AWS Big Data

SEPTEMBER 12, 2024

The AWS Glue Data Catalog now enhances managed table optimization of Apache Iceberg tables by automatically removing data files that are no longer needed. Along with the Glue Data Catalog’s automated compaction feature, these storage optimizations can help you reduce metadata overhead, control storage costs, and improve query performance.

Optimization 129

Optimization Snapshot Metadata Metrics 129

AWS Big Data

APRIL 17, 2024

Designing for high throughput with 11 9s of durability OpenSearch Service manages tens of thousands of OpenSearch clusters. The following diagram illustrates the recovery flow in OR1 instances OR1 instances persist not only the data, but the cluster metadata like index mappings, templates, and settings in Amazon S3.

Optimization 128

Optimization Snapshot Metadata Cost-Benefit 128

AWS Big Data

MARCH 4, 2024

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. Due to the security requirements of different organizations, they need to manage fine-grained access control for the analysts through Lake Formation.

Snapshot 132

Snapshot Data Lake Metadata Recreation/Entertainment 132

AWS Big Data

APRIL 3, 2024

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location.

Data Lake 127

Data Lake Snapshot Metadata Data Architecture 127

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 131

Management Metadata Analytics Dashboards 131

Smart Data Collective

JULY 27, 2021

Customer relationship management (CRM) platforms are very reliant on big data. Complex Salesforce orgs can work just fine if they are properly managed. Metazoa is the company behind the Salesforce ecosystem’s top software toolset for org management, Metazoa Snapshot. Tools like Metazoa Snapshot make it painless, however.

Big Data 137

Big Data Snapshot IT Dashboards 137

AWS Big Data

DECEMBER 4, 2024

Zero-ETL is a set of fully managed integrations by AWS that minimizes the need to build ETL data pipelines. We take care of the ETL for you by automating the creation and management of data replication. Zero-ETL provides service-managed replication. Glue ETL offers customer-managed data ingestion. What is zero-ETL?

Data Integration 115

Data Integration Data Lake Statistics Data-driven 115

Smart Data Collective

AUGUST 25, 2020

Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata. Metadata is important for numerous reasons. Search engines crawl metadata of image files, videos and other visual creative when they are indexing websites.

Data mining 137

Data mining Metadata Big Data ROI 137

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 137

Data Lake Data Processing Metadata Snapshot 137

AWS Big Data

JUNE 10, 2024

Cloudinary is a cloud-based media management platform that provides a comprehensive set of tools and services for managing, optimizing, and delivering images, videos, and other media assets on websites and mobile applications. By incorporating these operations Cloudinary were able to cost-effectively manage their Iceberg tables.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

DECEMBER 9, 2024

History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. When combined with Change Data Capture (CDC), which identifies and captures database changes, history management becomes even more potent. Lets explore this concept with a practical example.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

Snapshot 126

Snapshot Data Lake Metadata Optimization 126

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations.

Optimization 126

Optimization Snapshot Data Lake Metadata 126

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Tags allows you to assign metadata to your AWS resources. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources. Create cost reports.

Data Warehouse 98

Data Warehouse Management Snapshot Data Lake 98

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 .

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

Cloudera

JULY 13, 2022

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds.

Snapshot 91

Snapshot Management Cost-Benefit Metadata 91

AWS Big Data

OCTOBER 3, 2023

Apache Iceberg enables transactions on data lakes and can simplify data storage, management, ingestion, and processing. This means the data files in the data lake aren’t modified during the migration and all Apache Iceberg metadata files (manifests, manifest files, and table metadata files) are generated outside the purview of the data.

Data Lake 122

Data Lake Metadata Snapshot Recreation/Entertainment 122

Sisense

JANUARY 6, 2020

Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. This process helps sales managers manage and invest in their team and anticipate opportunities that lead to exceeding revenue goals. Sales data can get messy.

