AWS Big Data

APRIL 3, 2024

Manage your Iceberg table with AWS Glue You can use AWS Glue to ingest, catalog, transform, and manage the data on Amazon Simple Storage Service (Amazon S3). With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog.

Data Lake 106

Data Lake Snapshot Metadata Data Architecture 106

AWS Big Data

OCTOBER 19, 2023

In this post, we discuss different architecture patterns to keep data in sync and up to date between data lakes built on open table formats and data warehouses such as Amazon Redshift. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0 An S3 bucket for storing data.

Data Lake 122

Data Lake Data Warehouse Visualization Snapshot 122

Smart Data Collective

AUGUST 21, 2022

But what is the state of AI and Big Data, right now? In this article, we take a snapshot look at the world of information processing as it stands in the present. Big data and AI have what is referred to as a synergistic relationship. The sales department, however, might not know any of it.

Big Data 98

Big Data Cost-Benefit Sales Snapshot 98

DataKitchen

MAY 10, 2021

These labor-intensive evaluations of data quality can only be performed periodically, so at best they provide a snapshot of quality at a particular time. DataOps automation that focuses on lowering the rate of errors ensures continuous testing and improvement in data integrity. Location Balance Tests. Historical Balance.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

DECEMBER 13, 2023

Using Amazon MSK, we securely stream data with a fully managed, highly available Apache Kafka service. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

Data Warehouse 111

Data Warehouse Snapshot Data Processing Internet of Things 111

AWS Big Data

NOVEMBER 10, 2023

This is particularly valuable for Type 2 slowly changing dimension (SCD) and timespan accumulating snapshot facts. Optimized Redshift queries – The Amazon Redshift integration for Apache Spark plays a crucial role in converting the Spark query plan into an optimized Redshift query.

Data Processing 105

Data Processing Data Lake Data Warehouse Optimization 105

AWS Big Data

MAY 30, 2023

Data lakes are not transactional by default; however, there are multiple open-source frameworks that enhance data lakes with ACID properties, providing a best of both worlds solution between transactional and non-transactional storage mechanisms. The reference data is continuously replicated from MySQL to DynamoDB through AWS DMS.

Data Lake 88

Data Lake Data Analytics Analytics Data Processing 88

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 87

Management Metadata Internet of Things Testing 87

AWS Big Data

NOVEMBER 29, 2023

The dbt-glue adapter democratized access for dbt users to data lakes, and enabled many users to effortlessly run their transformation workloads on the cloud with the serverless data integration capability of AWS Glue. Data engineers define dbt models for their data representations. and Viewpoint.

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Data Lake Management Metrics Data Warehouse 117

AWS Big Data

JULY 19, 2023

Stage the source data Before we can create and load the dimensions table, we need source data. Therefore, we stage the source data into a staging or temporary table. This is often referred to as the staging layer , which is the raw copy of the source data. There are seven different dimension types.

Modeling 76

Modeling Sales Data Warehouse Snapshot 76

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: Apache Iceberg enables seamless integration between different streaming and processing engines while maintaining data integrity between them.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

AWS Big Data

FEBRUARY 1, 2023

Architecturally, we chose a serverless model, and the data lake architecture action line refers to all the architectural gaps and challenging features we determined were part of the improvements. To query data from REST APIs and other data sources, we used PySpark and JDBC modules.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Jet Global

JANUARY 9, 2020

On one hand, BI analytic tools can provide a quick, easy-to-understand visual snapshot of what appears to be the bottom line. What we are referring to here are the previously mentioned plug-and-play tools such as Power BI, Tableau, Qlik, or Domo.

Management 52

Management Analytics Visualization Dashboards 52

Wayne Yaddow

FEBRUARY 26, 2025

Photo by Markus Spiske on Unsplash Introduction Senior data engineers and data scientists are increasingly incorporating artificial intelligence (AI) and machine learning (ML) into data validation procedures to increase the quality, efficiency, and scalability of data transformations and conversions.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

FineReport

JUNE 14, 2023

Additionally, the report presents daily sales revenue, which gives a snapshot of the revenue generated on a daily basis. Auditing your data sources helps streamline your efforts, ensuring that your reporting dashboard presents only the information and insights worth analyzing.

KPI 52

KPI Reporting Key Performance Indicator Sales 52

AWS Big Data

DECEMBER 9, 2024

The importance of publishing only high-quality data cant be overstatedits the foundation for accurate analytics, reliable machine learning (ML) models, and sound decision-making. AWS Glue is a serverless data integration service that you can use to effectively monitor and manage data quality through AWS Glue Data Quality.

Data Quality 109

Data Quality Publishing Snapshot Data Lake 109

AWS Big Data

MAY 19, 2023

In these scenarios, customers looking for a serverless data integration offering use AWS Glue as a core component for processing and cataloging data. You can now consolidate run logs of AWS Glue jobs on the Airflow console to simplify troubleshooting data pipelines. The steps to upgrade Amazon MWAA to version 2.4.3

Machine Learning 96

Machine Learning Metrics Big Data Management 96

Jet Global

MAY 2, 2022

You also have this year’s approved budget on hand for reference. The source data in this scenario represents a snapshot of the information in your ERP system. During this process, you notice that maintenance and repair expenses were especially high in June and July.

Sales 52

Sales Finance Reporting Software 52

AWS Big Data

OCTOBER 23, 2024

Running HBase on Amazon S3 has several added benefits, including lower costs, data durability, and easier scalability. And during HBase migration, you can export the snapshot files to S3 and use them for recovery. HBase provided by other cloud platforms doesn’t support snapshots.

Snapshot 104

Snapshot Recreation/Entertainment Testing Data Processing 104

DataKitchen

JANUARY 23, 2023

It is important to have additional tools and processes in place to understand the impact of data errors and to minimize their effect on the data pipeline and downstream systems. These operations can include data movement, validation, cleaning, transformation, aggregation, analysis, and more.

Testing 130

Testing Data Governance Data Quality Data-driven 130