AWS Big Data

JUNE 10, 2024

Enterprises and organizations across the globe want to harness the power of data to make better decisions by putting data at the center of every decision-making process. When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata. This concept makes Iceberg extremely versatile.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

NOVEMBER 16, 2023

This post discusses the most pressing needs when designing an enterprise-grade Data Vault and how those needs are addressed by Amazon Redshift in particular and AWS cloud in general. The first post in this two-part series discusses best practices for designing enterprise-grade data vaults of varying scale using Amazon Redshift.

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

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

AWS Big Data

DECEMBER 4, 2024

It makes data available in Amazon SageMaker Lakehouse and Amazon Redshift from multiple operational, transactional, and enterprise sources. 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.

Data Integration 114

Data Integration Data Lake Statistics Data-driven 114

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. This can be a much less expensive operation compared to rewriting all the data files.

Data Lake 122

Data Lake Metadata Snapshot Recreation/Entertainment 122

AWS Big Data

MAY 24, 2023

Jupyter Enterprise Gateway 2.6.0, 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() This example is demonstrated on an EMR version emr-6.10.0

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. 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.

Data Architecture 93

Data Architecture Metadata Data Lake Snapshot 93

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 93

Snapshot Data Warehouse Data Processing Strategy 93

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. Why is Data Lineage Key to Your Enterprise?

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. Tag this data to preserve a snapshot of it.

Snapshot 105

Snapshot Data Lake Testing Strategy 105

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 82

Data Warehouse Snapshot Metadata Cost-Benefit 82

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

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 4: Enterprise grade. 3: Open Performance.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

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

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

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

Cloudera

DECEMBER 15, 2022

For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale. Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Metadata management . ORC open file format support.

Metadata 80

Metadata Data Warehouse Snapshot Machine Learning 80

IBM Big Data Hub

JUNE 7, 2023

Enterprise clients worldwide continue to grapple with a threat landscape that is constantly evolving. It is also engineered to help enterprises detect sophisticated threats earlier and orchestrate data recovery to help get a minimally viable enterprise operational by coordinating with existing SecOps workflows.

Snapshot 77

Snapshot Metadata Enterprise Testing 77

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. Current snapshot – This table in the data lake stores latest versioned records (upserts) with the ability to use Hudi time travel for historical updates.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

Cloudera

OCTOBER 11, 2022

As Julian and Bret say above, a scaled AI solution needs to be fed new data as a pipeline, not just a snapshot of data and we have to figure out a way to get the right data collected and implemented in a way that is not so onerous. They all should work on shared data of any type – with common metadata management – ideally open.

Data Science 94

Data Science Snapshot Data Warehouse Metadata 94

AWS Big Data

JANUARY 27, 2023

To build a data-driven business, it is important to democratize enterprise data assets in a data catalog. 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. For metadata read/write, Flink has the catalog interface.

Data Lake 87

Data Lake Metadata Business Analysis Data-driven 87

AWS Big Data

MARCH 10, 2023

Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. The transformed zone is an enterprise-wide zone to host cleaned and transformed data in order to serve multiple teams and use cases. Additionally, you can query in Athena based on the version ID of a snapshot in Iceberg.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

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. The solr.hdfs.home of the hdfs backup repository must be set to the bucket we want to place the snapshots. data best served through Apache Solr).

Snapshot 71

Snapshot Unstructured Data Dashboards Interactive 71

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. For years, analysts in enterprises had struggled to find the data they needed to build reports. 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.

Metadata 64

Metadata Data Governance Dashboards Software 64

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. Brittany Ly is a Solutions Architect at AWS.

Analytics 134

Analytics IoT Data-driven Snapshot 134

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. Airflow will cache variables and connections locally so that they can be accessed faster during DAG parsing, without having to fetch them from the secrets backend, environments variables, or metadata database.

Metrics 122

Metrics Metadata Snapshot Management 122

IBM Big Data Hub

JULY 6, 2022

starts at the data source, collecting data pipeline metadata across key solutions in the modern data stack like Airflow, dbt, Databricks and many more. Moreover, mean time to repair (MTTR) is also improved as contextual metadata helps data engineers focus on the source of the problem, rather than debugging where the problem stems from.

Metadata 56

Metadata Data Quality Snapshot Cost-Benefit 56

AWS Big Data

JANUARY 17, 2024

Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making. 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

Data Lake 116

Data Lake Snapshot Big Data Data-driven 116

Cloudera

NOVEMBER 15, 2024

Too many tools: An average enterprise organization deploys more than 40 different tools for cyber defense. The metadata-driven approach ensures quick query planning so defenders don’t have to deal with slow processes when they need fast answers. Real-Time Threat Detection with Iceberg Cyber log data is massive and constantly evolving.

Analytics 59

Analytics Metadata Data-driven Snapshot 59

AWS Big Data

MARCH 25, 2024

The result is made available to the application by querying the latest snapshot. The snapshot constantly updates through stream processing; therefore, the up-to-date data is provided in the context of a user prompt to the model. This allows the model to adapt to the latest changes in price and availability.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

Cloudera

MAY 22, 2018

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With Experiments, data scientists can run a batch job that will: create a snapshot of model code, dependencies, and configuration parameters necessary to train the model.

Data Science 41

Data Science Snapshot Machine Learning Data Warehouse 41

Alation

JULY 28, 2022

As enterprises migrate to the cloud, two key questions emerge: What’s driving this change? There are tools to replicate and snapshot data, plus tools to scale and improve performance.” You really need to understand the metadata and data definitions around different data sets,” Kirsch says. Subscribe to Alation's Blog.

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities.

Data Lake 122

Data Lake Management Metrics Data Warehouse 122

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

CIO Business Intelligence

MARCH 5, 2025

Decision Audit Trail a comprehensive logging strategy that records key data points (inputs, outputs, model version, explanation metadata, etc.) Model Registry and Versioning centralized repository that tracks all models, including versions, training data snapshots, hyperparameters, performance metrics and deployment status.

Risk 121

Risk Risk Management Measurement Modeling 121

AWS Big Data

OCTOBER 23, 2024

And during HBase migration, you can export the snapshot files to S3 and use them for recovery. Additionally, we deep dive into some key challenges faced during migrations, such as: Using HBase snapshots to implement initial migration and HBase replication for real-time data migration.

Snapshot 118

Snapshot Recreation/Entertainment Testing Data Processing 118

Cloudera

DECEMBER 3, 2024

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. REST Catalog Value Proposition It provides open, metastore-agnostic APIs for Iceberg metadata operations, dramatically simplifying the Iceberg client and metastore/engine integration.

Metadata 84

Metadata Data Warehouse ROI Machine Learning 84