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

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 Engineer Software Engineering 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

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

The Modern Data Company

APRIL 20, 2023

What is a data operating system? On the surface, it’s an operating system designed specifically for managing and processing large amounts of data. Many products and services have claimed to offer a data operating system in recent years.

Systems 95

Systems Entertainment Government Big Data 95

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

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

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

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 173

Data Lake High Quality Data Data Pipeline Machine Learning 173

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 Government 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

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

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 Metadata 100

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

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

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 Manufacturing Machine Learning Algorithm 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

APRIL 7, 2024

Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while maintaining a single point of access, the semantic layer has evolved as a technological solution to the problem. dbt, BI, warehouse marts, etc.)

Data Lake 162

Data Lake High Quality Data BI Data Workflow 162

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

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

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

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

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

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

MARCH 3, 2024

Summary Artificial intelligence technologies promise to revolutionize business and produce new sources of value. Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization. When is AI the wrong choice?

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

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

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

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

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. What do you have planned for the future of your academic research?

Data Process 147

Data Process Process Data Lake High Quality Data 147

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

Kafka 245

Kafka Data Lake High Quality Data SQL 245