Webinars

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Webinars on Data Ingest
How to build an automated customer data onboarding pipeline in CloverDX
Kevin Scott

How to build an automated customer data onboarding pipeline in CloverDX

Onboarding new customers and their data doesn't have to take up so much dev time. See how to build an automated data pipeline to ingest and transform customer data automatically - regardless of format.
How engineers can adopt new data at least 2x faster - 13th December 2022
Brano Repcek

How engineers can adopt new data at least 2x faster - 13th December 2022

See how engineering teams can speed up the process of getting new data into systems, by using flexible templated solutions.
Faster onboarding of customer data sources through automation
Calvin Cortez

Faster onboarding of customer data sources through automation

See how to standardize and automate your customer data ingestion process, so you can onboard customers to your platform faster, and with less development resource.
Data validation in data ingestion processes
Cullen Patel

Data validation in data ingestion processes

How to build an automated data ingestion pipeline that includes data validation steps in order to detect, monitor and fix data quality issues.
How to make data ingestion faster, more reliable and easier to scale (without adding headcount)
Kevin Scott

How to make data ingestion faster, more reliable and easier to scale (without adding headcount)

How to build an automated data ingestion pipeline: a CloverDX case study. See how you can orchestrate your data ingest process, including error handling.
Improving security and compliance in your data ingestion process
Brano Repcek

Improving security and compliance in your data ingestion process

There are a lot of things you can do to improve data security and compliance in your data ingest processes, many of which are not even hard to do. Make sure you're covering all the bases when ingesting data to cloud.
Data ingestion into S3, Azure Blob, Redshift, Snowflake: What are your options?
Brano Repcek

Data ingestion into S3, Azure Blob, Redshift, Snowflake: What are your options?

There are a lot of ways to get your data into cloud, but not all make sense in all cases. We'll help you navigate the options and manage your data effectively.
Continuous data ingestion into Snowflake
Kevin Scott

Continuous data ingestion into Snowflake

How do you get data into your Snowflake warehouse quickly - not nightly loads, but quick updates minutes after the data has been created or modified elsewhere?

How setting up a data ingestion framework helps automate and speed up data onboarding
Kevin Scott

How setting up a data ingestion framework helps automate and speed up data onboarding

How fast you can onboard data can impact how quickly your business makes money. See how you can automate and speed up this process by creating a data ingestion framework.
Data ingestion vs data integration - what's the difference?
Pavel Svec

Data ingestion vs data integration - what's the difference?

Learn the differences between two of the most common data engineering terms – data integration and ingestion. See when to use each term and what tools can help you achieve your goals.
How SaaS companies can ramp up growth by significantly cutting client onboarding times
Brano Repcek
Pavel Najvar

How SaaS companies can ramp up growth by significantly cutting client onboarding times

Watch this webinar to understand how you can significantly cut costs and development time required to get a new client and their data onto your platform or service.
Faster Onboarding of Client Data
Lucas Stone

Faster Onboarding of Client Data

In this webinar, we looked at the challenges and best practises for ingesting data into applications and how to make it easier, faster and quite often just even possible.
How to load data into Snowflake more efficiently with CloverDX
Pavel Svec

How to load data into Snowflake more efficiently with CloverDX

Watch this webinar and see how you can combine ETL, ELT and modern cloud data delivery methods into a flexible and high-performance data loading scheme.

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