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Ingestion

Unify Your Data Operations with Nexla

Travis welcomes to his podcast Saket Saurabh, who provides a window into the world of data management and the self-service options that are democratizing it. Co-founder and CEO of Nexla, Saket has a passion for data and infrastructure and how to improve its flow among partners, customers and vendors.

Increase the Quality and Reliability of Your Data

In this episode, we speak with Lior Gavish, the co-founder of Monte Carlo to explore all things data quality. Monte Carlo is a data lineage and observability tool that lowers your data downtime.

Build Real-Time Data Pipelines in Minutes Not Months with Meroxa

In this episode, we speak with DeVaris Brown, he is the CEO and co-founder of Meroxa, which is a data platform that enables organizations to build real time data pipelines in minutes not months. Prior to founding Meroxa, DeVaris was a product leader at Twitter, Heroku, and Zendesk. In this episode we will be talking about all things data ingestion.

Reduce Data Movement and Decrease Processing Times with a Machine Scale Feature Store(Molecula)

In this episode, we speak with H.O. Maycotte. H.O. is the CEO/founder of Molecula, an enterprise feature store that simplifies, accelerates, and controls big data access to power machine-scale analytics and AI.Molecula is powered by Pilosa, an open source project created by H.O. and team. Pilosa eliminates the need to copy data between systems in order to make it accessible for analytical and machine learning purposes at scale. Leading companies like Spotify, Hulu, Uber, Zillow, ESPN are all utilizing Pilosa.

Why You Should Be Using (CDC) Change Data Capture for Ingestion with Datacoral

In this episode, we speak with Raghu Murthy. He is the founder of Datacoral, which provides serverless architectures that support data pipelines and orchestration to facilitate ELT into your Data Warehouse. Prior to founding Datacoral he was at Yahoo, Facebook and was part of the initial team that developed Hive. In this episode we will explore the best patterns for ingesting operational data into your data warehouse, creating metadata first architectures and the role Datacoral serves.