Data Engineering Podcast
Tobias Macey
Data Engineering Podcast
Tobias Macey
Tuesday 15 June 2021 : When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object...
Saturday 12 June 2021 : Google pioneered an impressive number of the architectural underpinnings of the broader big data ecosystem. Now they offer the technologies...
Wednesday 09 June 2021 : The way to build maintainable software and systems is through composition of individual pieces. By making those pieces high quality and...
Thursday 03 June 2021 : SQL is the most widely used language for working with data, and yet the tools available for writing and collaborating on it are still clunky...
Wednesday 02 June 2021 : Every part of the business relies on data, yet only a small team has the context and expertise to build workflows and pipelines to...
Friday 28 May 2021 : The data warehouse has become the focal point of the modern data platform. With increased usage of data across businesses, and a diversity...
Tuesday 25 May 2021 : Machine learning models use vectors as the natural mechanism for representing their internal state. The problem is that in order for the...
Tuesday 25 May 2021 : Machine learning models use vectors as the natural mechanism for representing their internal state. The problem is that in order for the...
Friday 21 May 2021 : Data governance is a phrase that means many different things to many different people. This is because it is actually a concept that...
Tuesday 18 May 2021 : Data lineage is the common thread that ties together all of your data pipelines, workflows, and systems. In order to get a holistic...
Friday 14 May 2021 : There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require...
Tuesday 11 May 2021 : Building an API for real-time data is a challenging project. Making it robust, scalable, and fast is a full time job. The team at Tinybird...
Friday 07 May 2021 : Spark is one of the most well-known frameworks for data processing, whether for batch or streaming, ETL or ML, and at any scale. Because of...
Tuesday 04 May 2021 : The Data industry is changing rapidly, and one of the most active areas of growth is automation of data workflows. Taking cues from the...
Tuesday 27 April 2021 : The reason for collecting, cleaning, and organizing data is to make it usable by the organization. One of the most common and widely used...
Tuesday 20 April 2021 : Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that...
Tuesday 13 April 2021 : "Business as usual" is changing, with more companies investing in data as a first class concern. As a result, the data team is growing and...
Tuesday 06 April 2021 : One of the biggest obstacles to success in delivering data products is cross-team collaboration. Part of the problem is the difference in...
Tuesday 30 March 2021 : Data quality is on the top of everyone's mind recently, but getting it right is as challenging as ever. One of the contributing factors is...
Tuesday 23 March 2021 : The world of business is becoming increasingly dependent on information that is accurate up to the minute. For analytical systems, the only...
Tuesday 16 March 2021 : The team at DoorDash has a complex set of optimization challenges to deal with using data that they collect from a multi-sided marketplace....
Tuesday 09 March 2021 : A majority of the time spent in data engineering is copying data between systems to make the information available for different purposes....
Tuesday 02 March 2021 : The process of building and deploying machine learning projects requires a staggering number of systems and stakeholders to work in concert....
Tuesday 23 February 2021 : Data integration is a critical piece of every data pipeline, yet it is still far from being a solved problem. There are a number of managed...
Tuesday 16 February 2021 : Every business aims to be data driven, but not all of them succeed in that effort. In order to be able to truly derive insights from the...
Data Engineering Podcast
Tobias Macey
Accelerating ML Training And Delivery With In-Database Machine Learning
When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object...
Taking A Tour Of The Google Cloud Platform For Data And Analytics
Google pioneered an impressive number of the architectural underpinnings of the broader big data ecosystem. Now they offer the technologies...
Make Sure Your Records Are Reliable With The BookKeeper Distributed Storage Layer
The way to build maintainable software and systems is through composition of individual pieces. By making those pieces high quality and...
Build Your Analytics With A Collaborative And Expressive SQL IDE Using Querybook
SQL is the most widely used language for working with data, and yet the tools available for writing and collaborating on it are still clunky...
Making Data Pipelines Self-Serve For Everyone With Shipyard
Every part of the business relies on data, yet only a small team has the context and expertise to build workflows and pipelines to...
Paving The Road For Fast Analytics On Distributed Clouds With The Yellowbrick Data Warehouse
The data warehouse has become the focal point of the modern data platform. With increased usage of data across businesses, and a diversity...
Easily Build Advanced Similarity Search With The Pinecone Vector Database
Machine learning models use vectors as the natural mechanism for representing their internal state. The problem is that in order for the...
Easily Build Advanced Similarity Search With The Pinecone Vector Database
Machine learning models use vectors as the natural mechanism for representing their internal state. The problem is that in order for the...
A Holistic Approach To Data Governance Through Self Reflection At Collibra
Data governance is a phrase that means many different things to many different people. This is because it is actually a concept that...
Unlocking The Power of Data Lineage In Your Platform with OpenLineage
Data lineage is the common thread that ties together all of your data pipelines, workflows, and systems. In order to get a holistic...
Building Your Data Warehouse On Top Of PostgreSQL
There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require...
Making Analytical APIs Fast With Tinybird
Building an API for real-time data is a challenging project. Making it robust, scalable, and fast is a full time job. The team at Tinybird...
Making Spark Cloud Native At Data Mechanics
Spark is one of the most well-known frameworks for data processing, whether for batch or streaming, ETL or ML, and at any scale. Because of...
The Grand Vision And Present Reality of DataOps
The Data industry is changing rapidly, and one of the most active areas of growth is automation of data workflows. Taking cues from the...
Self Service Data Exploration And Dashboarding With Superset
The reason for collecting, cleaning, and organizing data is to make it usable by the organization. One of the most common and widely used...
Moving Machine Learning Into The Data Pipeline at Cherre
Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that...
Exploring The Expanding Landscape Of Data Professions with Josh Benamram of Databand
"Business as usual" is changing, with more companies investing in data as a first class concern. As a result, the data team is growing and...
Put Your Whole Data Team On The Same Page With Atlan
One of the biggest obstacles to success in delivering data products is cross-team collaboration. Part of the problem is the difference in...
Data Quality Management For The Whole Team With Soda Data
Data quality is on the top of everyone's mind recently, but getting it right is as challenging as ever. One of the contributing factors is...
Real World Change Data Capture At Datacoral
The world of business is becoming increasingly dependent on information that is accurate up to the minute. For analytical systems, the only...
Managing The DoorDash Data Platform
The team at DoorDash has a complex set of optimization challenges to deal with using data that they collect from a multi-sided marketplace....
Leave Your Data Where It Is And Automate Feature Extraction With Molecula
A majority of the time spent in data engineering is copying data between systems to make the information available for different purposes....
Bridging The Gap Between Machine Learning And Operations At Iguazio
The process of building and deploying machine learning projects requires a staggering number of systems and stakeholders to work in concert....
Self Service Open Source Data Integration With AirByte
Data integration is a critical piece of every data pipeline, yet it is still far from being a solved problem. There are a number of managed...
Building The Foundations For Data Driven Businesses at 5xData
Every business aims to be data driven, but not all of them succeed in that effort. In order to be able to truly derive insights from the...
