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.

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

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.

Data Warehouse 81

Data Warehouse Snapshot Metadata Cost-Benefit 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. Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture. Additional field types OpenSearch 2.7

Snapshot 95

Snapshot Dashboards Visualization Metrics 95

AWS Big Data

OCTOBER 11, 2023

To reap the benefits of cloud computing, like increased agility and just-in-time provisioning of resources, organizations are migrating their legacy analytics applications to AWS. Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors.

Management 106

Management Metadata Analytics Dashboards 106

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 89

Snapshot Management Cost-Benefit Metadata 89

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. For updates, previous versions of the old values of a record may be retained until a similar process is run.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Data Lineage, a form of static analysis , is like a snapshot or a historical record describing data assets at a specific time.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

Cloudera

JULY 14, 2023

However, as there are already 25 million terabytes of data stored in the Hive table format, migrating existing tables in the Hive table format into the Iceberg table format is necessary for performance and cost. They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data.

Snapshot 70

Snapshot Metadata Data Warehouse Testing 70

IBM Big Data Hub

JULY 6, 2022

With the average cost of bad data reaching $15M, 2 ignoring the problem is a significant pitfall. . starts at the data source, collecting data pipeline metadata across key solutions in the modern data stack like Airflow, dbt, Databricks and many more. Businesses of all sizes, in all industries are facing a data quality problem.

Metadata 56

Metadata Data Quality Snapshot Cost-Benefit 56

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. Iceberg, on the other hand, is an open table format that works with open file formats to avoid this coupling.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

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. Moreover, many customers are looking for an architecture where they can combine the benefits of a data lake and a data warehouse in the same storage location. The Iceberg table is synced with the AWS Glue Data Catalog.

Data Lake 104

Data Lake Sales Data Warehouse Snapshot 104

Cloudera

NOVEMBER 13, 2020

Impala’s planner does not do exhaustive cost-based optimization. Instead, it makes cost-based decisions with more limited scope (for example when comparing join strategies) and applies rule-based and heuristic optimizations for common query patterns. Metadata Caching. More on this below. Execution Engine.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Alation

JULY 28, 2022

However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing. There are tools to replicate and snapshot data, plus tools to scale and improve performance.” Data aggregation is another key benefit the cloud delivers.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Domino Data Lab

JUNE 26, 2019

On the flip side, when data scientists mark a project as complete with a description of the project conclusion, Domino also captures this metadata for project tracking and future references. All of this metadata captured can be useful for organizational learning, organize projects and help to avoid similar issues in the future. .

Data Science 65

Data Science Dashboards Metadata Snapshot 65

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 91

Data Lake Unstructured Data Management Modeling 91

AWS Big Data

JANUARY 17, 2024

By preserving historical versions, data lake time travel provides benefits such as auditing and compliance, data recovery and rollback, reproducible analysis, and data exploration at different points in time. The following are some highlighted steps: Run a snapshot query. %%sql You can now follow the steps in the notebook.

Data Lake 95

Data Lake Snapshot Big Data Data-driven 95