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. No more shipping and praying, you can now know exactly what will change in your database!

Machine Learning 130

Machine Learning Systems Data Lake Data Warehouse 130

dbt Developer Hub

NOVEMBER 3, 2022

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. In this blog post we’ll dive into how we tackled one source of quality issues: directly relying on upstream database schemas. Each of these microservices has its own database.

Kafka 52

Kafka ETL Tools BI Database 52

Knowledge Hut

APRIL 25, 2024

Intrusion detection systems (IDS) are designed to identify suspicious and malicious activity through network traffic. So, let's get to know the meaning of an intrusion detection system and how it works. What Is a n Intrusion Detection System? Why Are Intrusion Detection Systems Important? and how it works.

Systems 52

Systems Recruitment Machine Learning Certification 52

Data Engineering Podcast

JUNE 22, 2021

Summary The database is the core of any system because it holds the data that drives your entire experience. Andy Pavlo researches autonomous database systems, and out of that research he created OtterTune to find the optimal set of parameters to use for your specific workload.

Database 100

Database MySQL PostgreSQL Data Warehouse 100

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. By exploring the benefits of using Data Mesh for your event streaming architecture, this article will help you decide if it’s the right solution for your organization.

Architecture 52

Architecture Generalist Government Datasets 52

The Pragmatic Engineer

APRIL 11, 2024

From Sella’s status page : “Following the installation of an update to the operating system and related firmware which led to an unstable situation. The changes messed up all major databases in some unexpected way. Still, I’m puzzled by how long the system has been down.

Banking 210

Banking Utilities Database Engineering 210

Workfall

JUNE 27, 2023

In this blog, we’ll explore how to harness the power of Kafka to streamline event streaming within a microservices architecture and unlock its full potential for building scalable and responsive systems. So if a user requests a piece of information, the request goes to the Database server. Let’s get started!

Kafka 75

Kafka Architecture AWS Transportation 75

Data Engineering Podcast

MAY 8, 2022

Summary Many of the events, ideas, and objects that we try to represent through data have a high degree of connectivity in the real world. TigerGraph is a leading database that offers a highly scalable and performant native graph engine for powering graph analytics and machine learning. Start trusting your data with Monte Carlo today!

Database 100

Database Data Lake BI Business Intelligence 100

Rockset

MARCH 27, 2023

In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks. Differing Paradigms Stream processing systems and real-time analytics (RTA) databases are both exploding in popularity. Let’s start with a quick summary of both stream processing and RTA databases.

Database 52

Database Process Scala SQL 52

Data Engineering Podcast

AUGUST 6, 2022

For analytical systems there are decades of investment in data warehouses and various modeling techniques. For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases. Who is the target audience for this database?

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Knowledge Hut

JUNE 20, 2023

A logical consequence of these changes is the way fields like database security research topics and DBMS research have come up as the need of the hour. With new technologies and techniques emerging day-by-day, staying up-to-date with the latest trends in database research topics is crucial.

Database 52

Database Java Education Data Collection 52

Data Engineering Podcast

MAY 25, 2021

The problem is that in order for the models to integrate with external systems their internal state has to be translated into a lower dimension. To eliminate this impedance mismatch Edo Liberty founded Pinecone to build database that works natively with vectors. Can you start by describing what Pinecone is and the story behind it?

Database 100

Database Building Data Warehouse Machine Learning 100

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. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data platforms.

Systems 100

Systems Kafka SQL Government 100

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. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Rockset

DECEMBER 19, 2023

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52

Systems Machine Learning Deep Learning Media 52

Data Engineering Podcast

NOVEMBER 26, 2019

Summary The team at Sentry has built a platform for anyone in the world to send software errors and events. In this episode James Cunningham and Ted Kaemming describe the process of rearchitecting a production system, what they learned in the process, and some useful tips for anyone else evaluating Clickhouse.

Data Warehouse 100

Data Warehouse Building PostgreSQL Kafka 100

Data Engineering Podcast

MARCH 5, 2022

Summary When you think about selecting a database engine for your project you typically consider options focused on serving multiple concurrent users. Sometimes what you really need is an embedded database that is blazing fast for single user workloads. Can you describe what DuckDB is and the story behind it?

Database 100

Database Data Lake Java Data Engineering 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. This brings with it a vast number of subtle ways that errors can creep in.

Systems 100

Systems Building Scala Java 100

Cloudera

SEPTEMBER 23, 2020

Access audits are mastered centrally in Apache Ranger which provides comprehensive non-repudiable audit log for every access event to every resource with rich access event metadata such as: IP. Cloudera’s platform can support piping of audit data to HDFS, Kafka, Syslog or to SIEM systems for long-term retention and archival.

