Analytics Big Data Strategy Training 
Dynatrace
JULY 6, 2022
And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? AI that is based on machine learning needs to be trained. This requires significant data engineering efforts, as well as work to build machine-learning models. Big data automation tools.
The Morning Paper
DECEMBER 13, 2020
An overview of end-to-end entity resolution for big data , Christophides et al., It’s an important part of many modern data workflows, and an area I’ve been wrestling with in one of my own projects. There are a variety of strategies both for weighting and for pruning edges. ACM Computing Surveys, Dec. 2020, Article No.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The Morning Paper
SEPTEMBER 8, 2019
Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. All three sampling strategies are heavily used at Microsoft.
Tech News Gather
OCTOBER 7, 2023
In the ever-evolving landscape of business and marketing, where digital strategies often take center stage, it’s easy to overlook the enduring power of a simple phone call. Let’s explore why you should dedicate more thought and consideration to implementing a phone call tracking app in your business strategy.
Dynatrace
OCTOBER 17, 2022
Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. It works without having to identify training data, then training and honing. A huge advantage of this approach is speed.
The Netflix TechBlog
NOVEMBER 20, 2023
IPS enables users to continue to use the data processing patterns with minimal changes. Introduction Netflix relies on data to power its business in all phases. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge.
Highly Scalable
MARCH 10, 2015
Although there are many books on data mining in general and its applications to marketing and customer relationship management in particular [BE11, AS14, PR13 etc.], The rest of the article is organized as follows: We first introduce a simple framework that ties together a retailer’s actions, profits and data.
Expert insights. Personalized for you.
185 
Let's personalize your content