Data Archives - Software Engineering Daily

Data Archives - Software Engineering Daily episodes:

• 03.07.2024

  Iceberg at Netflix and Beyond with Ryan Blue

  Apache Iceberg is an open source high-performance format for huge data tables. Iceberg enables the use of SQL tables for big data, while making it possible for engines like Spark and Hive to safely work with the same tables, at...

  
• 02.06.2024

  Building a Data Lake with Adam Ferrari

  Starburst is a data lake analytics platform. It’s designed to help users work with structured data at scale, and is built on the open source platform, Trino. Adam Ferrari is the SVP of Engineering at Starburst. He joins the show...

  
• 12.28.2023

  Rama with Nathan Marz

  Building scalable software applications can be complex and typically requires dozens of different tools. The engineering often involves handling many arcane tasks that are distant from actual application logic. In addition, a lack of a cohesive model for building applications...

  
• 12.25.2023

  Bonus Episode: SurrealDB with Tobie Morgan Hitchcock

  SurrealDB is the result of a long-time collaboration between brothers Tobie and Jaime Morgan Hitchcock. The project has modest origins and started merely to support other projects the brothers were working on. However, over time the project grew and in...

  
• 12.07.2023

  Tracking Drug Smugglers and Migrating Databases with Benny Keinan and Lior Resisi

  Maritime logistics is the process organizing the movement of goods across the ocean. Historically, this has been a challenging problem because of the multinational nature of shipping, as well as piracy, smuggling, and legacy technology. It’s also profoundly important for...

  
• 11.29.2023

  The Right to Be Forgotten with Gal Ringel

  Data breaches at major companies are so now common that they hardly make the news. The Wikipedia page on data breaches lists over 350 between 2004 and 2023. The Equifax breach in 2017 was especially notable because over 160 million...

  
• 11.28.2023

  Sofascore with Josip Stuhli

  If you’re a sports fan and like to track sports statistics and results, you’ve probably heard of Sofascore. The website started in 2010 and ran on a modest single server. It now has 25 million monthly active users, covers 20...

  
• 11.23.2023

  Daytona with Ivan Burazin

  Cloud-based software development platforms such as GitHub Codespaces continue to grow in popularity. These platforms are attractive to enterprise organizations because they can be managed centrally with security controls. However, many, if not most, developers prefer a local IDE. Daytona...

  
• 11.22.2023

  GraphAware with Luanne Misquitta

  Knowledge graphs are an intuitive way to define relationships between objects, events, situations, and concepts. Their ability to encode this information makes them an attractive database paradigm. Hume is a graph-based analysis solution developed by GraphAware. It represents data as...

  
• 11.09.2023

  Chronosphere with Martin Mao

  Observability software helps teams to actively monitor and debug their systems, and these tools are increasingly vital in DevOps. However, it’s not uncommon for the volume of observability data to exceed the amount of actual business data. This creates two...

  
• 10.24.2023

  Streamlit with Amanda Kelly

  The importance of data teams is undeniable. Most companies today use data to drive decision-making on anything from software feature development to product strategy, hiring and marketing. In some companies data is the product, which can make data teams even...

  
• 10.18.2023

  Modern Web Scraping with Erez Naveh

  Today it’s estimated there are over 1 billion websites on the internet. Much of this content is optimized to be viewed by human eyes, not consumed by machines. However, creating systems to automatically parse and structure the web greatly extends...

  
• 10.12.2023

  Observability with Eduardo Silva

  There are hundreds of observability companies out there, and many ways to think about observability, such as application performance monitoring, server monitoring, and tracing. In a production application, multiple tools are often needed to get proper visibility on the application....

  
• 10.05.2023

  AI and Business Analytics with John Adams

  It’s now clear that the adoption of AI will continue to increase, with nearly every industry working to rapidly incorporate it into their systems and applications to provide greater value to their users. Business analytics is a key domain that...

  
• 09.07.2023

  Highly Scalable NoSQL with Dor Laor

  ScyllaDB is a fast and highly scalable NoSQL database designed to provide predictable performance at a massive cloud scale. It can handle millions of operations per second at a scale of gigabytes or petabytes. It’s also designed to be compatible...

  
• 08.08.2023

  Database Caching with Ben Hagan

  Database caching is a fundamental challenge in database management and there are hundreds of techniques to satisfy different caching scenarios. PolyScale is a fully automated database cache. It offers an innovative approach to database caching, leveraging AI and automated configuration...

  
• 07.20.2023

  Data-Centric AI with Alex Ratner

  Companies have high hopes for Machine learning and AI to support real-time product offerings, prevent fraud and drive innovation. But there was a catch – training models require labeled data that machines can digest. As data volumes increase, the opportunity...

