Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

Machine Learning 344

Machine Learning Finance Marketing Analytics 344

Sisense

MAY 12, 2019

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. DevOps analytics is the analysis of machine data to find insights that can be acted upon. DevOps data analytics can be set up and measured at any time during your DevOps journey.

Analytics 79

Analytics Dashboards KPI Measurement 79

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 84

Data Lake Data Warehouse Sales Data-driven 84

Domino Data Lab

JANUARY 6, 2019

Lately I’ve been developing curriculum for a client for their new “Intro to Data Science” sequence of courses. I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. That’s no problem.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Smart Data Collective

JULY 31, 2022

Predictive Analytics Helps Traders Deal with Market Uncertainty. We have talked about a lot of the benefits of using predictive analytics in finance. We mentioned that investors can use machine learning to identify potentially profitable IPOs. Analytics Vidhya, Neptune.AI

Predictive Analytics 131

Predictive Analytics Analytics Uncertainty Forecasting 131

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

APRIL 26, 2024

With trusted identity propagation, data access management can be based on a user’s corporate identity and can be propagated seamlessly as they access data with single sign-on to build analytics applications with Amazon EMR (EMR Studio and Amazon EMR on EC2). For User role ¸ you can create a new role or choose an existing role.

Analytics 106

Analytics Data Lake Management Enterprise 106