CIO Business Intelligence

DECEMBER 4, 2023

As data skyrockets—especially unstructured data—organizations need an intentional plan and ongoing approach to protect, manage, and optimize data for monetization. With constant advances in intelligent document processing, compute power, DevOps workflows, and AI, the content, context, and value of unstructured data is rapidly increasing.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

AWS Big Data

MARCH 25, 2024

Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator. Streaming storage provides reliable storage for streaming data.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

AWS Big Data

MAY 16, 2024

With the new REST API, you can now invoke DAG runs, manage datasets, or get the status of Airflow’s metadata database, trigger, and scheduler—all without relying on the Airflow web UI or CLI. To learn more about the Airflow REST API and its various endpoints, refer to the Airflow documentation.

Testing 90

Testing Interactive Metrics Management 90

AWS Big Data

NOVEMBER 3, 2023

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 88

Metrics Dashboards Metadata Visualization 88

DataRobot Blog

MAY 10, 2022

The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. For a detailed description of all the data quality checks DataRobot performs, please refer to the Data Quality Assessment documentation. To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Alation

OCTOBER 5, 2021

For organizations to succeed in monitoring, managing, and optimizing their data resources, they must always keep the importance of their data-driven initiatives at the top of all strategic planning agendas. If managers rely on incomplete or unproductive metrics, this can obstruct strategy. Lack of commitment. Incomplete data.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Cloudera

MARCH 14, 2023

A critical feature for every developer however is to get instantaneous feedback like configuration validations or performance metrics, as well as previewing data transformations for each step of their data flow. Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message.

Testing 87

Testing Publishing Metadata Interactive 87

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. String-optimized compression The Data Vault 2.0 You can use this mechanism to optimize merge operations while still making the data accessible from within Amazon Redshift.

Enterprise 85

Enterprise Data Warehouse Snapshot Cost-Benefit 85

IBM Big Data Hub

DECEMBER 18, 2023

Achieving consistently high performance requires an efficient routing system, optimizing traffic between the services your application depends on. The “shed load” filter steers traffic to compliant providers based on load-related metrics, helping manage contractual or cost limits automatically.

Optimization 70

Optimization Metadata Metrics Management 70

Ontotext

FEBRUARY 16, 2023

Ontotext’s approach is to optimize models and algorithms through human contribution and benchmarking in order to create better and more accurate AI. In text analytics, the human benchmark is a set of documents manually annotated by human experts. You’ll also be able to establish an inter-annotator agreement (IAA) metric.

Metadata 59

Metadata Measurement Metrics Modeling 59

Alation

SEPTEMBER 7, 2021

Governance influences how an organization’s objectives are set and achieved, how risk is monitored and addressed, and how performance is optimized. Stewards are able to apply policies and documentation in bulk to meet growing demands. But governance is a time-consuming process (for users and data stewards alike). In Summary.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

AWS Big Data

MAY 4, 2023

This has a few advantages: If a pod is optimally sized, the Kubernetes scheduler can efficiently pack in more pods in a single node, leading to better utilization of the underlying cluster. The Amazon EMR on EKS uplift is charged based on the vCPU and memory resources consumed by a Kubernetes pod.This means an optimally sized pod is cheaper.

Metrics 80

Metrics Dashboards Optimization Statistics 80

AWS Big Data

SEPTEMBER 7, 2023

The solution uses AWS Serverless Analytics services such as AWS Glue to optimize data layout by partitioning and formatting the server access logs to be consumed by other services. The AWS Glue Data Catalog is a metastore of the location, schema, and runtime metrics of your data. Ensure that you have access to Athena from your account.

Metadata 100

Metadata Dashboards Metrics Visualization 100

AWS Big Data

OCTOBER 2, 2023

The base construct to access streaming data in Amazon Redshift provides metadata from the source stream (attributes like stream timestamp, sequence numbers, refresh timestamp, and more) and the raw binary data from the stream itself. In the next section, we dive into the optimal approach for deserialization.

Cost-Benefit 87

Cost-Benefit Metadata Structured Data Management 87

AWS Big Data

MARCH 11, 2024

Create a user-facing table in the Redshift cluster and use dot notation to unnest the JSON document from the streaming materialized view into data columns of the table. Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ).

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

AWS Big Data

AUGUST 23, 2023

OpenSearch Serverless optimizes resource use depending on the type you set. The vector engine uses approximate nearest neighbor (ANN) algorithms from the Non-Metric Space Library (NMSLIB) and FAISS libraries to power k-NN search. SS4O complies with the OTEL schema for logs, traces, and metrics.