  
• 07.11.2023

  Making Data-Driven Decisions with Soumyadeb Mitra

  RudderStack is a warehouse-native customer data platform (CDP) that helps businesses collect, unify, and activate customer data from all their different sources. In today’s episode, we’re talking to Soumyadeb Mitra, the founder and CEO of RudderStack. We discuss the importance...

  
• 06.30.2023

  Customer-facing Analytics with Tyler Wells

  The state of Data inside most companies is chaotic. It takes significant time and investment to tame this chaos. When you are a platform provider you are gathering tons of data from the developers using your platform. These developers building...

  
• 06.12.2023

  Data Reliability with Barr Moses and Lior Gavish

  As companies depend more on data to improve digital products and make informed decisions, it’s crucial that the data they use be accurate and reliable. MonteCarlo, the data reliability company, is the creator of the industry’s first end-to-end data observability...

  
• 05.26.2023

  Low-Code SQL on dbt Core with Raj Bains from Prophecy

  In this podcast episode, we take a look at the intricacies of low-code data pipelines with Raj Bains, the founder of Prophecy.io. Raj shares valuable insights into how performant low-codedata pipelines are revolutionizing industries and transforming everyday operations. Raj discusses...

  
• 04.20.2023

  Open-Source Embedding Database with Anton Troynikov

  Chroma is an open source embedding database that is designed to make it easy to build large language model applications by making knowledge, facts and skills pluggable. Anton Troynikov is the co-founder of Chroma and he is our guest today....

  
• 04.13.2023

  Data Activation with Tejas Manohar

  Data Activation is the method of unlocking the knowledge sorted within your data warehouse, and making it actionable by your business users in the end tools that they use every day. In doing so, Data Activation helps bring data people...

  
• 04.07.2023

  Self-Service Data Culture with Stemma’s Mark Grover

  A data catalog provides an index into the data sets and schemas of a company.Data teams are growing in size, and more companies than ever have a data team, so the market for data catalog is larger than ever. Mark...

  
• 04.06.2023

  Streaming Analytics with Hojjat Jafarpour

  Streaming analytics refers to the process of analyzing real-time data that is generated continuously and rapidly from various sources, such as sensors, applications, social media, and other internet-connected devices. Streaming analytics platforms enable organizations to extract business value from data...

  
• 04.03.2023

  Turso: Globally Replicated SQLite with Glauber Costa

  Distributed databases are necessary for storing and managing data across multiple nodes in a network. They provide scalability, fault tolerance, improved performance, and cost savings. By distributing data across nodes, they allow for efficient processing of large amounts of data...

  
• 03.20.2023

  Observability Trends with John Hart

  DataSet is a log analytics platform provided by Sentinel One that helps DevOps, IT engineering, and security teams get answers from their data across all time periods, both live streaming and historical. It’s powered by a unique architecture that uses...

  
• 03.10.2023

  Data Investing and the MAD with Matt Turck

  There are many types of early stage funding available from friends and family to seed to series A.  Some firms invest across a wide set of technologies and seek only to provide capital. Others are in it for the long...

  
• 11.11.2022

  Accessing Data at Scale with Justin Borgman

  The Presto/Trino project makes distributed querying easier across a variety of data sources. As the need for machine learning and other high volume data applications has increased, the need for support, tooling, and cloud infrastructure for Presto/Trino has increased with...

  
• 11.07.2022

  Building on the Data Cloud with Torsten Grabs

  Building and managing data-intensive applications has traditionally been costly and complex, and has placed an operational burden on developers to maintain as their organization scales. Todays’ developers, data scientists, and data engineers need a streamlined, single cloud data platform for...

  
• 09.12.2022

  Serverless Clickhouse for Developers with Jorge Sancha

  Data analytics technology and tools have seen significant improvements in the past decade. But, it can still take weeks to prototype, build and deploy new transformations and deployments, usually requiring considerable engineering resources. Plus, most data isn’t real-time. Instead, most...

  
• 08.25.2022

  Lakehouse Data Stack with Raj Bains

  Originally published on April 12, 2022. As companies move to Spark and a Lakehouse architecture, they are realizing that the data tools are lagging way behind.  You need to be a programmer to effectively use Spark and Airflow. There are...

  
• 08.18.2022

  Data Infrastructure for Finance

  Data is becoming a bank’s biggest asset. These complex enterprises have a huge opportunity ahead – to transform themselves to become a trusted hub of a much broader data ecosystem that goes beyond the financial industry and helps to form...

