2022

Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”. When it comes to FSI, one of the key findings from the report is the importance of risk management and regulatory compliance when it comes to data management.

Data Architecture 89

Data Architecture Architecture Unstructured Data Government 89

Data Engineering Podcast

MAY 29, 2022

In this episode SVP of engineering Shireesh Thota describes the impact on your overall system architecture that Singlestore can have and the benefits of using a cloud-native database engine for your next application. Can you describe what SingleStore is and the story behind it? What do you have planned for the future of SingleStore?

Database 100

Database Architecture Data Architecture PostgreSQL 100

phData: Data Engineering

NOVEMBER 1, 2024

Quotes It's extremely important because many of the Gen AI and LLM applications take an unstructured data approach, meaning many of the tools require you to give the tools full access to your data in an unrestricted way and let it crawl and parse it completely. Data governance is the only way to ensure those requirements are met.

Government 52

Government Data Governance Finance Metadata 52

The Modern Data Company

JULY 29, 2024

” This gap between anticipated outcomes and actual results is at the core of what we’re terming the data stack crisis. The modern data landscape is far from the streamlined, efficient ecosystem many envisioned. Instead, it has evolved into a complex array of tools and technologies, each addressing a specific task.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Data Engineering Podcast

JUNE 17, 2023

In this episode Satish Jayanthi explores the benefits of incorporating column-aware tooling in the data modeling process. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 130

Data Lake Metadata Machine Learning Data Architecture 130

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

ProjectPro

JUNE 6, 2025

Data engineers and architects can provide high-quality data useful for executive decisions. Data Engineer vs Data Architect - Who Does What? They run complex queries on big datasets and build data warehouses for reporting and analysis. Who is a Data Architect? Define the framework for data architecture.

Data Architect 40

Data Architect Data Engineer Data Engineering Building 40

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 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 Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

ProjectPro

JUNE 6, 2025

Big Data refers to the massive volumes of data which is no longer possible to manage using traditional software applications. Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

Cloudera

JUNE 7, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 112

IT Unstructured Data Government Data Architecture 112

Teradata

MAY 30, 2025

This emphasis on simplicity and ease of use in workload management simplifies operations and minimizes complexity. Teradata Block File System (BFS) enhances data domain isolation by providing a high-performance, scalable storage solution that supports efficient data management and retrieval.

AWS 52

AWS Architecture Building Amazon Web Services 52

Striim

FEBRUARY 12, 2024

Data Mesh plays a vital role in managing data effectively and is a valuable asset for organizations looking to improve agility, intelligence, and success in their operations in today’s constantly evolving environment. Explore further the benefits of good data management in this article by McKinsey.

Data Architecture 52

Data Architecture Architecture Data Data Lake 52

Data Engineering Podcast

SEPTEMBER 23, 2018

He also explains which layers are useful for the different members of the business, and which pitfalls to look out for along the path to a mature and flexible data platform. How do you define data curation? How does the size and maturity of a company affect the ways that they architect and interact with their data systems?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Data Engineering Weekly

AUGUST 6, 2024

TL;DR Aswin and I are thrilled to announce the release of the first version of our comprehensive guide for evaluating Change Data Capture. Why CDC is More Relevant in Unified Data Architecture As we advance into the Gen AI era, Change Data Capture (CDC) systems are emerging as crucial components of the ever-evolving data architecture.

Data Lake 125

Data Lake Data Warehouse Data Architecture Database 125

ProjectPro

JUNE 6, 2025

Extensive Network of Partners Data scientists leverage various tools, and the machine learning (ML) sector is continually expanding, with the release of new data science tools every year. By doing so, Snowflake has overcome one of the most significant constraints associated with traditional database technology.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. What do we mean by ‘true’ hybrid? Let’s dive deeper.

Cloud 99

Cloud Data Governance Unstructured Data Government 99

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. When is a lakehouse the wrong choice?

Architecture 100

Architecture Metadata MongoDB MySQL 100

ProjectPro

JUNE 6, 2025

Data engineering courses offer significant advantages for professionals, including data scientists, data analysts, and data engineers. enhancing their skills and career prospects in cloud-based data management.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

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 115

Data Lake Data Warehouse Cloud Unstructured Data 115

ProjectPro

JUNE 6, 2025

Senior ETL Data Engineers, particularly those with expertise in complex data integration and transformation processes, often see salaries ranging from $120,000 to $140,000. Salaries tend to be higher in finance, healthcare, and technology industries, where demand for data-driven decision-making is high.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

Teradata

APRIL 22, 2025

Teradata's QueryGrid technology serves as a bridge between environments, enabling seamless operations during the transition period. His expertise spans from operational platforms to emerging data management paradigms. To learn more about the exclusive migration offer and benefits of migrating from Hadoop to Teradata Vantage.

Hadoop 52

Hadoop Database-centric Media Big Data 52

phData: Data Engineering

FEBRUARY 21, 2025

Progress is frequent and continuous, especially in the realm of technology. The advent of one technology leads to another, which sparks another breakthrough, and another. A data warehouse enables advanced analytics, reporting, and business intelligence. Today, the cloud has revolutionized the potential for data.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

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? Data engineers manage that massive amount of data using various data engineering tools, frameworks, and technologies.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Imagine being able to seamlessly handle and analyze massive datasets in a cloud-native environment, making data engineering tasks smoother. That's exactly what Snowflake Data Warehouse enables you to do! Mastering Snowflake DataWarehouse can significantly enhance your data management and analytics skills.

Data Warehouse 40

Data Warehouse SQL AWS Big Data 40

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Architecture 124

Architecture Metadata Kafka Government 124

Cloudera

DECEMBER 3, 2024

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments.

Metadata 84

Metadata SQL Data Warehouse Database 84