AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes.

Data Quality 93

Data Quality Visualization Metadata Metrics 93

Cloudera

JUNE 2, 2021

It can manage billions of small and large files that are difficult to handle by other distributed file systems. As an important part of achieving better scalability, Ozone separates the metadata management among different services: . Apache Ozone heavily uses Apache Ratis for metadata and data replication.

Metadata 95

Metadata Snapshot Testing Management 95

Cloudera

MAY 22, 2018

With Experiments, data scientists can run a batch job that will: create a snapshot of model code, dependencies, and configuration parameters necessary to train the model. save the built model container, along with metadata like who built or deployed it. let the user document, test, and share the model. or higher 5.x x versions.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams.

Management 109

Management Metadata Analytics Dashboards 109

AWS Big Data

JULY 3, 2023

Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to minimize index tracking error. 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 87

Snapshot Data Lake Testing Strategy 87

Cloudera

FEBRUARY 22, 2022

Along with CDP’s enterprise features such as Shared Data Experience ( SDX ), unified management and deployment across hybrid cloud and multi-cloud, customers can benefit from Cloudera’s contribution to Apache Iceberg, the next generation table format for large scale analytic datasets. . Multi-function analytics . What’s Next.

Snapshot 105

Snapshot Metadata Cost-Benefit Data Architecture 105

AWS Big Data

SEPTEMBER 13, 2023

Finally, by testing the framework, we summarize how it meets the aforementioned requirements. Operational data processing framework The operational data processing (ODP) framework contains three components: File Manager, File Processor, and Configuration Manager.

Data Lake 94

Data Lake Data Processing Metadata Snapshot 94

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. Instead, Iceberg is intended for managing large, infrequently changing datasets.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

AWS Big Data

MAY 24, 2023

To learn more about how to create an EMR cluster with Iceberg and use Amazon EMR Studio, refer to Use an Iceberg cluster with Spark and the Amazon EMR Studio Management Guide , respectively. Update your-iceberg-storage-blog in the following configuration with the bucket that you created to test this example.

Data Lake 86

Data Lake Snapshot Metadata Optimization 86

AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

FEBRUARY 13, 2023

This is a guest post by Miguel Chin, Data Engineering Manager at OLX Group and David Greenshtein, Specialist Solutions Architect for Analytics, AWS. Before migrating to RA3, we were using a 16 DC2.8xlarge nodes cluster with a highly tuned workload management (WLM), and performance wasn’t an issue at all.

Snapshot 68

Snapshot Data Warehouse Testing Analytics 68

Cloudera

DECEMBER 15, 2022

Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Maintaining performance and manageability with improved table maintenance . Metadata management . Amazingly fast table migration. Data quality using table rollback.

Metadata 76

Metadata Data Warehouse Snapshot Data Quality 76

AWS Big Data

MAY 10, 2023

Amazon OpenSearch Service recently announced Multi-AZ with Standby , a new deployment option for managed clusters that enables 99.99% availability and consistent performance for business-critical workloads. Designing for high availability OpenSearch Service manages tens of thousands of OpenSearch clusters.

Snapshot 97

Snapshot Testing Metadata Management 97

AWS Big Data

JUNE 9, 2023

Across all use cases, permissions, data governance, and data protection are table stakes, and customers require a high level of control over data security, encryption, and lifecycle management. It is crucial that you perform testing to ensure that a table format meets your specific use case requirements.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

AWS Big Data

JUNE 12, 2023

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed Apache Kafka service that offers a seamless way to ingest and process streaming data. The AWS Glue Schema Registry addresses this complexity by providing a centralized platform for discovering, managing, and evolving schemas from diverse streaming data sources.

Management 81

Management Metadata Testing Internet of Things 81

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. On the Code tab, choose Test , then Configure test event. Configure a test event with the default hello-world template event JSON.

Data Lake 73

Data Lake Metadata Testing Snapshot 73

IBM Big Data Hub

JUNE 7, 2023

A management platform like IBM Storage Defender with a single pane of glass optimized for personas based on their specific roles (e.g., For example, a client could air-gap copies of the most sensitive data, hold it off-premises and periodically test for recoverability.

Snapshot 82

Snapshot Metadata Enterprise Testing 82

Cloudera

NOVEMBER 13, 2020

Metadata Caching. This is used to provide very low latency access to table metadata and file locations in order to avoid making expensive remote RPCs to services like the Hive Metastore (HMS) or the HDFS Name Node, which can be busy with JVM garbage collection or handling requests for other high latency batch workloads.

Optimization 142

Optimization Metadata Statistics Cost-Benefit 142

Cloudera

MAY 24, 2021

These include workload reviews, testing and validation, managing service-level agreements (SLAs), and minimizing workload unavailability during the move. . Second, configure a replication process to provide periodic and consistent snapshots of data, metadata, and accompanying governance policies. But, Spark 1.6

Metadata 80

Metadata Testing Snapshot Strategy 80

AWS Big Data

NOVEMBER 29, 2023

In 2022, AWS published a dbt adapter called dbt-glue —the open source, battle-tested dbt AWS Glue adapter that allows data engineers to use dbt for cloud-based data lakes along with data warehouses and databases, paying for just the compute they need. 05:34:22 Connection test: [OK connection ok] 05:34:22 All checks passed!

Data Lake 107

Data Lake Management Metrics Data Warehouse 107

DataKitchen

AUGUST 8, 2023

She sees Data Observability as an emerging technology in data engineering and management. 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. Are problems with data tests? When did it last run?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. 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.

Testing 130

Testing Data Governance Data Quality Data-driven 130

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. Again, metadata is key. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64