Data Lake Data Workflow Hadoop 
Data Engineering Podcast
JUNE 23, 2024
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. When is Fabric the wrong choice?
Data Engineering Podcast
MARCH 24, 2024
Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.
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Data Engineering Podcast
JANUARY 21, 2024
In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).
Data Engineering Podcast
JANUARY 1, 2022
In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! To what extent do speed benchmarks inform decisions for modern data teams?
Snowflake
JULY 22, 2024
LTIMindtree’s PolarSled Accelerator helps migrate existing legacy systems, such as SAP, Teradata and Hadoop, to Snowflake. top modernizing your data lake with Snowflake, watch our on demand webinar.
Monte Carlo
MAY 14, 2024
The “legacy” table formats The data landscape has evolved so quickly that table formats pioneered within the last 25 years are already achieving “legacy” status. It was designed to support high-volume data exchange and compatibility across different system versions, which is essential for streaming architectures such as Apache Kafka.
AltexSoft
MARCH 14, 2023
Built around a cloud data warehouse, data lake, or data lakehouse. Modern data stack tools are designed to integrate seamlessly with cloud data warehouses such as Redshift, Bigquery, and Snowflake, as well as data lakes or even the child of the first two — a data lakehouse.
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