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. What is technical debt anyway?

Big Data 137

Big Data Snapshot IT Dashboards 137

CIO Business Intelligence

NOVEMBER 19, 2024

For AI to be effective, the relevant data must be easily discoverable and accessible, which requires powerful metadata management and data exploration tools. An enhanced metadata management engine helps customers understand all the data assets in their organization so that they can simplify model training and fine tuning.

Management 116

Management Unstructured Data Deep Learning Metadata 116

AWS Big Data

SEPTEMBER 12, 2024

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. Iceberg creates a new version called a snapshot for every change to the data in the table. Snapshots are timestamped versions of an iceberg table.

Optimization 115

Optimization Snapshot Metadata Metrics 115

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. To sustainably support high indexing volume and provide durability, we built the OR1 instance family.

Optimization 125

Optimization Snapshot Metadata Cost-Benefit 125

AWS Big Data

MARCH 4, 2024

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. With Lake Formation, you can manage fine-grained access control for your data lake data on Amazon S3 and its metadata in the Data Catalog. Iceberg maintains the table state in metadata files.

Snapshot 124

Snapshot Data Lake Metadata Recreation/Entertainment 124

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 128

Data Lake Data Processing Metadata Snapshot 128

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. The open table format accelerates companies’ adoption of a modern data strategy because it allows them to use various tools on top of a single copy of the data.

Data Lake 122

Data Lake Metadata Snapshot Analytics 122

AWS Big Data

DECEMBER 9, 2024

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. Anytime when you need SCD Type-2 snapshot of your Iceberg table, you can create the corresponding representation.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

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 110

Snapshot Metadata Cost-Benefit Data Architecture 110

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 106

Data Lake Snapshot Metadata Data Architecture 106

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 pre-populate the properties as shown in the following screenshot.

Snapshot 115

Snapshot Data Lake Metadata Optimization 115

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 116

Data Lake Metadata Snapshot Recreation/Entertainment 116

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 122

Optimization Snapshot Data Lake Metadata 122

Cloudera

MARCH 2, 2023

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables.

Snapshot 114

Snapshot Data Processing Metadata Data Processing 114

erwin

JULY 2, 2020

This matters because, as he said, “By placing the data and the metadata into a model, which is what the tool does, you gain the abilities for linkages between different objects in the model, linkages that you cannot get on paper or with Visio or PowerPoint.” They’re static snapshots of a diagram at some point in time.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

AWS Big Data

DECEMBER 4, 2024

The data is also registered in the Glue Data Catalog , a metadata repository. The database will be used to store the metadata related to the data integrations performed by zero-ETL. However, this task is complicated by the unique characteristics of modern systems, such as differing API protocols, implementations, and rate limits.

Data Integration 98

Data Integration Data Lake Statistics Data-driven 98

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() Expiration actions – These actions define when objects expire. availability. and below).

Data Lake 92

Data Lake Snapshot Metadata Optimization 92

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. Overview This blog post describes support for materialized views for the Iceberg table format.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

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 107

Data Lake Snapshot Metadata Optimization 107

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

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 118

Management Metadata Analytics Dashboards 118

AWS Big Data

JUNE 9, 2023

To help overcome these challenges, open table formats provide additional database-like functionality that simplifies the optimization and management overhead of data lakes, while still supporting storage on cost-effective systems like Amazon Simple Storage Service (Amazon S3). This post is not intended to provide detailed technical guidance (e.g.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

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

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 81

Snapshot Data Warehouse Data Processing Strategy 81

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 84

Snapshot Metadata Testing Data-driven 84

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. How many times has the amount changed?

Sales 91

Sales Forecasting Snapshot Management 91

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

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.

Snapshot 95

Snapshot Data Lake Testing Strategy 95

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 91

Snapshot Management Cost-Benefit Metadata 91

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 73

Data Architecture Metadata Data Lake Snapshot 73

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 91

Snapshot Metadata Measurement Data Warehouse 91

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. Since its release in January 2021, the OpenSearch project has released 14 versions through June 2023. Additional field types OpenSearch 2.7 in OpenSearch Service).

Snapshot 97

Snapshot Dashboards Visualization Metrics 97

O'Reilly on Data

MARCH 20, 2019

And at many companies, many different employees, consultants, and contractors have just that—and with little oversight. It’s also possible a malicious external actor could acquire unauthorized access to some or all of your training data and poison it. This is like a denial-of-service (DOS) attack on your model itself. Also record the incident.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Cloudera

AUGUST 26, 2021

Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . If created using the Filesystem interface, the intermediate prefixes ( application-1 & application-1/instance-1 ) are created as directories in the Ozone metadata store.

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

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 70

Metadata Snapshot Data Warehouse Statistics 70

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 97

Enterprise Data Warehouse Snapshot Cost-Benefit 97