AWS Big Data

JULY 3, 2023

This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. With scalable metadata indexing, Apache Iceberg is able to deliver performant queries to a variety of engines such as Spark and Athena by reducing planning time.

Snapshot 105

Snapshot Data Lake Testing Strategy 105

AWS Big Data

JULY 28, 2023

It requires careful analysis to identify data dependencies and mitigate any potential risks or disruptions. Tagging Consider tagging your Amazon Redshift resources to quickly identify which clusters and snapshots contain the PII data, the owners, the data retention policy, and so on. Tags provide metadata about resources at a glance.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

AWS Big Data

MARCH 27, 2023

Tags allows you to assign metadata to your AWS resources. For Filter by resource type , you can filter by Workgroup , Namespace , Snapshot , and Recovery Point. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources.

Data Warehouse 98

Data Warehouse Management Snapshot Data Lake 98

AWS Big Data

AUGUST 6, 2024

At a high level, the core of Langley’s architecture is based on a set of Amazon Simple Queue Service (Amazon SQS) queues and AWS Lambda functions, and a dedicated RDS database to store ETL job data and metadata. Amazon MWAA offers one-click updates of the infrastructure for minor versions, like moving from Airflow version x.4.z

Cost-Benefit 111

Cost-Benefit Metadata Snapshot Metrics 111

AWS Big Data

MAY 10, 2023

However, it’s also possible for multiple shard copies across both active zones to be unavailable in cases of two node failures or one zone plus one node failure (often referred to as double faults ), which poses a risk to availability. No one size fits all workloads, therefore we use Auto-Tune to control them more granularly.

Snapshot 119

Snapshot Testing Metadata Management 119

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. Expiring old snapshots – This operation provides a way to remove outdated snapshots and their associated data files, enabling Orca to maintain low storage costs.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Cloudera

OCTOBER 11, 2022

Risk increases. As Julian and Bret say above, a scaled AI solution needs to be fed new data as a pipeline, not just a snapshot of data and we have to figure out a way to get the right data collected and implemented in a way that is not so onerous. Let this sink in a while – AI at scale isn’t magic, it’s data. Innovation stalls.

Data Science 94

Data Science Snapshot Data Warehouse Metadata 94

IBM Big Data Hub

JUNE 7, 2023

Mitigating risk with a holistic view Building resiliency for data against threats from bad actors, insiders or unsuspecting users is a team sport. It takes collective intelligence and collaboration—usually between teams fostered by alignment, standards and a shared understanding.

Snapshot 77

Snapshot Metadata Enterprise Testing 77

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Privacy, Risk and Compliance. Again, metadata is key. Data Intelligence and Metadata. Cloud Transformation.

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

APRIL 3, 2024

As data is refreshed and updated, changes can happen through upstream processes that put it at risk of not maintaining the intended quality. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 118

Data Quality Visualization Metadata Metrics 118

Alation

JULY 28, 2022

The cloud is no longer synonymous with risk. There are tools to replicate and snapshot data, plus tools to scale and improve performance.” I am not interested in owning that risk internally.” What Are the Biggest Business Risks to Cloud Data Migration? Yet the cloud, according to Sacolick, doesn’t come cheap. “A

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

Cloudera

MAY 24, 2021

Each mechanism has common aspects of work, risk mitigation, and successful outcomes expected across all paths from legacy distributions into CDP. Second, configure a replication process to provide periodic and consistent snapshots of data, metadata, and accompanying governance policies.

Metadata 83

Metadata Testing Snapshot Strategy 83

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. This leads to wasted time and effort during research and collaboration or, worse, compliance risk.

Data Science 41

Data Science Snapshot Machine Learning Data Warehouse 41

AWS Big Data

JUNE 12, 2023

With the ability to monitor and respond to real-time events, organizations are better equipped to capitalize on opportunities and mitigate risks as they arise. After the processed data is stored in Amazon S3, we create an AWS Glue crawler to create a Data Catalog table that acts as a metadata layer for the data.

Management 98

Management Metadata Internet of Things Testing 98

CIO Business Intelligence

MARCH 5, 2025

EU AI Act Aligns with global efforts on transparency, accountability, and risk categorization, similar to NIST RMF and Canadas Bill C-27. Canadas Bill C-27 Aligns with EU AI Act in regulating high-risk AI systems and enforcing accountability measures. It also shares a human rights-based approach seen in OECDs guidelines.

Risk 121

Risk Risk Management Measurement Modeling 121

AWS Big Data

DECEMBER 20, 2024

Solution overview The basic concept of the modernization project is to create metadata-driven frameworks, which are reusable, scalable, and able to respond to the different phases of the modernization process. These phases are: data orchestration, data migration, data ingestion, data processing, and data maintenance.

Metadata 119

Metadata Data-driven Snapshot Data Lake 119

AWS Big Data

APRIL 28, 2025

The data is stored in Apache Parquet format with AWS Glue Catalog providing metadata management. In-place migration How it works : Converts an existing dataset into an Iceberg table without duplicating data by creating Iceberg metadata on top of the existing files while preserving their layout and format.

Data Lake 66

Data Lake Metadata Cost-Benefit Snapshot 66

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. However, there are potential risks and challenges in adopting Data Observability.

Data Quality 130

Data Quality Testing Snapshot Reporting 130