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

Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics. As your operational analytics data velocity and volume of data grows, bottlenecks may emerge.

Optimization 125

Optimization Snapshot Metadata Cost-Benefit 125

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. For example, an ecommerce company may add new customer demographic attributes or order status flags to enrich analytics.

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 integration is supported by AWS analytics services including Amazon EMR , Amazon Athena , and AWS Glue. Starting with Amazon EMR version 6.5.0,

Data Lake 128

Data Lake Data Processing Metadata Snapshot 128

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 118

Management Metadata Analytics Dashboards 118

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. Key Design Goals .

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

AWS Big Data

OCTOBER 3, 2023

You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Analytics use cases on data lakes are always evolving. 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

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. It will never remove files that are still required by a non-expired snapshot.

Snapshot 115

Snapshot Data Lake Metadata Optimization 115

AWS Big Data

APRIL 3, 2024

Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases. AWS provides integrations for various AWS services with Iceberg tables as well, including AWS Glue Data Catalog for tracking table metadata.

Data Lake 106

Data Lake Snapshot Metadata Data Architecture 106

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

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

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 121

Snapshot Metadata Big Data Analytics 121

AWS Big Data

DECEMBER 4, 2024

Amazon SageMaker Lakehouse unifies all your data across Amazon S3 data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. The data is also registered in the Glue Data Catalog , a metadata repository. You don’t need to maintain complex ETL pipelines.

Data Integration 98

Data Integration Data Lake Statistics Data-driven 98

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. The Default Database is an optional field so we can leave it empty for now.

Snapshot 114

Snapshot Data Processing Metadata Data Processing 114

AWS Big Data

JANUARY 8, 2024

It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services. The collected data is available in milliseconds to allow real-time analytics use cases, such as real-time dashboards, real-time anomaly detection, and dynamic pricing.

Analytics 124

Analytics IoT Data-driven Snapshot 124

AWS Big Data

NOVEMBER 22, 2023

Hudi’s advanced performance optimizations make analytical workloads faster with any of the popular query engines including Apache Spark, Presto, Trino, Hive, and so on. 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.

Data Lake 107

Data Lake Snapshot Metadata Optimization 107

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 92

Data Lake Snapshot Metadata Optimization 92

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 94

Data Lake Analytics Snapshot Data Quality 94

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

Cloudera

FEBRUARY 8, 2024

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. 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.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

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

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

Data Warehouse 82

Data Warehouse Snapshot Metadata Cost-Benefit 82

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

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. This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

AWS Big Data

AUGUST 23, 2023

With managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more. At release, you could create search and time series collections for full-text search and log analytics use cases, respectively.

Snapshot 97

Snapshot Dashboards Visualization Metrics 97

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Daily snapshot of opportunities that’s derived from a table of opportunities’ histories.

Sales 91

Sales Forecasting Snapshot Management 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

Many customers are looking for best practices to keep their Amazon Redshift analytics environment compliant and have an ability to respond to GDPR right to forgotten requests. 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

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. 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.

Data Warehouse 92

Data Warehouse Management Snapshot Data Lake 92

Cloudera

NOVEMBER 15, 2024

Read on to discover the issues that cyber defenders face leveraging data, analytics, and AI to do their jobs, how Cloudera’s open data lakehouse mitigates those issues, and how this architecture is crucial for successfully navigating the complexities of the modern cybersecurity landscape.

Analytics 59

Analytics Metadata Snapshot Data-driven 59

Cloudera

JULY 13, 2023

Iceberg is an emerging open-table format designed for large analytic workloads. 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.

Metadata 70

Metadata Snapshot Data Warehouse Statistics 70

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

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Enhanced multi-function analytics. Only metadata will be regenerated. Advanced capabilitie.

Metadata 80

Metadata Data Warehouse Snapshot Machine Learning 80

AWS Big Data

FEBRUARY 13, 2023

This is a guest post by Miguel Chin, Data Engineering Manager at OLX Group and David Greenshtein, Specialist Solutions Architect for Analytics, AWS. To do this, we required the following: A reference cluster snapshot – This ensures that we can replay any tests starting from the same state. Take snapshot from 6 x RA3.4xlarge.

Snapshot 73

Snapshot Data Warehouse Analytics Testing 73

AWS Big Data

NOVEMBER 16, 2023

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability. Manual snapshots can be kept indefinitely at standard Amazon S3 rates.

Enterprise 97

Enterprise Data Warehouse Snapshot Cost-Benefit 97

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. AWS Glue is a serverless data integration service that makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources.

Optimization 52

Optimization Forecasting Data Lake Metadata 52