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

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Knowledge Hut

DECEMBER 28, 2023

The information system is a very vast concept that encompasses several aspects like database management, the communication system, various devices, several connections, the internet, collection, organization, and storing data and other information-related applications that are typically used in a business forum.

Systems 52

Systems Telecommunication Technology Certification 52

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. Interview Introduction (see Guy’s bio below) How did you get involved in the area of data management?

Systems 100

Systems Software Engineering Software Engineer Data Warehouse 100

Data Engineering Podcast

NOVEMBER 20, 2022

In this episode Ian Schweer shares his experiences at Riot Games supporting player-focused features such as machine learning models and recommeder systems that are deployed as part of the game binary. The biggest challenge with modern data systems is understanding what data you have, where it is located, and who is using it.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

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? I wrote an article named ‘An Introduction to Azure IoT with Machine Learning,’ in that blog, I took an example of a system that monitors temperature and humidity. The example gave a glimpse.

Data Science 52

Data Science Technology Machine Learning Big Data 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

Data Engineering Podcast

DECEMBER 25, 2022

Recognizing this shortcoming and the capabilities that could be unlocked by a robust solution Rishabh Poddar helped to create Opaque Systems as an outgrowth of his PhD studies. Can you describe what you are building at Opaque Systems and the story behind it? When is Opaque the wrong choice?

Machine Learning 130

Machine Learning Systems Data Lake Data Warehouse 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. What are the categories of information that organizations use external data sources for?

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

JULY 6, 2020

Summary There are an increasing number of use cases for real time data, and the systems to power them are becoming more mature. Once you have a streaming platform up and running you need a way to keep an eye on it, including observability, discovery, and governance of your data. That’s what the Lenses.io

Systems 100

Systems Kafka SQL Data Engineer 100

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.

Data Management 52

Data Management Management Food Data 52

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. Many businesses have multiple systems that house customer data, for example.

Data Governance 52

Data Governance Government Data Management Management 52

Data Engineering Podcast

JANUARY 21, 2019

They discuss the challenges of being at global scale from the start, hiring and training talented engineers, prototyping and deploying new systems in the cloud, and what they have learned in the process. This is a useful conversation for engineers, managers, and leadership who are interested in building enterprise big data systems.

Big Data 100

Big Data Systems Building Hadoop 100

Data Engineering Podcast

FEBRUARY 1, 2021

It is eminently possible to generate millions or billions of data points per second, the information needs to be propagated to a central location, processed, and analyzed in timeframes on the order of milliseconds or single-digit seconds, and the consumers of the data need to be able to query the information quickly and flexibly.

Systems 100

Systems Cloud BI Data Warehouse 100

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. The same holds true for data quality initiatives.

Technology 59

Technology Data Validation Raw Data Portfolio 59

Data Engineering Podcast

APRIL 24, 2022

WhyLogs is a powerful library for flexibly instrumenting all of your data systems to understand the entire lifecycle of your data from source to productionized model. You have full control over your data and their plugin system lets you integrate with all of your other data tools, including data warehouses and SaaS platforms.

Machine Learning 100

Machine Learning Systems Data Lake Java 100

Knowledge Hut

JULY 26, 2023

But what precisely is operating system virtualization? This blog will provide you all the information about the Operating System virtualization along with AWS Solution Architect syllabus. What is Operating System Virtualization? You would possibly think of virtualization in operating system as a form of mimicry or illusion.

Systems 52

Systems Cloud Computing Utilities Cloud 52

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. Sparrow, our transactional management system that exposes a similar interface to HBase.

Data Management 56

Data Management Management Metadata SQL 56

Data Engineering Podcast

JULY 20, 2020

Summary Wind energy is an important component of an ecologically friendly power system, but there are a number of variables that can affect the overall efficiency of the turbines. Michael Tegtmeier founded Turbit Systems to help operators of wind farms identify and correct problems that contribute to suboptimal power outputs.

Systems 100

Systems Machine Learning Manufacturing Algorithm 100

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

Data Engineering Podcast

DECEMBER 19, 2021

In this episode Pardhu Gunnam and Mars Lan explain how they have designed the architecture and user experience to allow everyone to collaborate on the data lifecycle and provide opportunities for automation and extensible workflows. Supercharge your business teams with customer data using Hightouch for Reverse ETL today.

Systems 100

Systems Building Metadata Data Warehouse 100

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains of dependencies. As they scale, the problems of visibility and dependency management can increase at an exponential rate. Interview Introduction How did you get involved in the area of data management?

Systems 100

Systems Metadata Building MongoDB 100

Data Engineering Podcast

JULY 27, 2020

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break. Can you start by describing what the Jepsen project is?

Systems 100

Systems Building Scala Java 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

Data Engineering Podcast

MAY 18, 2024

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data.

Building 278

Building Data Lake High Quality Data Business Intelligence 278

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

JUNE 2, 2024

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. What are some of the misconceptions that you encounter about data governance?

Data Governance 147

Data Governance Government Data Lake High Quality Data 147

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.

Data Management 100

Data Management Management BI Business Intelligence 100

Data Engineering Podcast

FEBRUARY 18, 2019

Summary Distributed storage systems are the foundational layer of any big data stack. Alluxio is a distributed virtual filesystem which integrates with multiple persistent storage systems to provide a scalable, in-memory storage layer for scaling computational workloads independent of the size of your data.

Systems 100

Systems Java Media Algorithm 100

Data Engineering Podcast

MAY 6, 2019

Summary The database market continues to expand, offering systems that are suited to virtually every use case. In this episode Ryan Worl explains how it is architected, how to use it for your applications, and provides examples of system design patterns that can be built on top of it. Can you describe how FoundationDB is architected?

Systems 100

Systems MongoDB NoSQL Database 100

Data Engineering Podcast

JULY 5, 2021

Deploying, managing, and scaling that orchestration can consume a large fraction of a data team’s energy so it is important to pick something that provides the power and flexibility that you need. This is a fascinating platform with an endless set of use cases and a great team of people behind it.

Systems 100

Systems Management Data Warehouse Programming Language 100

Data Engineering Podcast

JUNE 9, 2024

To address this shortcoming Datorios created an observability platform for Flink that brings visibility to the internals of this popular stream processing system. Data observability has been gaining adoption for a number of years now, with a large focus on data warehouses. Can you describe how Datorios is implemented?

Process 147

Process Data Lake High Quality Data Machine Learning 147

LinkedIn Engineering

JULY 19, 2023

The individual building blocks of compute engines, distributed storage, and metadata catalogs operate independently as part of an overall data plane. Unfortunately, there is currently no system in open source that unifies them through a single control plane. The framework itself is extensible to run custom jobs.

Big Data 78

Big Data Data Management Management Metadata 78