Sales 91

Sales Forecasting Snapshot Management 91

Cloudera

MARCH 2, 2023

To provide the CM host we can copy the FQDN of the node where Cloudera Manager is running. This information can be obtained from the Cloudera Management Console by first selecting the Data Hub cluster that has Hive installed and belongs to the same environment.

Snapshot 114

Snapshot Data Processing Metadata Data Processing 114

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance. AWS Glue Crawler is a component of AWS Glue, which allows you to create table metadata from data content automatically without requiring manual definition of the metadata.

Data Lake 116

Data Lake Snapshot Metadata Optimization 116

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. In that case, we have to query the table with the snapshot-id corresponding to the deleted row. parquet") df.sortWithinPartitions("review_date").writeTo("dev.db.amazon_reviews_iceberg").append()

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

AWS Big Data

JUNE 5, 2023

Today, AWS is announcing the availability of in-place version upgrades for Amazon Managed Workflow for Apache Airflow (Amazon MWAA). If you also needed to preserve the history of DAG runs, you had to take a backup of your metadata database and then restore that backup on the newly created environment.

Snapshot 98

Snapshot Metadata Testing Data-driven 98

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. The solution doesn’t create or modify AWS Identity and Access Management (IAM) roles, which are available in all Regions. Lake Formation permissions In Lake Formation, there are two types of permissions: metadata access and data access.

Data Architecture 94

Data Architecture Metadata Data Lake Snapshot 94

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.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

AWS Big Data

JUNE 27, 2024

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With built-in features such as automated snapshots and cross-Region replication, you can enhance your disaster resilience with Amazon Redshift. Using backups Backing up data is an important part of data management.

Snapshot 93

Snapshot Data Warehouse Data Processing Strategy 93

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 105

Snapshot Data Lake Testing Strategy 105

Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. It’s a snapshot of data at a specific point in time, at the end of a day, week, month or year. Complete data lineage on OLAP cube.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

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 143

Optimization Metadata Statistics Cost-Benefit 143

Cloudera

APRIL 3, 2023

Every table change creates an Iceberg snapshot, this helps to resolve concurrency issues and allows readers to scan a stable table state every time. The table metadata is stored next to the data files under a metadata directory, which allows multiple engines to use the same table simultaneously.

Data Warehouse 82

Data Warehouse Snapshot Metadata Cost-Benefit 82

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

AWS Big Data

AUGUST 23, 2023

With OpenSearch Service managed domains, you specify a hardware configuration and OpenSearch Service provisions the required hardware and takes care of software patching, failure recovery, backups, and monitoring. Your team should be familiar with sharding concepts and OpenSearch best practices to use the OpenSearch managed offering.

Snapshot 98

Snapshot Dashboards Visualization Metrics 98

AWS Big Data

AUGUST 6, 2024

These products are user-facing applications that solve specific business problems across different transportation domains: network topology management, capacity management, and network monitoring. As of this writing, GTTS serves around 10,000 customers globally on a monthly basis, managing the outbound transportation network.

Cost-Benefit 111

Cost-Benefit Snapshot Metadata Metrics 111

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 119

Snapshot Testing Metadata Management 119

AWS Big Data

JULY 20, 2023

A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

SEPTEMBER 13, 2023

Operational data processing framework The operational data processing (ODP) framework contains three components: File Manager, File Processor, and Configuration Manager. Component 1: File Manager File Manager detects files emitted by a CDC process such as AWS DMS and tracks them in an Amazon DynamoDB table.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

O'Reilly on Data

MARCH 20, 2019

Version control: Production model scoring code should be managed and version-controlled—just like any other mission-critical software asset. Along with model documentation, all modeling artifacts, source code, and associated metadata need to be managed, versioned, and audited for security like the valuable commercial assets they are.

Modeling 272

Modeling Machine Learning Predictive Modeling Consulting 272

AWS Big Data

AUGUST 16, 2023

Iceberg captures metadata information on the state of datasets as they evolve and change over time. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog. For more details, refer to Creating Apache Iceberg tables.

Data Lake 98

Data Lake Metadata Snapshot Management 98