Cloudera

FEBRUARY 4, 2021

I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Supporting the industry’s risk data depository and data management needs. End-to-end Data Lifecycle.

Technology 87

Technology Data Management Management Insurance 87

Precisely

OCTOBER 23, 2023

When most people think of master data management, they first think of customers and products. But master data encompasses so much more than data about customers and products. Challenges of Master Data Management A decade ago, master data management (MDM) was a much simpler proposition than it is today.

Data Management 110

Data Management Management Data Data Integration 110

Knowledge Hut

APRIL 25, 2024

Information Technology is a field that manages and processes information for large-scale organizations or companies. Information technology is now synonymous with any form of digital communications and technologies. Even analyzing consumer data or live streaming social media plays a vital role in Information Technology.

Technology 52

Technology Recruitment Media Cloud Computing 52

U-Next

AUGUST 16, 2022

MBA in IT makes the most sense in today’s world as firms need a workforce that can understand IT and business management. Here, you will learn MBA in information technology fundamentals and everything else. Introduction to an MBA in Information Technology. What is an MBA in Information Technology?

Technology 52

Technology Finance Education Business Analyst 52

Knowledge Hut

NOVEMBER 19, 2023

With advances in technology, wearable devices do provide some trace of your health. How do they collect, process, and analyze data for you? Importance of Data Science in IoT IoT and Data Science are amongst the most defining technologies of our age. Data Science for IoT has its own share.

Data Science 52

Data Science Technology Machine Learning Big Data 52

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 94

Kafka Technology IT Government 94

Data Engineering Podcast

JULY 17, 2022

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data. When is Crux the wrong choice?

Data Management 130

Data Management Management Metadata MongoDB 130

Cloudera

SEPTEMBER 14, 2020

When adopting cloud data management, there are some fundamental principles we need to embrace to be successful, or we risk security gaps, failure to maintain regulatory compliance or unexpected cost overruns. Fundamental principles to be successful with Cloud data management.

Data Management 111

Data Management Cloud Management Business Analyst 111

Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics.

Data Management 100

Data Management Management MongoDB Scala 100

Precisely

SEPTEMBER 5, 2023

With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. With data governance and the right technology tools, it is possible to achieve consistent, accurate results at scale.

Data Governance 52

Data Governance Government Data Management Management 52

Precisely

JANUARY 11, 2024

These challenges are increasingly being addressed by the adoption of business value engineering, a data- and insights-driven framework that aligns technology selection with purpose – strengthening your ability to demonstrate the value that those investments produce. If the return isn’t clear, the investments often falter.

Technology 59

Technology Data Validation Raw Data Portfolio 59

Picnic Engineering

OCTOBER 17, 2023

Building the data foundation for world’s best online supermarket The Importance of MDM In the fast-paced world of technology, it’s easy to be captivated by the allure of artificial intelligence. To create the best online grocery experience and ensure flawless operations, mastering data management became a vital practice.

Data Management 52

Data Management Management Food Data 52

Data Engineering Podcast

JUNE 8, 2020

Summary The landscape of data management and processing is rapidly changing and evolving. This is a useful conversation to gain a macro perspective on where businesses are looking to improve their capabilities to work with data. If you hand a book to a new data engineer, what wisdom would you add to it?

Data Management 100

Data Management Management Machine Learning Portfolio 100

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This means you can expect simpler data management and drastically improved productivity for your business users.

Certification 83

Certification Data Management Management Cloud 83

Striim

DECEMBER 12, 2023

Exciting news is on the horizon as Striim proudly announces its Technology Partnership with YugabyteDB, a collaboration set to reshape the landscape of data management. “At Striim, we believe in the transformative potential of data.

Data Management 59

Data Management Database-centric Management PostgreSQL 59

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Pinterest Engineering

OCTOBER 2, 2024

The following picture depicts the situation: Figure 1: Example of four different services with no overlapping on common modules using two datastore technologies There are several problems with this approach: Maintenance-wise, each service is assembled differently, so there is a large cognitive overhead to become an expert in all of them.

Data Management 56

Data Management Management Metadata SQL 56

Data Engineering Podcast

NOVEMBER 16, 2020

In this episode CEO and co-founder of Isima Darshan Rawal explains how the biOS platform is architected to enable ease of use, the challenges that were involved in building an entirely new system from scratch, and how it can integrate with the rest of your data platform to allow for incremental adoption. What is the story behind the name?

Data Management 100

Data Management Management BI Business Intelligence 100

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

Data Engineering Podcast

MAY 18, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. Code Comments Podcast Logo]([link] Putting new technology to use is an exciting prospect. Closing Announcements Thank you for listening!

Building 278

Building Data Lake High Quality Data Business Intelligence 278

Zalando Engineering

JUNE 23, 2021

Introduction In our previous post about Technology Choices at Zalando we spoke about a few problems with scaling technology selection in Tech companies. Now, we'd like to reflect on our lessons learned, which you can use when designing technology selection processes. Such individuals are also essential for continued innovation.

Technology 52

Technology Data Lake PostgreSQL AWS 52

Data Engineering Podcast

SEPTEMBER 3, 2018

Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Can you start by establishing a definition of data mastering that we can work from?

Data Management 100

Data Management Management Relational Database Business Intelligence 100

Teradata

SEPTEMBER 28, 2021

Our latest global industry survey, in partnership with Vanson Bourne, reveals that enterprises are contemplating long-term, data-focused IT investments to address changing market conditions.

Technology 52

Technology IT Data Management Cloud 52

LinkedIn Engineering

JULY 19, 2023

We’ll also introduce OpenHouse’s control plane, specifics of the deployed system at LinkedIn including our managed Iceberg lakehouse, and the impact and roadmap for future development of OpenHouse, including a path to open source. Over the coming quarters, we will ramp production to serve the entirety of LinkedIn's data lakehouse tables.

Big Data 78

Big Data Data Management Management Metadata 78

Data Engineering Podcast

JUNE 2, 2024

Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business. In this episode she shares the practical steps to implementing a data governance practice in your organization, and the pitfalls to avoid.

Data Governance 147

Data Governance Government Data Lake High Quality Data 147

Zalando Engineering

JULY 28, 2021

The Master Data Management Challenge Master data management (MDM) is a technology-enabled discipline in which business and Information Technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.

Technology 52

Technology Data Systems Data Governance 52

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 Machine Learning 147

Data Engineering Podcast

JUNE 23, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. Closing Announcements Thank you for listening!

Data Lake 162

Data Lake High Quality Data Hadoop Machine Learning 162

Data Engineering Podcast

JUNE 9, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. Data observability has been gaining adoption for a number of years now, with a large focus on data warehouses.

Process 147

Process Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

APRIL 21, 2024

Summary Generative AI has rapidly transformed everything in the technology sector. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines.

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Data Engineering Podcast

FEBRUARY 18, 2024

In this episode Dain Sundstrom, CTO of Starburst, explains how the combination of the Trino query engine and the Iceberg table format offer the ease of use and execution speed of data warehouses with the infinite storage and scalability of data lakes. What do you have planned for the future of Trino/Starburst?

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Data Engineering Podcast

JUNE 30, 2024

He highlights the role of data teams in modern organizations and how Synq is empowering them to achieve this. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Can you describe what Synq is and the story behind it?

Pipeline-centric 147

Pipeline-centric Engineering Data Lake High Quality Data 147

Data Engineering Podcast

MARCH 24, 2024

In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. Can you describe what the focus of Dagster+ is and the story behind it? What problems are you trying to solve with Dagster+?

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162