Database 81

Database Data Lake Metadata Java 81

Data Engineering Podcast

JANUARY 5, 2020

Summary Databases are useful for inspecting the current state of your application, but inspecting the history of that data can get messy without a way to track changes as they happen. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh.

Database 100

Database Kafka PostgreSQL MySQL 100

Knowledge Hut

JULY 24, 2023

Recently, the advent of stream processing has unlocked the door for a new era in database technology. In today’s data-driven world, the future of SQL is entwined with the future of databases and becoming highly significant. According to recent studies, the global database market will grow from USD 63.4

Database 52

Database SQL Process NoSQL 52

Data Engineering Podcast

APRIL 28, 2019

However, managing the database layer is still a separate concern. The KubeDB project was created as a way of providing a simple mechanism for running your storage system in the same platform as your application. What are the main challenges associated with running a stateful system on top of Kubernetes?

Database 100

Database PostgreSQL MongoDB MySQL 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

FEBRUARY 1, 2021

As the systems that we build continue to grow in scale and complexity the need for reliable and manageable monitoring platforms increases proportionately. In this episode Rob Skillington, CTO of Chronosphere, shares his experiences building metrics systems that provide observability to companies that are operating at extreme scale.

Systems 100

Systems Cloud BI Data Warehouse 100

LinkedIn Engineering

DECEMBER 6, 2022

With a reasonably sizable footprint of servers in data centers, LinkedIn is responsible for ensuring that these hosts are always on an operating system (OS) version deemed the ���latest and greatest��� for all intents and purposes. What is an OS snapshot?

Systems 55

Systems Metadata Datasets Designing 55

Netflix Tech

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Systems 85

Systems Metadata Media Kafka 85

Confluent

MARCH 19, 2019

When should you use an event? I will attempt to articulate in layman’s terms what an event-driven architecture (EDA) is and contrast it with service-oriented architecture (SOA). In essence, this is an attempt to differentiate and/or associate APIs with events. They, in some cases, are more resilient than databases.

Architecture 110

Architecture Telecommunication Transportation Database 110

Knowledge Hut

DECEMBER 5, 2023

If you have a passion for information technology (IT) and dream of turning it into a fulfilling career, ponder the path of a systems engineer. Join us on a detailed exploration of who can pursue a career as a systems engineer and the steps to become one in the year 2024. Who is a System Engineer, and What Do They Do?

Systems 52

Systems Engineering Recruitment Electronics 52

Rockset

OCTOBER 4, 2022

Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The broad adoption of Apache Kafka has helped make these event streams more accessible. In this post, we compare two options for real-time analytics on event and CDC streams: Rockset and ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Data Engineering Podcast

APRIL 22, 2019

FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events.

Database 100

Database Cloud NoSQL Scala 100

Knowledge Hut

MAY 31, 2023

This is where database management systems come in handy. A database management system (DBMS) is a software system that helps organize, store and manage information efficiently. If you want to learn more about databases, check out Knowledgehut Database course. So, Let's get started!

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

MAY 3, 2024

Kafka offers better fault tolerance because of its event-driven processing. Its interoperability with other kinds of systems, however, might appear to be extremely difficult. Processing Type Kafka analyses events as they often take place. A continuous processing model is an outcome.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Rockset

FEBRUARY 24, 2022

Event-based architectures have been gaining popularity for some time. With increased adoption has come a flood of options for aggregating and analyzing events. Which databases are optimized for ingesting streaming events and analyzing them in real time? Such use cases require fundamental architectural changes.

AWS 52

AWS Amazon Web Services Kafka SQL 52

Rockset

MARCH 17, 2022

To do that, you'll need something more: a mutable database. In this post we'll discuss the three main reasons why a mutable database is required for real-time updates. 1) Late Arriving Data in Time-Based Window Rollups ⌛️ Let's say you have a rollup that's counting events for each hour. A mutable database allows you to do this.

Database 52

Database IT PostgreSQL MongoDB 52

Data Engineering Podcast

MAY 6, 2019

Summary The database market continues to expand, offering systems that are suited to virtually every use case. FoundationDB is a distributed key-value store that provides the primitives that you need to build a custom database platform. But what happens if you need something customized to your application?

Systems 100

Systems MongoDB NoSQL Database 100

The Pragmatic Engineer

NOVEMBER 21, 2023

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  We dabbled in network engineering, database management, and system administration. and hand-rolled C -code.

Engineering 283

Engineering Bytes Cloud Computing AWS 283

U-Next

SEPTEMBER 9, 2022

Introduction – What is a Database Administrator (DBA)? . A database administrator (DBA) is a professional responsible for managing and administrating databases. A DBA typically works with database management systems (DBMS) to ensure that data is properly stored, organized, and secured.

Database 40

Database Data Cleanse Non-relational Database Database Design 40