Get the insights you need to maximize your profitability this week. Welcome to OPTIMAL INSIGHTS, brought to you by Optimal Blue. Join our experts as they explore the latest real-time rate data and provide essential commentary spanning from originations to capital markets – insights you need to hear as you start your week. Designed for mortgage professionals, from originators to investors and everyone in between, each episode offers valuable information to help you maximize profitability and ...
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Streaming Audio: Apache Kafka® & Real-Time Data
Confluent, founded by the original creators of Apache Kafka®
Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, ...
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Why Are There So Many Loan Products? | Oct. 14, 2024
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Welcome to this week’s episode of Optimal Insights. In this episode, our experts explore the intersection of economic indicators and mortgage market dynamics with guests Alex Hebner and Kevin Foley. The team discusses market updates, recent inflation metrics, and the topic of specified pools and loan products in this week’s episode. Key Takeaways: …
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Navigating Economic Winds: Employment, Rates, and Refinancing | Oct. 7, 2024
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Welcome to Optimal Insights. In this episode, our experts discuss how the robust job growth, particularly in the hospitality and service sectors, has influenced market expectations and rate movements. They highlight the ongoing challenges in the economy and the potential for refinancing waves as rates trend lower in the coming months. The conversat…
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From Inflation to Interest Rates: Understanding Market Dynamics | Sept. 30, 2024
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Welcome to the first episode of Optimal Insights. In this episode, our experts discuss the recent developments in interest rates and their impact on market trends. The episode highlights a significant drop in mortgage rates, approaching 6%, which has sparked an increase in lock volumes, defying typical seasonal patterns. The team also explores the …
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Optimal Insights - Trailer - Episodes Launching Sept. 30
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Get the insights you need to maximize your profitability this week. Welcome to OPTIMAL INSIGHTS, brought to you by Optimal Blue. Join our experts as they explore the latest real-time rate data and provide essential commentary spanning from originations to capital markets – insights you need to hear as you start your week. Designed for mortgage prof…
…
continue reading
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Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates
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Apache Kafka® 3.5 is here with the capability of previewing migrations between ZooKeeper clusters to KRaft mode. Follow along as Danica Fine highlights key release updates. Kafka Core: KIP-833 provides an updated timeline for KRaft. KIP-866 now is preview and allows migration from an existing ZooKeeper cluster to KRaft mode. KIP-900 introduces a wa…
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A Special Announcement from Streaming Audio
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After recording 64 episodes and featuring 58 amazing guests, the Streaming Audio podcast series has amassed over 130,000 plays on YouTube in the last year. We're extremely proud of these achievements and feel that it's time to take a well-deserved break. Streaming Audio will be taking a vacation! We want to express our gratitude to you, our valued …
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How to use Data Contracts for Long-Term Schema Management
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Have you ever struggled with managing data long term, especially as the schema changes over time? In order to manage and leverage data across an organization, it’s essential to have well-defined guidelines and standards in place around data quality, enforcement, and data transfer. To get started, Abraham Leal (Customer Success Technical Architect, …
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Can you use Apache Kafka® and Python together? What’s the current state of Python support? And what are the best options to get started? In this episode, Dave Klein joins Kris to talk about all things Kafka and Python: the libraries, the tools, and the pros & cons. He also talks about the new course he just launched to support Python programmers en…
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Next-Gen Data Modeling, Integrity, and Governance with YODA
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In this episode, Kris interviews Doron Porat, Director of Infrastructure at Yotpo, and Liran Yogev, Director of Engineering at ZipRecruiter (formerly at Yotpo), about their experiences and strategies in dealing with data modeling at scale. Yotpo has a vast and active data lake, comprising thousands of datasets that are processed by different engine…
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Migrate Your Kafka Cluster with Minimal Downtime
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Migrating Apache Kafka® clusters can be challenging, especially when moving large amounts of data while minimizing downtime. Michael Dunn (Solutions Architect, Confluent) has worked in the data space for many years, designing and managing systems to support high-volume applications. He has helped many organizations strategize, design, and implement…
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Real-Time Data Transformation and Analytics with dbt Labs
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dbt is known as being part of the Modern Data Stack for ELT processes. Being in the MDS, dbt Labs believes in having the best of breed for every part of the stack. Oftentimes folks are using an EL tool like Fivetran to pull data from the database into the warehouse, then using dbt to manage the transformations in the warehouse. Analysts can then bu…
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What’s the next big thing in the future of streaming data? In this episode, Greg DeMichillie (VP of Product and Solutions Marketing, Confluent) talks to Kris about the future of stream processing in environments where the value of data lies in their ability to intercept and interpret data. Greg explains that organizations typically focus on the inf…
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What can Apache Kafka Developers learn from Online Gaming?
