AWS Big Data

APRIL 3, 2024

licensed, 100% open-source data table format that helps simplify data processing on large datasets stored in data lakes. Data engineers use Apache Iceberg because it’s fast, efficient, and reliable at any scale and keeps records of how datasets change over time.

Data Lake 96

Data Lake Snapshot Metadata Data Architecture 96

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. AWS Glue provides both visual and code-based interfaces to make data integration effortless. The following diagram illustrates the solution architecture.

Analytics 98

Analytics IT Data Lake Visualization 98

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 104

Data Lake Visualization Optimization Interactive 104

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. Data quality rulesets We categorize some of the built-in AWS Glue Data Quality rule types to define the benchmark structure.

Data Quality 92

Data Quality Measurement Testing Visualization 92

AWS Big Data

AUGUST 28, 2023

Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake. For more information, refer to Lifecycle management in Security Lake. Review the details and create the data lake. Choose Next. Choose Component templates to verify the OCSF component templates.

Dashboards 52

Dashboards Visualization Metadata Management 52

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. Cloud washing is storing data on the cloud for use over the internet. The following timeline shows how the young cloud market blew almost as soon as it hit the markets. This gap sealed the domination of AWS in the market.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

DECEMBER 11, 2019

He talked through how the mind-blowing escalation of data and the drastic reduction in the cost of its storage has led to more complex, sophisticated uses of data and a shift in the way it’s managed and consumed. He concluded that data teams can influence the transformation of startups into unicorns. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80