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

JUNE 10, 2024

Data-driven decisions lead to more effective responses to unexpected events, increase innovation and allow organizations to create better experiences for their customers. Short overview of Cloudinary’s infrastructure Cloudinary infrastructure handles over 20 billion requests daily with every request generating event logs.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

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 126

Data Lake Snapshot Metadata Data Architecture 126

AWS Big Data

JANUARY 24, 2024

As data lakes have grown in size and matured in usage, a significant amount of effort can be spent keeping the data consistent with business events. 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

OCTOBER 11, 2023

This may require frequent truncation in certain tables to retain only the latest stream of events. Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors. Agent states are reported in agent-state events.

Management 131

Management Metadata Analytics Dashboards 131

AWS Big Data

JUNE 27, 2024

The objective of a disaster recovery plan is to reduce disruption by enabling quick recovery in the event of a disaster that leads to system failure. With built-in features such as automated snapshots and cross-Region replication, you can enhance your disaster resilience with Amazon Redshift.

Snapshot 93

Snapshot Data Warehouse Data Processing Strategy 93

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 93

Data Architecture Metadata Data Lake Snapshot 93

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 98

Snapshot Metadata Testing Data-driven 98

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

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. The streaming records are read in the order they are produced, allowing for real-time analytics, building event-driven applications or streaming ETL (extract, transform, and load).

Analytics 134

Analytics IoT Data-driven Snapshot 134

AWS Big Data

MAY 10, 2023

Additionally, shard redistribution during failure events causes increased resource utilization, leading to increased latencies and overloaded nodes, further impacting availability and effectively defeating the purpose of fault-tolerant, multi-AZ clusters. This event is referred to as a zonal failover.

Snapshot 119

Snapshot Metadata Testing Management 119

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. Before that, you needed to navigate to the Observability plugin to create event analytics visualizations using Piped Processing Language (PPL).

Snapshot 98

Snapshot Dashboards Visualization Metrics 98

AWS Big Data

JUNE 9, 2023

A typical example of this is time series data (for example sensor readings), where each event is added as a new record to the dataset. 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.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

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

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

SEPTEMBER 13, 2023

The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure. As shown in the following diagram, it consists of an Amazon EventBridge event rule, an Amazon Simple Queue Service (Amazon SQS) queue, an AWS Lambda function, and a DynamoDB table.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

AWS Big Data

NOVEMBER 16, 2023

When a usage limit threshold is reached, events are also logged to a system table. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs. Automated snapshots retain all of the data required to restore a data warehouse from a snapshot.

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

Cloudera

JULY 14, 2023

In all the use cases we are trying to migrate a table named “events.” They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data. You could first create a snapshot table, run sanity checks on the snapshot table, and ensure that everything is in order.

Snapshot 70

Snapshot Data Warehouse Metadata Optimization 70

AWS Big Data

MARCH 25, 2024

For example, in a chatbot, data events could pertain to an inventory of flights and hotels or price changes that are constantly ingested to a streaming storage engine. Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

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

Cloudera

SEPTEMBER 1, 2020

See the snapshot below. HDFS also provides snapshotting, inter-cluster replication, and disaster recovery. . Coordinates distribution of data and metadata, also known as shards. It is also possible to use CDP Data Hub Data Flow for real-time events or log data coming in that you want to make searchable via Solr.

Snapshot 71

Snapshot Unstructured Data Dashboards Interactive 71

AWS Big Data

NOVEMBER 6, 2023

You can see the time each task spends idling while waiting for the Redshift cluster to be created, snapshotted, and paused. The trigger runs in a parent process called a triggerer , a service that runs an asyncio event loop. With the introduction of deferrable operators in Apache Airflow 2.2,

Metrics 122

Metrics Metadata Snapshot Management 122

Cloudera

MARCH 15, 2023

Introduction Many modern application designs are event-driven. An event-driven architecture enables minimal coupling, which makes it an optimal choice for modern, large-scale distributed systems. Send an event to notify other services about the new order. These services might be responsible for checking the inventory (eg.

