AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 112

Optimization Snapshot Data Lake Metadata 112

AWS Big Data

NOVEMBER 10, 2023

The data sourcing problem To ensure the reliability of PySpark data pipelines, it’s essential to have consistent record-level data from both dimensional and fact tables stored in the Enterprise Data Warehouse (EDW). These tables are then joined with tables from the Enterprise Data Lake (EDL) at runtime.

Data Processing 95

Data Processing Data Lake Data Warehouse Optimization 95

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 66

Optimization Data Lake Cost-Benefit Reporting 66

AWS Big Data

MARCH 29, 2024

Looking at the Skewness Job per Job visualization, there was spike on November 1, 2023. You can choose Controls , and change filter conditions based on date time, Region, AWS account ID, AWS Glue job name, job run ID, and the source and sink of the data stores. Let’s drill down into details.

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

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure.

Data Lake 115

Data Lake Data Warehouse Visualization Snapshot 115

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 73

Data Lake Testing Snapshot Sales 73

AWS Big Data

MARCH 23, 2023

Register the S3 path storing the table using Lake Formation We register the S3 full path in Lake Formation: Navigate to the Lake Formation console. In the navigation pane, under Register and ingest , choose Data lake locations. Jack Ye is a software engineer of the Athena Data Lake and Storage team at AWS.

Interactive 70

Interactive Snapshot Data Lake Software 70

CIO Business Intelligence

FEBRUARY 19, 2024

Il nuovo ruolo dell’IT: la business continuity Deligia ha costruito la sua strategia per la business continuity sulle fondamenta tecnologiche di big data , analytics, automazione e IA. Questo dialogo IT-business si basa per Italo su un’infrastruttura IT flessibile che ha numerose componenti di automazione e di IA e dà il necessario.

IT 98

IT KPI Data Lake Digital Transformation 98

CIO Business Intelligence

MARCH 13, 2024

Infatti, secondo il “Report Imprese e Ict 2023” di Istat, la mancanza di competenze è il primo freno all’adozione delle tecnologie IA in Italia: il 55,1% delle imprese che hanno preso in considerazione il suo utilizzo senza poi adottarla ha rinunciato per carenza di skill e comprensione delle possibilità per il proprio business.

Machine Learning 105

Machine Learning Deep Learning Big Data Testing 105

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. availability. parquet") df.sortWithinPartitions("review_date").writeTo("dev.db.amazon_reviews_iceberg").append()

Data Lake 86

Data Lake Snapshot Metadata Optimization 86

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

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 88

Data Lake Data Warehouse Marketing Management 88

AWS Big Data

MARCH 27, 2023

Choose Create data source. Perform interactive analysis on Confluent data With the Athena connector set up, our streaming data is now queryable from the same service we use to analyze S3 data lakes. Aggregation We can use standard SQL functions to aggregate the data.

Visualization 78

Visualization Data Lake Interactive Data-driven 78

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 82

Visualization Data Lake Snapshot Big Data 82

AWS Big Data

MARCH 27, 2024

Amazon Redshift integrates with AWS HealthLake and data lakes through Redshift Spectrum and Amazon S3 auto-copy features, enabling you to query data directly from files on Amazon S3. This means you no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog.

Data Analytics 94

Data Analytics Analytics Data Warehouse Data Lake 94

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 77

Data Quality Data Lake Data-driven Metrics 77

AWS Big Data

NOVEMBER 20, 2023

Monitor and Troubleshoot with Serverless Spark UI A typical workload for AWS Glue for Apache Spark jobs is loading data from relational databases to S3-based data lakes. The sample job reads data from MySQL database and writes to S3 in Parquet format. He works based in Tokyo, Japan.

Visualization 88

Visualization Optimization Data Lake Management 88

AWS Big Data

APRIL 26, 2024

Set up EMR Studio In this step, we demonstrate the actions needed from the data lake administrator to set up EMR Studio enabled for trusted identity propagation and with IAM Identity Center integration. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane.

Analytics 97

Analytics Data Lake Management Enterprise 97

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. In our query, it corresponds to the time 2023-04-18 21:34:13.970.

Data Lake 73

Data Lake Metadata Testing Snapshot 73

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. Developers get the data into the data lake, and then the product team pulls in the data into QuickSight and deploys it as needed.

Dashboards 52

Dashboards IT Data Lake Visualization 52

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

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 87

Snapshot Metadata Cost-Benefit Data Warehouse 87

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

MARCH 14, 2024

  Redefining cloud database innovation: IBM and AWS In late 2023, IBM and AWS jointly announced the general availability of Amazon relational database service (RDS) for Db2. This service streamlines data management for AI workloads across hybrid cloud environments and facilitates the scaling of Db2 databases on AWS with minimal effort.

Cost-Benefit 80

Cost-Benefit Metadata Optimization Management 80

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? 2:30 PM – 3:30 PM (PDT) Mandalay Bay ANT335 | Get the most out of your data warehousing workloads.

Analytics 112

Analytics Data Lake Data Warehouse Data-driven 112

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 108

Data Warehouse Cost-Benefit Machine Learning Modeling 108

IBM Big Data Hub

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. 1 When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

AWS Big Data

DECEMBER 18, 2023

Sessions ANT203 | What’s new in Amazon Redshift Watch this session to learn about the newest innovations within Amazon Redshift—the petabyte-scale AWS Cloud data warehousing solution. Easily build and train machine learning models using SQL within Amazon Redshift to generate predictive analytics and propel data-driven decision-making.

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. Reserve your seat now! Register now to secure your spot!

Data-driven 91

Data-driven Data Lake Machine Learning Cost-Benefit 91

AWS Big Data

NOVEMBER 15, 2023

Connect with experts, meet with book authors on data warehousing and analytics (at the Meet the Authors event on November 29 and 30, 3:00 PM – 4:00 PM), win prizes, and learn all about the latest innovations from our AWS Analytics services. A shapeshifting guardian and protector of data like Data Lynx?

Data Lake 66

Data Lake Data Warehouse B2B Deep Learning 66

AWS Big Data

NOVEMBER 7, 2023

In this post, we discuss how we’re delivering on these investments with a number of data integration innovations that span AWS databases, analytics, business intelligence (BI), and ML services. G2 Krishnamoorthy is VP of Analytics, leading AWS data lake services, data integration, Amazon OpenSearch Service, and Amazon QuickSight.

Dashboards 74

Dashboards Data-driven Data Integration Data Lake 74

erwin

AUGUST 31, 2023

The Entity-Relationship (ER) model gains prominence as a tool for conceptual data modeling, helping to bridge the gap between business requirements and database design. 2000s – Web and Big Data: The rise of the internet and web applications drives the demand for efficient and scalable databases. by Quest ®. Save My Spot!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

AWS Big Data

MAY 1, 2024

Currently, we have approximately 120,000 employees worldwide (as of March 2023), including group companies. To achieve data-driven management, we built OneData, a data utilization platform used in the four global AWS Regions, which started operation in April 2022. Fujitsu Limited was established in Japan in 1935.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

AWS Big Data

APRIL 28, 2023

You can use the following command to load data into the table we created earlier: aws redshift-data execute-statement --database dev --workgroup-name default --sql "COPY demo.green_201601 FROM 's3://us-west-2.serverless-analytics/NYC-Pub/green/green_tripdata_2016-01' You have to specify –-sql to specify your SQL commands.

Interactive 94

Interactive Metadata Data Warehouse Data-driven 94

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

OLAP 90

OLAP Data Lake Data-driven Snapshot 90