Data Stack

netsuite tips and tricks
Data Ops

3 NetSuite Tips and Tricks to Know

Netsuite is a robust solution with high customizability, and because of this, some users struggle to be efficient with their Netsuite workflows. In this guide, we’ll be walking through a few Netsuite tips and tricks to boost your ERP productivity.

data ingestion
Data Ops

Data Ingestion: Why and How Does It Happen?

The data ingestion process is essential for companies that use data regularly. Despite its importance, however, data ingestion doesn’t come without its challenges. Fortunately, there are tools that can alleviate some of these challenges. 

elt vs etl
Data Ops

ETL vs ELT: Which Is Better? [+ 5 Pros and Cons]

The main difference between ETL vs ELT is the process order and transformation stage, as well as the time it takes to perform both of these aspects. It’s up to you to decide what process is best for your data needs. This guide will help.

data transformation
Data Ops

Data Transformation and Its Benefits

Data transformation is often a key staple in companies who are looking to organize their data, while also building a foundation for other data professionals and business professionals to access that same data.

bigquery vs redshift
Data Ops

BigQuery vs Redshift: 3 Factors to Consider

Both Amazon and Google (as well as a number of other tech giants) offer data warehousing solutions for companies of all kinds. BigQuery vs Redshift … which is better for your organization and data needs?

what is amazon redshift
Data Ops

What Is Amazon Redshift? Your Questions Answered

Data is unrivaled in its power to reveal insights for your business and customers. But where can you store it? What tools help you navigate and analyze it? Amazon Redshift, a leading data warehouse, is one of them.

data warehouse vs data lake
Data Ops

Data Warehouse vs Data Lake: 3 Important Differences

More and more organizations are investing in data lakes for their business intelligence needs. However, approaching a data lake as another version of a data warehouse can lead to big issues. Let’s talk about a data warehouse vs a data lake.

google bigquery kloudio
Data Ops

Your Guide to Google BigQuery [+ 6 Pitfalls]

Today’s data analysts and administrators must keep up with more data than ever. While many cloud-based data warehouses have popped up to help solve this problem, they don’t scale quite like Google BigQuery.

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