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 136

Data Lake Data Processing Metadata Snapshot 136

AWS Big Data

DECEMBER 4, 2024

Branching Branches are independent lineage of snapshot history that point to the head of each lineage. An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction. Iceberg implements features such as table versioning and concurrency control through the lineage of these snapshots.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

NOVEMBER 26, 2024

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. XTable isn’t a new table format but provides abstractions and tools to translate the metadata associated with existing formats.

Metadata 105

Metadata Data Lake Snapshot Cost-Benefit 105

Smart Data Collective

JULY 27, 2021

Metazoa is the company behind the Salesforce ecosystem’s top software toolset for org management, Metazoa Snapshot. Created in 2006, Snapshot was the first CRM management solution designed specifically for Salesforce and was one of the first Apps to be offered on the Salesforce AppExchange. Unused assets.

Big Data 136

Big Data Snapshot IT Dashboards 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

JUNE 10, 2024

When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata. Only data that is written to the table after the evolution is partitioned with the new definition, and the metadata for this new set of data is kept separately. Old metadata files are kept for history by default.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Cloudera

FEBRUARY 22, 2022

In Iceberg, instead of listing O(n) partitions (directory listing at runtime) in a table for query planning, Iceberg performs an O(1) RPC to read the snapshot. It includes a catalog that supports atomic changes to snapshots – this is required to ensure that we know changes to an Iceberg table either succeeded or failed.

Snapshot 114

Snapshot Metadata Cost-Benefit Data Architecture 114

AWS Big Data

OCTOBER 3, 2023

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. 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

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. By reducing the number of files, metadata analysis and integrity phases are reduced, speeding up the migration phase.

Metadata 52

Metadata Data-driven Snapshot Data Lake 52

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

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 115

Data mining Metadata Big Data ROI 115

Cloudera

MARCH 2, 2023

SQL Stream Builder integration Hive Metastore To use the Hive Metastore with Iceberg in SSB, the first step is to register a Hive catalog, which we can do using the UI: In the Project Explorer open the Data Sources folder and right-click on Catalog , which will bring up the context menu.

Snapshot 119

Snapshot Data Processing Metadata Management 119

Cloudera

FEBRUARY 8, 2024

The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows. Furthermore, it is partitioned on the d_year column.

Snapshot 96

Snapshot Metadata Cost-Benefit Data Warehouse 96

AWS Big Data

DECEMBER 9, 2024

The metadata of an Iceberg table stores a history of snapshots. These snapshots, created for each change to the table, are fundamental to concurrent access control and table versioning. Branches are independent histories of snapshots branched from another branch, and each branch can be referred to and updated separately.

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. After February 17, 2025, all Governed Table APIs will start to fail.

Snapshot 122

Snapshot Metadata Big Data Analytics 122

AWS Big Data

MAY 24, 2023

RIO is really great",date("2023-04-06"),2023)""") You can check the new snapshot is created after this append operation by querying the Iceberg snapshot: spark.sql("""SELECT * FROM dev.db.amazon_reviews_iceberg.snapshots""").show() In that case, we have to query the table with the snapshot-id corresponding to the deleted row.

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

AWS Big Data

NOVEMBER 22, 2023

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. AWS Glue crawlers updates the latest metadata file location in the AWS Glue Data Catalog that AWS analytical engines can directly use.

Data Lake 115

Data Lake Snapshot Metadata Optimization 115

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. Similarly, the orphan file deletion process scans the table metadata and the actual data files, identifies the unreferenced files, and deletes them to reclaim storage space.

Optimization 111

Optimization Snapshot Metadata Software 111

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

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. Lake Formation permissions In Lake Formation, there are two types of permissions: metadata access and data access. Metadata access permissions allow users to create, read, update, and delete metadata databases and tables in the Data Catalog.

Data Architecture 90

Data Architecture Metadata Data Lake Snapshot 90

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. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

Management 130

Management Metadata Analytics Dashboards 130

Cloudera

OCTOBER 10, 2024

Table Cleanup: As tables grow, they often accumulate unused data files, manifest files, and snapshots that aren’t needed anymore. Users may want to perform table maintenance functions, like expiring snapshots, removing old metadata files, and deleting orphan files, to optimize storage utilization and improve performance.

Optimization 90

Optimization Snapshot Data Lake Cost-Benefit 90

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. ID, TBL_ICEBERG_PART_2.NAME,

Data Warehouse 87

Data Warehouse Snapshot Metadata Cost-Benefit 87

AWS Big Data

JUNE 9, 2023

Iceberg doesn’t optimize file sizes or run automatic table services (for example, compaction or clustering) when writing, so streaming ingestion will create many small data and metadata files. Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query).

Data Lake 130

Data Lake Metadata Statistics Optimization 130

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 144

Optimization Metadata Statistics Cost-Benefit 144

AWS Big Data

JULY 3, 2023

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. To avoid look-ahead bias in backtesting, it’s essential to create snapshots of the data at different points in time. Tag this data to preserve a snapshot of it.

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. Ready for your next audit? Cube to the rescue.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

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

JULY 13, 2022

The service provides simple, easy-to-use, and feature-rich data movement capability to deliver data and metadata where it is needed, and has secure data backup and disaster recovery functionality. In this method, you prepare the data for migration, and then set up the replication plugin to use a snapshot to migrate your data.

Snapshot 97

Snapshot Management Cost-Benefit Metadata 97

Sisense

JANUARY 6, 2020

Daily snapshot of opportunities that’s derived from a table of opportunities’ histories. This is built out of the daily snapshot of opportunities and describes the end state of a pipeline set to close in a given month. It takes the daily snapshot and turns it into a pipeline movement chart. Calculate opportunity metadata 5.

Sales 91

Sales Forecasting Snapshot Management 91

Cloudera

JULY 13, 2023

A range of Iceberg table analysis such as listing table’s data file, selecting table snapshot, partition filtering, and predicate filtering can be delegated through Iceberg Java API instead, obviating the need for each query engine to implement it themself. The data files and metadata files in Iceberg format are immutable.

Metadata 75

Metadata Snapshot Data Warehouse Statistics 75

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

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. Snapshot management By default, OpenSearch Service takes hourly snapshots of your data with a retention time of 14 days. in OpenSearch Service).

Snapshot 98

Snapshot Dashboards Visualization Metrics 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

Cloudera

FEBRUARY 14, 2024

Problem with too many snapshots Everytime a write operation occurs on an Iceberg table, a new snapshot is created. A bloated metadata.json file could increase both read/write times because a large metadata file needs to be read/written every time. You could also change the isolation level to snapshot isolation.

Optimization 59

Optimization Strategy Snapshot Metadata 59

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. . Iceberg tables supported on CDP, automatically inherit the centralized and persistent Shared Data Experience (SDX) services—security, metadata, and auditing—from your CDP environment. .

Metadata 85

Metadata Data Warehouse Snapshot Machine Learning 85