AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Expiring old snapshots – This operation provides a way to remove outdated snapshots and their associated data files, enabling Orca to maintain low storage costs.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Cloudera

AUGUST 21, 2024

Additionally, this release of Open Data Lakehouse includes a mix of Apache Ozone capabilities, like quotas, snapshots, and disaster recovery enhancements. Open Data Lakehouse also offers expanded support for Python 3.10 and RHEL 9.1, all of which add another layer of compatibility and flexibility.

Snapshot 66

Snapshot Unstructured Data Data Architecture Data Warehouse 66

AWS Big Data

MARCH 10, 2023

Tracking data changes and rollback Build your transactional data lake on AWS You can build your modern data architecture with a scalable data lake that integrates seamlessly with an Amazon Redshift powered cloud warehouse. 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

DECEMBER 21, 2021

Today it’s used by many innovative technology companies at petabyte scale, allowing them to easily evolve schemas, create snapshots for time travel style queries, and perform row level updates and deletes for ACID compliance. Modernizing pipelines.

Snapshot 118

Snapshot Data-driven Optimization Management 118

Cloudera

OCTOBER 11, 2022

The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. The challenge for AI is how to do data in all its complexity – volume, variety, velocity. We believe the best path is with a hybrid data platform for modern data architectures with data anywhere.

Data Science 94

Data Science Snapshot Data Warehouse Metadata 94

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. 1: Multi-function analytics . Financial regulation. Reproducibility for ML Ops.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. State snapshot in Amazon S3 – You can store the state snapshot in Amazon S3 for tracking.

Analytics 133

Analytics IoT Data-driven Snapshot 133

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. The original source file 2022.csv

Data Lake 135

Data Lake Data Warehouse Visualization Snapshot 135

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Clustering data for better data colocation using z-ordering.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Table data storage mode – There are two options: Historical – This table in the data lake stores historical updates to records (always append).

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

AWS Big Data

SEPTEMBER 13, 2024

Suvojit Dasgupta is a Principal Data Architect at Amazon Web Services. He leads a team of skilled engineers in designing and building scalable data solutions for AWS customers. He specializes in developing and implementing innovative data architectures to address complex business challenges.

Management 111

Management Snapshot Cost-Benefit Testing 111

AWS Big Data

AUGUST 2, 2023

The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint. Customers have the flexibility to choose the services in each stage of the data pipeline based on their use case.

Data Lake 94

Data Lake Measurement Visualization Data Architecture 94

AWS Big Data

JUNE 12, 2024

He has over 20 years of experience in software engineering, software architecture, and cloud architecture. He has over 25 years of experience in Enterprise data architecture, databases and data warehousing. outputs: - Name: ClusterStatus Selector: '$.Clusters[0].ClusterStatus' Clusters[0].ClusterStatus'

Data-driven 115

Data-driven Snapshot Optimization Management 115

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow. The following figure shows a daily usage KPI.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. Data streaming enables you to ingest data from a variety of databases across various systems.

Data Lake 118

Data Lake Unstructured Data Management Snapshot 118

AWS Big Data

MARCH 28, 2024

The following code provides a snapshot of our cluster configuration: Concurrent steps:10 EMR Managed Scaling: minimumCapacityUnits: 64 maximumCapacityUnits: 512 maximumOnDemandCapacityUnits: 512 maximumCoreCapacityUnits: 512 Master Instance Fleet: r6g.xlarge - 4 vCore, 30.5 GB with a p99 of 491 seconds (approximately 8 minutes).

Optimization 107

Optimization IT Big Data Data Processing 107

AWS Big Data

MARCH 28, 2023

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. The dataset represents employee details such as ID, name, address, phone number, contractor or not, and more. You can also maintain the delta table by compacting the small files.

Data Lake 96

Data Lake Testing Snapshot Big Data 96

AWS Big Data

FEBRUARY 9, 2023

With scheduled flows, you can choose either full or incremental data transfer: With full transfer, Amazon AppFlow transfers a snapshot of all records at the time of the flow run from the source to the destination. He’s on a mission to make life easier for customers who are facing complex data integration challenges.

Data Warehouse 101

Data Warehouse Data-driven Snapshot Testing 101

AWS Big Data

APRIL 3, 2024

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. He focuses on modern data architectures and helping customers accelerate their cloud journey with serverless technologies.

Data Quality 116

Data Quality Visualization Metadata Metrics 116

Alation

JULY 28, 2022

What Are the Biggest Drivers of Cloud Data Warehousing? It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. There are tools to replicate and snapshot data, plus tools to scale and improve performance.”

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

AWS Big Data

OCTOBER 18, 2023

Deselect Create final snapshot. He is deeply passionate about Data Architecture and helps customers build analytics solutions at scale on AWS. She has helped many customers build large-scale data warehouse solutions in the cloud and on premises. Select Delete the associated namespace.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

AWS Big Data

MARCH 3, 2023

For more information, refer to Creating external tables for data managed in Delta Lake. A Delta table manifest contains a list of files that make up a consistent snapshot of the Delta table. You could use this high-level architecture for any other use cases where you need to use the latest version of Spark on EMR Serverless.

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

AWS Big Data

DECEMBER 20, 2024

The following maintenance tasks are supported by the framework: Expire snapshots Snapshots can be used for rollback operations as well as time traveling queries. Its highly recommended to regularly expire snapshots that are no longer needed. Remove old metadata files Metadata files can accumulate over time just like snapshots.

Metadata 119

Metadata Data-driven Snapshot Data Lake 119

Cloudera

DECEMBER 3, 2024

Apache Iceberg, together with the REST Catalog, dramatically simplifies the enterprise data architecture, reducing the Time to Value, Time to Market, and overall TCO, and driving greater ROI. It provides real time metadata access by directly integrating with the Iceberg-compatible metastore.

Metadata 84

Metadata Data Warehouse ROI Snapshot 84

DataKitchen

AUGUST 8, 2023

Like an apartment blueprint, Data lineage provides a written document that is only marginally useful during a crisis. This is especially true regarding our one-to-many, producer-to-consumer relationships on our data architecture. Are problems with data tests? Which report tab is wrong? When did it last run? Did it fail?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

DataKitchen

JANUARY 23, 2023

To capture a more complete picture of the data’s journey, it is important to have a DataOps Observability system in place. Data lineage is static and often lags by weeks or months. Data lineage is often considered static because it is typically based on snapshots of data and metadata taken at a specific time.

Testing 130

Testing Data Governance Data Quality Data-driven 130