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What can online gaming teach us about making large-scale event management more collaborative in real-time? Ben Gamble (Developer Relations Manager, Aiven) has come to the world of real-time event streaming from an usual source: the video games industry. And if you stop to think about it, modern online games are complex, distributed real-time data s…
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Apache Kafka 3.4 - New Features & Improvements
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Apache Kafka® 3.4 is released! In this special episode, Danica Fine (Senior Developer Advocate, Confluent), shares highlights of the Apache Kafka 3.4 release. This release introduces new KIPs in Kafka Core, Kafka Streams, and Kafka Connect. In Kafka Core: KIP-792 expands the metadata each group member passes to the group leader in its JoinGroup sub…
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How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems
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How can you use OpenTelemetry to gain insight into your Apache Kafka® event systems? Roman Kolesnev, Staff Customer Innovation Engineer at Confluent, is a member of the Customer Solutions & Innovation Division Labs team working to build business-critical OpenTelemetry applications so companies can see what’s happening inside their data pipelines. I…
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What is Data Democratization and Why is it Important?
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Data democratization allows everyone in an organization to have access to the data they need, and the necessary tools needed to use this data effectively. In short, data democratization enables better business decisions. In this episode, Rama Ryali, a Senior IT and Data Executive, chats with Kris Jenkins about the importance of data democratization…
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Git for Data: Managing Data like Code with lakeFS
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Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same workflows for code and data. In this episode, Kris sits down with guest Adi Polak, VP of DevX at Treeverse, to discuss how lakeFS can be used to facilita…
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Using Kafka-Leader-Election to Improve Scalability and Performance
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How does leader election work in Apache Kafka®? For the past 2 ½ years, Adithya Chandra, Staff Software Engineer at Confluent, has been working on Kafka scalability and performance, specifically partition leader election. In this episode, he gives Kris Jenkins a deep dive into the power of leader election in Kafka replication, why we need it, how i…
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Real-Time Machine Learning and Smarter AI with Data Streaming
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Are bad customer experiences really just data integration problems? Can real-time data streaming and machine learning be democratized in order to deliver a better customer experience? Airy, an open-source data-streaming platform, uses Apache Kafka® to help business teams deliver better results to their customers. In this episode, Airy CEO and co-fo…
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The Present and Future of Stream Processing
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The past year saw new trends emerge in the world of data streaming technologies, as well as some unexpected and novel use cases for Apache Kafka®. New reflections on the future of stream processing and when companies should adopt microservice architecture inspired several talks at this year’s industry conferences. In this episode, Kris is joined by…
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Top 6 Worst Apache Kafka JIRA Bugs
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Entomophiliac, Anna McDonald (Principal Customer Success Technical Architect, Confluent) has seen her fair share of Apache Kafka® bugs. For her annual holiday roundup of the most noteworthy Kafka bugs, Anna tells Kris Jenkins about some of the scariest, most surprising, and most enlightening corner cases that make you ask, “Ah, so that’s how it rea…
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Learn How Stream-Processing Works The Simplest Way Possible
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Could you explain Apache Kafka® in ways that a small child could understand? When Mitch Seymour, author of Mastering Kafka Streams and ksqlDB, wanted a way to communicate the basics of Kafka and event-based stream processing, he decided to author a children’s book on the subject, but it turned into something with a far broader appeal. Mitch conceiv…
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Building and Designing Events and Event Streams with Apache Kafka
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What are the key factors to consider when developing event-driven architecture? When properly designed, events can connect existing systems with a common language and allow data exchange in near real time. They also help reduce complexity by providing a single source of truth that eliminates the need to synchronize data between different services o…
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Rethinking Apache Kafka Security and Account Management
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Is there a better way to manage access to resources without compromising security? New employees need access to a variety of resources within a company's tech stack. But manually granting access can be error-prone. And when employees leave, their access must be revoked, thus potentially introducing security risks if an admin misses one. In this pod…
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Real-time Threat Detection Using Machine Learning and Apache Kafka
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Can we use machine learning to detect security threats in real-time? As organizations increasingly rely on distributed systems, it is becoming more important to analyze the traffic that passes through those systems quickly. Confluent Hackathon ’22 finalist, Géraud Dugé de Bernonville (Data Consultant, Zenika Bordeaux), shares how his team used Tens…
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Improving Apache Kafka Scalability and Elasticity with Tiered Storage
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What happens when you need to store more than a few petabytes of data? Rittika Adhikari (Software Engineer, Confluent) discusses how her team implemented tiered storage, a method for improving the scalability and elasticity of data storage in Apache Kafka®. She also explores the motivating factors for building it in the first place: cost, performan…
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Decoupling with Event-Driven Architecture
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In principle, data mesh architecture should liberate teams to build their systems and gather data in a distributed way, without having to explicitly coordinate. Data is the thing that can and should decouple teams, but proper implementation has its challenges. In this episode, Kris talks to Florian Albrecht (Solution Architect, Hermes Germany) abou…
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