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Introduction to Data Integration OR What is ETL?

Xplenty explains the basics of Data Integration: What is ETL (Extract Transform Load), what are its main functions and when you would need them.

Big Data

Cloud vs. On-Prem Data Warehouse

Xplenty explain the basic considerations for choosing between a data warehouse solution on the cloud vs. on-premise.

ETL

7 Tips to Improve ETL Performance

There are several ways you can increase your ETL speed - concentrate on bottlenecks, load data incrementally, partition large tables, process only relevant data, try caching, and use parallel processing.

Hadoop

Spark vs. Hadoop MapReduce

Apache Spark is setting the world of Big Data on fire. With a promise of speeds up to 100 times faster than Hadoop MapReduce and comfortable APIs, some think this...

Business Intelligence

ETL vs ELT or Data Warehouse vs Data Lake

Which BI architecture is better for your organization, ETL or ELT? This article explains the considerations and also how they relate to Data Warehouses and Data Lakes.

Big Data

Data for Breakfast?

A fun day at Snowflake's Data for Breakfast event in Salt Lake City.

Hadoop

Spark vs. Tez: What's the Difference?

On paper, Spark and Tez have a lot in common: both possess in-memory capabilities, can run on top of Hadoop YARN and support all data types from any data sources....

Business Intelligence

Demystifying SaaS Dashboards

Quickly create a SaaS dashboard for your office TVs, using Xplenty, Google BigQuery, Google Data Studio and Screen Cloud.

ETL

ETL - Is it Still Relevant?

Buzz about Big Data has been at fever pitch for over a year now. We hear a lot about how the insights we glean will propel businesses, about emerging technologies, and...

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