Analytics Big Data Performance Training 
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. Learning-based methods train classifiers for pruning. ACM Computing Surveys, Dec. 2020, Article No.
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. Creating training datasets for machine learning !
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dynatrace
JULY 6, 2022
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. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation.
Scalegrid
MAY 13, 2020
Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.
SQL Server According to Bob
FEBRUARY 15, 2018
Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Best practices on Building a Big Data Analytics Solution – Michael Rys.
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. Analyze the data. It works without having to identify training data, then training and honing. Execute an action plan.
Dynatrace
OCTOBER 14, 2021
Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” They require extensive training, and real-user must spend valuable time filtering any false positives. What is AIOps?
Expert insights. Personalized for you.
83 
Let's personalize your content