AWS Big Data

APRIL 17, 2024

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. So how do snapshots work when we already have the data present on Amazon S3?

Optimization 128

Optimization Snapshot Metadata Cost-Benefit 128

Smart Data Collective

AUGUST 25, 2020

Web developers utilized data to some capacity as well, but marketers rarely considered doing so. Big data has become critical to the evolution of digital marketing. Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata.

Data mining 118

Data mining Metadata Big Data ROI 118

AWS Big Data

NOVEMBER 26, 2024

Eventually, transactional data lakes emerged to add transactional consistency and performance of a data warehouse to the data lake. Central to a transactional data lake are open table formats (OTFs) such as Apache Hudi , Apache Iceberg , and Delta Lake , which act as a metadata layer over columnar formats.

Metadata 105

Metadata Data Lake Snapshot Cost-Benefit 105

AWS Big Data

JUNE 10, 2024

Apache Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for processing engines such as Apache Spark, Trino, Apache Flink, Presto, Apache Hive, and Impala to safely work with the same tables at the same time. This concept makes Iceberg extremely versatile. SparkActions.get().expireSnapshots(iceTable).expireOlderThan(TimeUnit.DAYS.toMillis(7)).execute()

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

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. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 136

Data Lake Data Processing Metadata Snapshot 136

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. It will never remove files that are still required by a non-expired snapshot.

Snapshot 126

Snapshot Data Lake Metadata Optimization 126

AWS Big Data

DECEMBER 9, 2024

Icebergs branching feature Iceberg offers a branching feature for data lifecycle management, which is particularly useful for efficiently implementing the WAP pattern. The metadata of an Iceberg table stores a history of snapshots. He is particularly passionate about big data technologies and open source software.

Data Quality 124

Data Quality Publishing Snapshot Data Lake 124

AWS Big Data

OCTOBER 2, 2024

Governed Tables metadata will continue to exist within the AWS Glue Data Catalog, and the Governed Tables data will remain in your S3 buckets. About the author Mert Hocanin is a Principal Big Data Architect with AWS Lake Formation. After February 17, 2025, all Governed Table APIs will start to fail.

Snapshot 122

Snapshot Metadata Big Data Analytics 122

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Snapshot 114

Snapshot Metadata Cost-Benefit Data Architecture 114

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 126

Optimization Snapshot Data Lake Metadata 126

AWS Big Data

OCTOBER 3, 2023

In-place data upgrade In an in-place data migration strategy, existing datasets are upgraded to Apache Iceberg format without first reprocessing or restating existing data. In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.

Data Lake 122

Data Lake Metadata Snapshot Recreation/Entertainment 122

AWS Big Data

NOVEMBER 22, 2023

Many AWS customers adopted Apache Hudi on their data lakes built on top of Amazon S3 using AWS Glue , a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. He works based in Tokyo, Japan.

Data Lake 115

Data Lake Snapshot Metadata Optimization 115

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 52

Metadata Data-driven Snapshot Data Lake 52

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata.

Snapshot 96

Snapshot Metadata Cost-Benefit Data Warehouse 96

AWS Big Data

MAY 24, 2023

Some of the important non-functional use cases for an S3 data lake that organizations are focusing on include storage cost optimizations, capabilities for disaster recovery and business continuity, cross-account and multi-Region access to the data lake, and handling increased Amazon S3 request rates.

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

AWS Big Data

NOVEMBER 21, 2024

The AWS Glue Data Catalog supports automatic table optimization of Apache Iceberg tables, including compaction , snapshots, and orphan data management. The data compaction optimizer constantly monitors table partitions and kicks off the compaction process when the threshold is exceeded for the number of files and file sizes.

Optimization 111

Optimization Snapshot Metadata Software 111

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 130

Data Lake Metadata Statistics Optimization 130

AWS Big Data

JUNE 5, 2023

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. Amazon MWAA manages the entire upgrade process, from provisioning new Apache Airflow versions to upgrading the metadata database.

Snapshot 97

Snapshot Metadata Testing Data-driven 97

AWS Big Data

OCTOBER 11, 2023

Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors. Also, a data model that allows table truncations at a regular frequency (for example, every 15 seconds) to store only relevant data in tables can cause locking and performance issues.

