article thumbnail

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

article thumbnail

Exploring real-time streaming for generative AI Applications

AWS Big Data

Feedback analytics and fine-tuning It’s important for data operation managers and AI/ML developers to get insight about the performance of the generative AI application and the FMs in use. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Daily, data analysts engage in various tasks tailored to their organization’s needs, including identifying efficiency improvements, conducting sector and competitor benchmarking, and implementing tools for data validation. BI tools : Enables data aggregation, analysis, and visualization through dashboards and shared reports.

article thumbnail

Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics: Part 2

AWS Big Data

AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. However, you might need to track key performance indicators across multiple jobs. Lastly, configure the dashboard.

Metrics 97
article thumbnail

5 Best Practices for Extracting, Analyzing, and Visualizing Data

Smart Data Collective

There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Data lakes hold raw data that has not yet been altered to meet a specific purpose.

article thumbnail

Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Discover the available data sources. Data changes. Evaluate your key performance indicators.

article thumbnail

6 BI challenges IT teams must address

CIO Business Intelligence

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. But what they really need to do is fundamentally rethink how data is managed and accessed,” he says.

IT 126