AWS Big Data

DECEMBER 12, 2023

Use EMR Serverless to transform the data using PySpark code and then store the transformed data back in your S3 bucket. Use Athena to create an external table based on the S3 dataset and run queries to analyze the transformed data. Athena uses the AWS Glue Data Catalog to store the table metadata.

Data Processing 89

Data Processing Management Statistics Interactive 89

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before. Machine learning adds uncertainty.

Management 339

Management Machine Learning Experimentation Metrics 339

Alation

APRIL 25, 2023

But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

AWS Big Data

JUNE 9, 2023

Iceberg doesn’t optimize file sizes or run automatic table services (for example, compaction or clustering) when writing, so streaming ingestion will create many small data and metadata files. Using column statistics , Iceberg offers efficient updates on tables that are sorted on a “key” column.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. Monitoring Job Metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Domino Data Lab

JULY 21, 2019

The approach is to provide remote access for government analysts and researchers to confidential data in a secure data facility and to build analytical capacity and collaborations through an Applied Data Analytics training program. What am I talking about with the new types of data?

Metadata 65

Metadata Statistics Risk Machine Learning 65

Domino Data Lab

AUGUST 8, 2019

I mention this here because there was a lot of overlap between current industry data governance needs and what the scientific community is working toward for scholarly infrastructure. The gist is, leveraging metadata about research datasets, projects, publications, etc., Data governance, for the win! machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Andrew White

JANUARY 9, 2022

We found anecdotal data that suggested things such as a) CDO’s with a business, more than a technical, background tend to be more effective or successful, and b) CDOs most often came from a business background, and c) those that were successful had a good chance at becoming CEO or CEO or some other CXO (but not really CIO).

Analytics 64

Analytics Measurement Modeling Data-driven 64

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

DataKitchen

JANUARY 23, 2023

Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements. Data testing can be done through various methods, such as data profiling, Statistical Process Control, and quality checks.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Jet Global

MAY 1, 2023

Some cloud applications can even provide new benchmarks based on customer data. Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. These advanced analytics become easy for users to apply in their own analyses. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52