Snapshot 95

Snapshot Dashboards Visualization Metrics 95

AWS Big Data

JUNE 6, 2023

In the first post of the series, we described some core concepts of Apache Kafka cluster sizing, the best practices for optimizing the performance, and the cost of your Kafka workload. KIP-405 proposes a pluggable architecture allowing you to plugin custom remote storage and metadata storage backends.

Metadata 77

Metadata Optimization Management Metrics 77

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 114

Data Lake Metadata Optimization Statistics 114

Cloudera

AUGUST 16, 2021

Instead, there should be a cloud service that allows NiFi users to easily deploy their existing data flows to a scalable runtime with a central monitoring dashboard providing the most relevant metrics for each data flow. This will create a JSON file containing the flow metadata. Use KPIs to track important data flow metrics.

Dashboards 122

Dashboards Metrics KPI Data-driven 122

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security.

Data-driven 86

Data-driven Advertising Metadata Data Architecture 86

Alation

MARCH 21, 2023

Some companies struggle to optimize their data’s value and leverage analytics effectively. Below are a few examples: Revenue management and optimization Big data analysis enables companies to make data-driven decisions about pricing based on historical transactional data. What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

JANUARY 25, 2023

Both options give you full control over the configuration of compute, memory, and storage resources in clusters, which allows you to optimize cost and performance for their applications. The refresh interval (the time from when a document is ingested by OpenSearch Serverless to when it is available to search) is currently under 15 seconds.

Management 110

Management Dashboards Metadata Modeling 110

AWS Big Data

JULY 25, 2023

In the event of data loss, Alcion customers need to search metadata for the backed-up items (files, emails, contacts, events, and so on) to select specific item versions for restore. This allowed Alcion to focus on optimizing the tenancy model for the new search architecture.

Cost-Benefit 74

Cost-Benefit Modeling Management Optimization 74

Grooper

OCTOBER 23, 2019

And sometimes with an almost fiendish desire for optimization. For example, business growth, profits, cost and performance optimization, efficiency, compliance, and risk management. What metrics and goals do you have for information management? Intended business outcome is directly tied to information management related metrics.

Metrics 59

Metrics Measurement Strategy Optimization 59

AWS Big Data

JUNE 19, 2023

Understanding the event data found in Security Lake Security Lake stores the normalized OCSF security events in Apache Parquet format —an optimized columnar data storage format with efficient data compression and enhanced performance to handle complex data in bulk. Steps 1–2 are managed by Security Lake; steps 3–5 are managed by the customer.

Publishing 86

Publishing Dashboards Visualization Management 86

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Think of it like something that houses the metrics used to power daily, weekly, or monthly business KPIs. roll-ups of many rows of data). Sort & Dist Keys.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

AWS Big Data

NOVEMBER 29, 2023

dbt lets data engineers quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, continuous integration and continuous delivery (CI/CD), and documentation. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 104

Data Lake Management Metrics Data Warehouse 104

Andrew White

JANUARY 9, 2022

I would have to admit that there are few documents that talk about all the connections across any set of topics. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. So, I hear you say, let’s share metadata and make the data self-describing. – Yes and no.

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). The following considerations relate to screening, data product analysis, and optimal portfolio selection.

Management 80

Management Risk Measurement Optimization 80

Alation

JUNE 30, 2022

The data warehouse, once considered that source of truth, now shares the stage with data from files, streams, wikis, data dictionaries, metadata management tools , raw web content, emails, chats, and many other forms of data communication. Data curation is a technique that helps document whether the data is the right data to be using.

Metadata 52

Metadata Data Warehouse Data Quality Data-driven 52

Alation

NOVEMBER 22, 2022

Quantifying effectiveness with metrics. Citizens, companies, and government employees need access to data and documents. This means you need to: Inventory data: Know all information resources and relevant metadata. Curate data and knowledge: Use active metadata management and data catalogs to organize and manage registers.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

O'Reilly on Data

NOVEMBER 7, 2019

YouTube’s and Facebook’s algorithms for optimizing “engagement” can make any content viral in seconds. In addition to direct fake detection, it should be possible to use metadata to help detect and limit the spread of fakes. Once you’ve created a fake, you can use social media to propagate it. That all adds up to a scary picture.

Advertising 150

Advertising Metadata Technology Software 150

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Domino Data Lab

SEPTEMBER 9, 2019

Next, let’s run a small “document” through the natural language parser: In [2]: text = "The rain in Spain falls mainly on the plain."? First we created a doc from the text, which is a container for a document and all of its annotations. Then we iterated through the document to see what spaCy had parsed.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110