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

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? This removes the need for human effort to enter the data, thus reducing human biases and errors. This is where Data Science plays a role. Cosmos DB in this case.

Data Science 52

Data Science Technology Machine Learning Big Data 52

Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. Atlan is the metadata hub for your data ecosystem. Can you share your definition of "behavioral data" and how it is differentiated from other sources/types of data?

Building 130

Building IT Metadata MongoDB 130

Data Engineering Podcast

AUGUST 10, 2021

Stemma helps you establish and maintain that trust by giving visibility into who is using what data, annotating the reports with useful context, and understanding who is responsible for keeping it up to date. RudderStack’s smart customer data pipeline is warehouse-first. Then what do you do? Send a CSV via email?

IT 130

IT Building Data Warehouse Python 130

Data Engineering Podcast

JULY 17, 2022

Summary There are extensive and valuable data sets that are available outside the bounds of your organization. Whether that data is public, paid, or scraped it requires investment and upkeep to acquire and integrate it with your systems. Atlan is the metadata hub for your data ecosystem.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

FEBRUARY 19, 2023

Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. Can you describe what Iceberg is and its position in the data lake/lakehouse ecosystem?

IT 147

IT Data Lake Metadata Data Warehouse 147

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

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

Cloudera

SEPTEMBER 14, 2020

Managing users within this changing data landscape leads to three pressure points: Long wait times, missed service agreements, and cloud mandates. Fundamental principles to be successful with Cloud data management. Meanwhile, some workloads hog resources making others miss defined agreements.

Data Management 111

Data Management Cloud Management Business Analyst 111

Cloudera

JUNE 7, 2022

Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Clearly, hybrid data presents a massive opportunity and a tough challenge. Capitalizing on the potential requires the ability to harness the value of all of that data, no matter where it is.

IT 112

IT Unstructured Data Data Architecture Government 112

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. Nevertheless, MDM is not a silver bullet for data quality. Search: What data is available and from where?

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

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

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. The truth is, as companies want to unlock the power of data this starts with strong MDM. Consider our product range.

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. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering?

Data Management 100

Data Management Management Machine Learning Portfolio 100

Data Engineering Podcast

SEPTEMBER 4, 2022

In this episode founders Barr Moses and Lior Gavish rejoin the show to reflect on the evolution and adoption of data observability technologies and the capabilities that are being introduced as the broader ecosystem adopts the practices. Atlan is the metadata hub for your data ecosystem. What is your take?

IT 100

IT Metadata MongoDB MySQL 100

Pinterest Engineering

OCTOBER 2, 2024

As a data serving platform, SDS is responsible for various aspects of the data lifecycle management, including: Online Query Serving , which offers multiple data models such as graph, table, document, etc. that were designed specifically for this data model and service. UMS, our wide-column data store.

Data Management 56

Data Management Management Metadata SQL 56

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

Knowledge Hut

JANUARY 18, 2024

A technical support service offers support to consumers of technology goods or services. A technical support service offers support to consumers of technology goods or services. The purpose of Level 0 support, the entry-level in IT support, is to tackle these issues before users even approach the service desk.

IT 52

IT Utilities Manufacturing Technology 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

Data Engineering Podcast

NOVEMBER 16, 2020

This often takes the form of business intelligence dashboards, machine learning models, or APIs on top of a cleaned and curated data set. At Isima they decided to reimagine the entire ecosystem from the ground up and built a single unified platform to allow end-to-end self service workflows from data ingestion through to analysis.

Data Management 100

Data Management Management BI Business Intelligence 100

Data Engineering Podcast

APRIL 16, 2022

Summary Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full lifecycle of data cleaning, training, deployment and monitoring. What is the role of the data engineer in that process? Can you describe what MLOps is? How does it relate to DataOps?

Data Engineering 100

Data Engineering Data Engineer Engineering IT 100

Data Engineering Podcast

FEBRUARY 6, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

SQL 100

SQL Building IT Google Cloud 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

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

FEBRUARY 20, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Python 100

Python Data Process IT Building 100

Knowledge Hut

SEPTEMBER 21, 2023

Azure Expert certifications are emerging as a defining criterion for individuals looking to flourish in cloud computing in the fast-changing technological world. It ensures you're up to date in the ever-evolving world of technology. The domain is in high demand today and is the best for pursuing a career.

Certification 52

Certification IT Cloud Computing Cloud 52

Data Engineering Podcast

OCTOBER 2, 2022

In this episode co-founder Martin Sahlen explains the impact that easy access to lineage information can have on the work of data engineers and analysts, and how he and his team have designed their platform to offer that information to engineers and stakeholders in the places that they interact with data.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

MARCH 8, 2021

explains how using Pilosa as the core he built the Molecula platform to eliminate the need to copy data between systems in able to make it accessible for analytical and machine learning purposes. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

IT 100

IT Data Warehouse MongoDB Kafka 100

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