AWS Big Data

MARCH 20, 2023

In the first post of this series , we described how AWS Glue for Apache Spark works with Apache Hudi, Linux Foundation Delta Lake, and Apache Iceberg datasets tables using the native support of those data lake formats. Even without prior experience using Hudi, Delta Lake or Iceberg, you can easily achieve typical use cases.

Visualization 80

Visualization Data Lake Snapshot Big Data 80

AWS Big Data

NOVEMBER 20, 2023

In AWS, hundreds of thousands of customers use AWS Glue , a serverless data integration service, to discover, combine, and prepare data for analytics and machine learning. The sample job reads data from MySQL database and writes to S3 in Parquet format. For more information, refer to Reading from JDBC tables in parallel.

Visualization 85

Visualization Optimization Data Lake Management 85

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. mode('overwrite').save(output_path

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

CIO Business Intelligence

MAY 24, 2022

Deloitte lists these as: Creating and shaping a common data foundation. Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. store and process the data, typically in a data warehouse, where the data is modelled and schema applied.

Data-driven 82

Data-driven Data Lake Data Warehouse Cost-Benefit 82

AWS Big Data

JULY 13, 2023

The AWS Glue crawler populates the table definition with its schema in AWS Glue Data Catalog. Foundations for a data lake with data governance controls and data quality checks. The Altron team created an AWS Glue crawler and configured it to run against Azure SQL to discover its tables.

Optimization 91

Optimization B2B Data Quality Sales 91

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

AWS Big Data

JUNE 12, 2023

Acting as a bridge between producer and consumer apps, it enforces the schema, reduces the data footprint in transit, and safeguards against malformed data. AWS Glue is an ideal solution for running stream consumer applications, discovering, extracting, transforming, loading, and integrating data from multiple sources.

Management 79

Management Metadata Testing Internet of Things 79

AWS Big Data

JUNE 10, 2024

Apache Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for processing engines such as Apache Spark, Trino, Apache Flink, Presto, Apache Hive, and Impala to safely work with the same tables at the same time.

Data Lake 92

Data Lake Metadata Snapshot Analytics 92

AWS Big Data

MARCH 29, 2024

Amazon MSK enables us to tailor the data retention duration to our specific requirements, ranging from seconds to unlimited duration. This flexibility grants uninterrupted data availability to our application, which wasn’t possible with our previous architecture.

Cost-Benefit 91

Cost-Benefit Data-driven Metrics Management 91

Sisense

JULY 22, 2020

As access to and use of data has now expanded to business team members and others, it’s more important than ever that everyone can appreciate what happens to data as it goes through the BI and analytics process. Your definitive guide to data and analytics processes. Data modeling: Create relationships between data.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions.

Data Lake 103

Data Lake Management Metrics Data Warehouse 103

erwin

AUGUST 31, 2023

Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies. Efficient Development : Accurate data models expedite database development, leading to efficient data integration, migration, and application development.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98