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 108

Analytics IoT Data-driven Snapshot 108

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 72

Snapshot Metadata Testing Data-driven 72

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 110

Data mining Metadata Big Data ROI 110

Cloudera

JULY 14, 2023

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. Hive creates Iceberg’s metadata files for the same exact table.

Snapshot 72

Snapshot Metadata Data Warehouse Testing 72

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 81

Data Warehouse Management Snapshot Data Lake 81

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 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

AWS Big Data

AUGUST 16, 2023

Iceberg captures metadata information on the state of datasets as they evolve and change over time. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog.

Data Lake 74

Data Lake Metadata Snapshot Management 74

Cloudera

OCTOBER 11, 2022

Data science needs analytics. In the article, Bret Greenstein, data, analytics and AI partner at PwC identifies that, “No matter how organizations move toward scaling AI in the coming year, it’s important to understand the significant differences between using AI as a ‘proof of concept’ and scaling those efforts.”

Snapshot 95

Snapshot Data Science Digital Transformation Metadata 95

Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. The Data Discovery and Exploration template contains the most commonly used services in search analytics applications. See the snapshot below. Coordinates distribution of data and metadata, also known as shards.

Snapshot 69

Snapshot Unstructured Data Dashboards Interactive 69

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 56

OLAP Metadata Online Analytical Processing Data Quality 56

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 85

Data Quality Visualization Metadata Metrics 85

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 110

Optimization Snapshot Metadata Cost-Benefit 110

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. AWS provides flexibility and a wide breadth of features to ingest data, build AI and ML applications, and run analytics workloads without having to focus on the undifferentiated heavy lifting.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

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 99

Metrics Metadata Snapshot Management 99

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 use case fits very well in the streaming analytics domain.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

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 101

Management Metadata Analytics Dashboards 101

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 89

Data Lake Snapshot Big Data Data-driven 89

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 93

Snapshot Metadata Cost-Benefit Data Warehouse 93

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 88

Data Lake Snapshot Metadata Optimization 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. 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

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

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 92

Snapshot Dashboards Visualization Metrics 92

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 73

Metadata Snapshot Data Warehouse Statistics 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 79

Snapshot Metadata Measurement Data Warehouse 79

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 64

Data Architecture Metadata Data Lake Snapshot 64

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 83

Data Warehouse Snapshot Metadata Cost-Benefit 83

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 80

Data Lake Snapshot Metadata Optimization 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 64

Snapshot Data Warehouse Testing Analytics 64

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 92

Snapshot Management Cost-Benefit Metadata 92

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. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

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 81

Metadata Data Warehouse Snapshot Data Quality 81

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 83

Data Lake Analytics Snapshot Optimization 83

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 109

Data Lake Metadata Optimization Statistics 109

Cloudera

MARCH 23, 2022

Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: 1: Multi-function analytics . 3: Open Performance. Financial regulation. Reproducibility for ML Ops.

Metadata 93

Metadata Data Architecture Machine Learning Cost-Benefit 93

AWS Big Data

AUGUST 16, 2023

Apache Iceberg is an open table format for very large analytic datasets. Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. We fetch the metadata of the users_xxxxxx table from Athena.

Data Lake 68

Data Lake Metadata Testing Snapshot 68

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

MAY 10, 2023

The cluster manager performs critical coordination tasks like metadata management and cluster formation, and orchestrates a few background operations like snapshot and shard placement. We concluded that allowing writes in this state should still be safe as long as it doesn’t need to update the cluster metadata.

Snapshot 89

Snapshot Testing Metadata Management 89