Remove resources retain-customers-with-a-data-platform
article thumbnail

Run interactive workloads on Amazon EMR Serverless from Amazon EMR Studio

AWS Big Data

EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug analytics applications written in PySpark, Python, and Scala. Make sure you set up resources like your S3 bucket, VPC subnets, and EMR Studio in the same AWS Region.

article thumbnail

Getting Started With Incremental Sales – Best Practices & Examples

datapine

A loyal, high-value repeat customer is worth more than a cheap sale, and by implementing the right strategy, setting the right goals, and working with the right KPIs, you will achieve the results you desire. To win on today’s commercial battlefield, incremental sales are the name of the game. What Are Incremental Sales?

Sales 176
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. In the following sections, Nexthink introduces their product and the need for scalability.

article thumbnail

Discover Powerful Small Business Dashboards & KPIs To Track For Success

datapine

The times were data analysis was segregated to big enterprises that had the necessary resources to carry it out are long gone. That said, this level of accessibility has turned the use of data from a choice to a mandatory practice for businesses that want to succeed, no matter their size. Table of Contents.

article thumbnail

Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111
article thumbnail

Time for a data center refresh? Get ahead of the growing digital landscape with a modern data center strategy

IBM Big Data Hub

Cloud service platforms abound promising greater elasticity and savings. There are times, though, when organizations prefer to keep certain applications and data in their own data center—security and compliance requirements or control of sensitive data for example.

article thumbnail

Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).