AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. FactSet has several datasets available in the AWS Data Exchange marketplace, which we used for reference data.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 71

Data Analytics Analytics IoT Data Lake 71

bridgei2i

AUGUST 11, 2020

My name is Aruna Babu, and I’m a transformation consultant who spent a good part of the last decade crafting strategy that marries business, technology and user needs. He says, you can come up with your, you know, your Sales process strategy, your technology strategy, or coaching strategy, your compensation strategy, etc.

Sales 98

Sales Enterprise B2B Digital Transformation 98

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required. It is continuously updated.

Metadata 92

Metadata Modeling Data Processing Unstructured Data 92

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

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 Reporting Visualization 56

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops! Data governance, for the win! Then rethink your hiring strategies w.r.t.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71