AWS Big Data

NOVEMBER 20, 2023

Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. The end benefit for you is more effective and optimized AWS Glue for Apache Spark workloads. The metrics are available in all AWS Glue supported Regions. Check it out!

Metrics 98

Metrics Data Lake Cost-Benefit Dashboards 98

AWS Big Data

NOVEMBER 10, 2023

Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency. Additionally, you’ll benefit from performance improvements through pushdown optimizations, further enhancing the efficiency of your operations. options(**read_config).option("query",

Data Processing 95

Data Processing Data Lake Data Warehouse Optimization 95

AWS Big Data

MARCH 29, 2024

Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. Looking at the Skewness Job per Job visualization, there was spike on November 1, 2023. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metrics 108

Metrics Visualization Dashboards Interactive 108

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. _cdc_unit" t2 WHERE t2.deletexid_ _cdc_unit" t2 WHERE t2.deletexid_

Data Warehouse 88

Data Warehouse Data Processing Data Lake Management 88

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. This property is set to true by default. availability.

Data Lake 85

Data Lake Snapshot Metadata Optimization 85

AWS Big Data

NOVEMBER 20, 2023

Customers often use Apache Spark Web UI , a popular debugging tool that is part of open source Apache Spark, to help fix problems and optimize job performance. Once logs are parsed, you can When logs are parsed, you can use the built-in Spark UI to debug, troubleshoot, and optimize your jobs. Now it’s time to run the job!

Visualization 88

Visualization Optimization Data Lake Management 88

AWS Big Data

JUNE 6, 2023

You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 76

Data Quality Data Lake Data-driven Metrics 76

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.

Snapshot 89

Snapshot Metadata Cost-Benefit Data Warehouse 89

AWS Big Data

AUGUST 16, 2023

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. Iceberg also helps guarantee data correctness under concurrent write scenarios. We use a sample JSON file as input to Amazon DynamoDB.

Data Lake 72

Data Lake Metadata Testing Snapshot 72

AWS Big Data

MARCH 17, 2023

The response has been overwhelmingly positive, leading to the development of two additional analytics dashboards, Job Postings and Onboarding, both set to be released in the first half of 2023. They want to see how their job postings are performing, if there is a drop in any posting, and opportunities to optimize their process.

Dashboards 52

Dashboards IT Data Lake Visualization 52

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging. With Netezza support for 1.2

Cost-Benefit 85

Cost-Benefit Metadata Optimization Management 85

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Another integration launched in 2023 is with Amazon Monitron to power predictive maintenance management.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 69

Machine Learning Data Warehouse Modeling Cost-Benefit 69

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2023, we released several updates to AWS Glue crawlers. Crawlers, salut!

Data Lake 93

Data Lake Metadata Data Governance Statistics 93

IBM Big Data Hub

MAY 9, 2023

A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Optimized for all data, analytics and AI workloads, watsonx.data combines the flexibility of a data lake with the performance of a data warehouse, helping businesses to scale data analytics and AI anywhere their data resides.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

AWS Big Data

NOVEMBER 13, 2023

2023 AWS Analytics Superheroes We are excited to introduce the 2023 AWS Analytics Superheroes at this year’s re:Invent conference! A shapeshifting guardian and protector of data like Data Lynx? 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

AWS Big Data

DECEMBER 18, 2023

Get a closer look at how scaling for data warehousing works in AWS with the latest introduction of AI driven scaling and optimizations in Amazon Redshift Serverless to enable better price-performance for your workloads.

Data Warehouse 101

Data Warehouse Machine Learning Data-driven Data Lake 101

AWS Big Data

NOVEMBER 8, 2023

Save the date: AWS re:Invent 2023 is happening from November 27 to December 1 in Las Vegas, and you cannot miss it. In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. High-quality data is not just about accuracy; it’s also about timeliness.

Data-driven 90

Data-driven Data Lake Machine Learning Cost-Benefit 90

AWS Big Data

MAY 1, 2024

Currently, we have approximately 120,000 employees worldwide (as of March 2023), including group companies. To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market.

Dashboards 114

Dashboards Data-driven Publishing Cost-Benefit 114

erwin

AUGUST 31, 2023

Improved Decision Making : Well-modeled data provides insights that drive informed decision-making across various business domains, resulting in enhanced strategic planning. Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

IBM Big Data Hub

SEPTEMBER 25, 2023

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. Uber’s prowess as a transportation, logistics and analytics company hinges on their ability to leverage data effectively. But the simplicity ends there.

OLAP 95

OLAP Data Lake Data-driven Snapshot 95

AWS Big Data

MAY 4, 2023

Prerequisites To implement the solution in your own AWS account, you need to create or configure the following AWS resources in advance: An S3 bucket to persist the source and processed data. getvalue(),encoding='utf-8') s3_client.put_object(Body=data, Bucket=bucket, Key=upload_path) s3_client = boto3.client('s3')

Insurance 82

Insurance Publishing Cost-Benefit Data Lake 82

AWS Big Data

APRIL 5, 2023

Showpad also struggled with data quality issues in terms of consistency, ownership, and insufficient data access across its targeted user base due to a complex BI access process, licensing challenges, and insufficient education. As of January 2023, Showpad’s QuickSight instance includes over 2,433 datasets and 199 dashboards.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52