Management 130

Management Metadata Analytics Dashboards 130

AWS Big Data

JUNE 27, 2024

With built-in features such as automated snapshots and cross-Region replication, you can enhance your disaster resilience with Amazon Redshift. To develop your disaster recovery plan, you should complete the following tasks: Define your recovery objectives for downtime and data loss (RTO and RPO) for data and metadata.

Snapshot 92

Snapshot Data Warehouse Data Processing Strategy 92

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

Data Architecture 90

Data Architecture Metadata Data Lake Snapshot 90

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

JULY 3, 2023

It provides features such as ACID transactions on top of Amazon S3-based data lakes, schema evolution, partition evolution, and data versioning. 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

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. Redshift resources, such as namespaces, workgroups, snapshots, and clusters can be tagged.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

Cloudera

DECEMBER 3, 2024

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments.

Metadata 89

Metadata Data Warehouse ROI Snapshot 89

AWS Big Data

NOVEMBER 16, 2023

Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs. Automated backup Amazon Redshift automatically takes incremental snapshots that track changes to the data warehouse since the previous automated snapshot. Automatic WLM manages the resources required to run queries.

Enterprise 110

Enterprise Data Warehouse Snapshot Cost-Benefit 110

AWS Big Data

JANUARY 8, 2024

Stream Processing – An application created with Amazon Managed Service for Apache Flink can read the records from the data stream to detect and clean any errors in the time series data and enrich the data with specific metadata to optimize operational analytics. Lambda is good for event-based and stateless processing.

Analytics 134

Analytics IoT Data-driven Snapshot 134

AWS Big Data

AUGUST 23, 2023

SS4O is inspired by both OpenTelemetry and the Elastic Common Schema (ECS) and uses Amazon Elastic Container Service ( Amazon ECS ) event logs and OpenTelemetry (OTel) metadata. in OpenSearch Service has brought new features to manage data streams and indexes on the OpenSearch Dashboards UI. in OpenSearch Service). and OpenSearch 2.7

Snapshot 98

Snapshot Dashboards Visualization Metrics 98

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Iceberg captures metadata information on the state of datasets as they evolve and change over time. Choose Create.

Data Lake 97

Data Lake Metadata Snapshot Management 97

AWS Big Data

DECEMBER 9, 2024

With change log view, we can easily track insertions, updates, and deletions, giving us a complete picture of how our data has evolved. For our heater example, Icebergs change log view would allow us to effortlessly retrieve a timeline of all price changes, complete with timestamps and other relevant metadata, as shown in the following table.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

DECEMBER 4, 2024

The following are the key components and steps in the integration process: Zero-ETL extracts and loads the data into Amazon S3 , a highly scalable object storage service. The data is also registered in the Glue Data Catalog , a metadata repository. Big Data and ETL Solutions Architect, Amazon MWAA and AWS Glue ETL expert.

Data Integration 113

Data Integration Data Lake Statistics Data-driven 113

AWS Big Data

MARCH 27, 2023

Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) models with Redshift Serverless.

Data Warehouse 98

Data Warehouse Management Snapshot Data Lake 98

AWS Big Data

NOVEMBER 6, 2024

For example, you can write some records using a batch ETL Spark job and other data from a Flink application at the same time and into the same table. Third, it allows scenarios such as time travel and rollback, so you can run SQL queries on a point-in-time snapshot of your data, or rollback data to a previously known good version.

Metadata 115

Metadata Data Lake Management Internet of Things 115

AWS Big Data

SEPTEMBER 13, 2023

The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker. We use the following terminology when discussing File Processor: Refresh cadence – This represents the data ingestion frequency (for example, 10 minutes).

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

AWS Big Data

MAY 10, 2023

The cluster manager performs critical coordination tasks like metadata management and cluster formation, and orchestrates a few background operations like snapshot and shard placement. We concluded that allowing writes in this state should still be safe as long as it doesn’t need to update the cluster metadata.

Snapshot 118

Snapshot Testing Metadata Management 118

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data.

Snapshot 75

Snapshot Data Warehouse Metadata Testing 75