CIO Business Intelligence

JUNE 13, 2023

Only you know when that moment might be for your tech stack. But now many are recognizing that data may be used in different ways and maybe access needs to be more regulated. The biggest worries are coming from websites that recognize how their data may be used to train AI models. See here and here , for instance.)

IT 139

IT Scorecard Software Modeling 139

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. In this post, we discuss a common use case in relation to operational data processing and the solution we built using Apache Hudi and AWS Glue.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products?

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Insight

AUGUST 12, 2019

For system administrators, operations engineers, and others with strong systems and software backgrounds, there’s perhaps no better time than the present to transition into DevOps. Interviews can range from standard software engineer coding questions to questions on system design, Linux debugging, and DevOps tools.

Software 65

Software Data-driven Testing Interactive 65

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Sound familiar? What is CDSW? Install any library or framework (e.g.

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

Domino Data Lab

MAY 8, 2019

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. They’ve become “embedded institutions” in engineering. Unfortunately, ML applications introduce twists that are not matters for engineering to resolve. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What does a modern technology stack for streamlined ML processes look like? How can you start applying the stack in practice today?

IT 346

IT Testing Experimentation Software 346

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data. and 2.6) [ in the book].

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Cloudera

AUGUST 26, 2020

On August 18, we completed our Enterprise Data Cloud vision of bringing a truly hybrid cloud experience with the general availability of Cloudera Data Platform Private Cloud (CDP Private Cloud). Informatica and Cloudera deliver a proven set of solutions for rapidly curating data into trusted information.

Machine Learning 79

Machine Learning Big Data Data Warehouse Data-driven 79