Xplenty's Blog - All Things Data - page 7 · Page 7

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Data Integration

What to Consider When Selecting a Data Warehouse for Your Business

Today, less than 0.5% of data is actually being used, and businesses lose over $600 billion a year because of bad data.

Data Integration

How to Transition to the Cloud: The Basics

There’s no denying that, in today’s technological landscape, there is an ever-growing, prevalent shift to cloud computing.

Features and Updates

Fully Integrated Marketing and Sales Data With Salesforce and Xplenty

Xplenty’s Salesforce integration helps you get all of your important data both to and from the Salesforce CRM easily and efficiently.

Business Intelligence

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...

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....

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