Data-driven 91

Data-driven Snapshot Publishing Metadata 91

AWS Big Data

AUGUST 6, 2024

At a high level, the core of Langley’s architecture is based on a set of Amazon Simple Queue Service (Amazon SQS) queues and AWS Lambda functions, and a dedicated RDS database to store ETL job data and metadata. Amazon MWAA offers one-click updates of the infrastructure for minor versions, like moving from Airflow version x.4.z

Cost-Benefit 111

Cost-Benefit Metadata Snapshot Metrics 111

IBM Big Data Hub

JUNE 7, 2023

IBM Storage Defender is designed to be able to leverage sensors—like real-time threat detection built into IBM Storage FlashSystem —across primary and secondary workloads to detect threats and anomalies from backup metadata, array snapshots and other relevant threat indicators.

Snapshot 77

Snapshot Metadata Enterprise Testing 77

AWS Big Data

JANUARY 27, 2023

The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. Apache Flink is a widely used data processing engine for scalable streaming ETL, analytics, and event-driven applications. For metadata read/write, Flink has the catalog interface.

Data Lake 88

Data Lake Metadata Business Analysis Data-driven 88

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. Lambda as AWS Glue ETL Trigger We enabled S3 event notifications on the S3 bucket to trigger Lambda, which further partitions our data.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

JUNE 12, 2023

By harnessing the power of streaming data, organizations are able to stay ahead of real-time events and make quick, informed decisions. With the ability to monitor and respond to real-time events, organizations are better equipped to capitalize on opportunities and mitigate risks as they arise.

Management 98

Management Metadata Internet of Things Testing 98

Cloudera

MAY 24, 2021

Second, configure a replication process to provide periodic and consistent snapshots of data, metadata, and accompanying governance policies. Single, well-contained tenants can move one at a time without requiring a single coordinated event across all tenants. The side-car migration breaks down into three major phases.

Metadata 83

Metadata Testing Snapshot Strategy 83

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

AWS Big Data

JANUARY 17, 2024

The key idea behind incremental queries is to use metadata or change tracking mechanisms to identify the new or modified data since the last query. The following are some highlighted steps: Run a snapshot query. %%sql We are actively working on incorporating support for both actions in future Amazon EMR releases with FGAC enabled.

Data Lake 116

Data Lake Snapshot Big Data Data-driven 116

Wayne Yaddow

MARCH 14, 2025

Snapshot testing augments debugging capabilities by recording past table states, facilitating the identification of unforeseen spikes, declines, or abnormalities before their effect on production systems. Workaround: Implement custom metadata tracking scripts or use dbt Clouds freshness monitoring.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

AWS Big Data

AUGUST 16, 2023

On the Code tab, choose Test , then Configure test event. Configure a test event with the default hello-world template event JSON. Provide an event name without any changes to the template and save the test event. Provide an event name without any changes to the template and save the test event.

Data Lake 97

Data Lake Metadata Testing Snapshot 97

AWS Big Data

NOVEMBER 6, 2024

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. For the Firehose stream name , enter firehose-iceberg-events-1. For the Firehose stream name , enter firehose-iceberg-events-2.

Metadata 116

Metadata Data Lake Management Internet of Things 116

AWS Big Data

APRIL 28, 2025

The data is stored in Apache Parquet format with AWS Glue Catalog providing metadata management. In-place migration How it works : Converts an existing dataset into an Iceberg table without duplicating data by creating Iceberg metadata on top of the existing files while preserving their layout and format.

Data Lake 68

Data Lake Metadata Cost-Benefit Snapshot 68

AWS Big Data

FEBRUARY 18, 2025

When Firehose delivers data to the S3 table, it uses the AWS Glue Data Catalog to store and manage table metadata. This metadata includes schema information, partition details, and file locations, enabling seamless data discovery and querying across AWS analytics services.

Snapshot 80

Snapshot Optimization Data Lake Metadata 80

AWS Big Data

DECEMBER 19, 2024

By using features like Icebergs compaction, OTFs streamline maintenance, making it straightforward to manage object and metadata versioning at scale. Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance. The Data Catalog manages the metadata for the datasets.

Data Lake 98

Data Lake IoT Metadata Testing 98