AWS Big Data

MARCH 25, 2024

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. For more details, refer to Create a low-latency source-to-data lake pipeline using Amazon MSK Connect, Apache Flink, and Apache Hudi.

Data Lake 94

Data Lake Unstructured Data Management Modeling 94

AWS Big Data

MARCH 7, 2023

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.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

bridgei2i

MARCH 11, 2021

With improved data cataloging functionality, their systems can become responsive. It’ll become easier to store metadata (data lakes, warehouses, data quality systems, etc.) Over time, as more data is constantly fed to the responsive system, ML algorithms improve their efficiency. in the system.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

AWS Big Data

APRIL 18, 2024

The Salesforce Trust Intelligence Platform (TIP) log platform team is responsible for data pipeline and data lake infrastructure, providing log ingestion, normalization, persistence, search, and detection capability to ensure Salesforce is safe from threat actors. This is the bronze layer of the TIP data lake.

Optimization 91

Optimization Data Lake Management Key Performance Indicator 91

FineReport

MARCH 24, 2024

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.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

DECEMBER 13, 2022

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.

Visualization 135

Visualization Key Performance Indicator Sales Data Lake 135

AWS Big Data

FEBRUARY 13, 2024

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.

Metrics 102

Metrics Dashboards Visualization Key Performance Indicator 102