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Supporting Transformation with an Integrated Data Platform. Three Common Questions Answered.

In recent years there has been increased interest in how to safely and efficiently extend enterprise data platforms and workloads into the cloud. CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

Reverse ETL to NetSuite

Reverse ETL is a data integration technology that offers a wonderful way to enable solutions for making various stored data more actionable and usable. This process is especially helpful for enterprise business operation tools that help teams execute processes and meet goals more effectively. The idea is to use clean and accurate data to enhance various SaaS platforms and business management tools to enhance processes.

Optimizing your BigQuery incremental data ingestion pipelines

When you build a data warehouse, the important question is how to ingest data from the source system to the data warehouse. If the table is small you can fully reload a table on a regular basis, however, if the table is large a common technique is to perform incremental table updates. This post demonstrates how you can enhance incremental pipeline performance when you ingest data into BigQuery.

Data And The Music Industry | Rise Of The Data Cloud

Ever wondered how is data changing the music industry? In this episode, Moin Haque, SVP of Architecture and Engineering, and Vlad Barkov, VP of Data Architecture & Engineering at Warner Music Group, discuss the transformation of the music industry during the pandemic, choosing the right business partners, making data independent, and much more.

Data Warehouse vs Database: What is the difference and which one should you choose?

The world of big data is getting bigger every day. As the volume of data increases exponentially, businesses of all sizes try to capture raw data, process it, and extract insights for competitive decision-making. The end-to-end operation of extracting value from data is called the ETL process. It stands for: A crucial component of the ETL process is the data storage aspect. The two main contentious architectures for storage solutions are databases and data warehouses. But how do they differ?

Everything as a Service: Unlock Business Outcomes

In the wake of COVID-19, we saw a significant shift toward as-a-service offerings, something we haven’t seen in years. From conversations with CIOs over the past 12 months, we know they are looking for the flexibility, efficiencies and cost savings they get from the as-a-service model. This is especially important to them as they evolve their business models in a hybrid IT direction and become consumers of IT.