  
• 08.05.2022

  Faking Data Using Tonic.ai with Ian Coe and Adam Kamor

  Ian Coe CEO Adam Kamor Head of Engineering Companies that gather data about their users have an ethical obligation and legal responsibility to protect the personally identifiable information in their dataset.  Ideally, developers working on a software application wouldn’t need...

  
• 07.28.2022

  Couchbase with Ravi Mayuram

  Couchbase is a distributed NoSQL cloud database. Since its creation, Couchbase has expanded into edge computing, application services, and most recently, a database-as-a-service called Capella.  Couchbase started as an in-memory cache and needed to be rearchitected to be a persistent...

  
• 06.01.2022

  Decodable Streaming with Eric Sammer

  Streaming data platforms like Kafka, Pulsar, and Kinesis are now common in mainstream enterprise architectures, providing low-latency real-time messaging for analytics and applications. However, stream processing – the act of filtering, transforming, or analyzing the data inside the messages –...

  
• 05.14.2022

  Data Delivery with Naqeeb Memon

  Data-as-a-service is a company category type that is not as common as API-as-a-service, software-as-a-service, or platform-as-a-service. In order to vend data, a data-as-a-service provider needs to define how that data will be priced, stored, and delivered to users: streaming over...

  
• 05.11.2022

  Data Labeling with Michael Malyuk

  Data labeling allows machine learning algorithms to find patterns among the data. There are a variety of data labeling platforms that enable humans to apply labels to this data and ready it for algorithms. Heartex is a data labeling platform...

  
• 05.09.2022

  Pinot and StarTree with Chinmay Soman

  Real-time analytics are difficult to achieve because large amounts of data must be integrated into a data set as that data streams in. As the world moved from batch analytics powered by Hadoop into a norm of “real-time” analytics, a...

  
• 04.29.2022

  Data Loss Prevention with Yasir Ali

  Data loss can occur when large data sources such as Slack or Google Drive get leaked. In order to detect and avoid leaks, a data asset graph can be built to understand the risks of a company environment. Polymer is...

  
• 04.27.2022

  Airbyte Engineering with Michel Tricot

  Data integration infrastructure is not easy to build. Moving large amounts of data from one place to another has historically required developers to build ad hoc integration points to move data between SaaS services, data lakes, and data warehouses. Today,...

  
• 04.25.2022

  Select Star with Shinji Kim

  Modern organizations eventually face data governance challenges.  Keeping track of where data came from, what systems update it, in what ways updates can be made are just some of the issues to be tackled.  Large organizations face additional challenges like...

  
• 04.14.2022

  Time Series IoT on InfluxDB with Brian Gilmore

  The solution many turn to for capturing their streaming data is InfluxDB.  In this episode, I interview Brian Gilmore, Director of Product Management at InfluxData, about how real time applications achieve success built on top of InfluxDB. When most people...

  
• 04.12.2022

  Lakehouse Data Stack with Raj Bains

  As companies move to Spark and a Lakehouse architecture, they are realizing that the data tools are lagging way behind.  You need to be a programmer to effectively use Spark and Airflow. There are some low-code ETL tools, but is...

  
• 04.05.2022

  Data Engineering Trends with Lior Gavish and James Densmore

  Lior Gavish James Densmore Data infrastructure is a fast-moving sector of the software market. As the volume of data has increased, so too has the quality of tooling to support data management and data engineering. In today’s show, we have...

  
• 03.31.2022

  PlanetScale Management with Sam Lambert

  Running a database company requires expertise in both technical and managerial skills. There are deeply technical engineering questions around query paths, scalability, and distributed systems. And there are complex managerial questions around developer productivity and task allocation. Sam Lambert is...

  
• 03.29.2022

  SingleStore with Jordan Tigani

  SingleStore is a multi-use, multi-model database designed for transactional and analytic workloads, as well as search and other domain specific applications. SingleStore is the evolution of the database company MemSQL, which sought to bring fast, in-memory SQL database technology to...

  
• 03.19.2022

  DuckDB with Hannes Muleisen

  DuckDB is a relational database management system with no external dependencies, with a simple system for deployment and integration into build processes. It enables complex queries in SQL with a large function library, and provides transactional guarantees through multi-version concurrency...

  
• 03.16.2022

  RudderStack Engineering with Soumaydeb Mitra

  Customer data pipelines power the backend of many successful web platforms. In a customer data pipeline, data is collected from sources such as mobile apps and cloud SaaS tools, transformed and munged using data engineering, stored in data warehouses, and...

  
• 03.09.2022

  Apache Hudi with Vinoth Chandar

  The data lake architecture has become broadly adopted in a relatively short period of time.  In a nutshell, that means data in it’s raw format stored in cloud object storage.  Modern software and data engineers have no shortage of options...