AWS Big Data

DECEMBER 9, 2024

Prerequisites The following prerequisites are required for the use cases: An active AWS Account that provides access to AWS Glue , Amazon Simple Storage Service (Amazon S3) and AWS CloudFormation. Permissions to create and deploy AWS CloudFormation stacks. aws-bundle Jar. Open AWS Glue Studio console.

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O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. Software Development Layers.

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CIO Business Intelligence

DECEMBER 11, 2024

Organizations must decide on their hosting provider, whether it be an on-prem setup, cloud solutions like AWS, GCP, Azure or specialized data platform providers such as Snowflake and Databricks. They must also select the data processing frameworks such as Spark, Beam or SQL-based processing and choose tools for ML.

Management 111

Management Data Governance Data Science Reporting 111

AWS Big Data

MARCH 6, 2025

In this post, we dive into the newly released feature of Amazon Redshift Data API support for SSO, Amazon Redshift RBAC for row-level security (RLS) and column-level security (CLS), and trusted identity propagation with AWS IAM Identity Center to let corporate identities connect to AWS services securely.

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O'Reilly on Data

FEBRUARY 18, 2020

Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). This slowdown suggests that cloud as a category has achieved such a large share that (mathematically) any additional growth must occur at a slower rate.

Data-driven 363

Data-driven Software Statistics Marketing 363

AWS Big Data

OCTOBER 23, 2024

The performance data you can use on the Amazon Redshift console falls into two categories: Amazon CloudWatch metrics – Helps you monitor the physical aspects of your cluster or serverless, such as resource utilization, latency, and throughput. Ekta Ahuja is an Amazon Redshift Specialist Solutions Architect at AWS.

Data Warehouse 111

Data Warehouse Metrics Broadcasting Dashboards 111

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed data warehouse service offered by Amazon Web Services (AWS). The conversion rules in BladeBridge’s configuration file fall into one of three categories: Line substitution Block substitution Function substitution Every line ending with a ; is a statement.

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Data Warehouse Reporting Big Data Data Lake 105

CIO Business Intelligence

OCTOBER 27, 2023

AWS posted a stable 12% revenue growth in the third quarter of 2023 buoyed by demand for generative AI-led services, despite customers trying to optimize their cloud spending. For the last few sequential quarters, revenue growth for AWS has been on a constant decline. AWS posted revenue of $23.06

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AWS Big Data

JULY 2, 2024

The row and column asset filters in Amazon DataZone enable you to control who can access what using a consistent, business user-friendly mechanism for all of your data across AWS data lakes and data warehouses. The customer has multiple product categories, each operated by different divisions of the company.

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AWS Big Data

MARCH 4, 2024

This post demonstrates how you can harness Iceberg, Amazon Simple Storage Service (Amazon S3), AWS Glue , AWS Lake Formation , and AWS Identity and Access Management (IAM) to implement a transactional data lake supporting seamless evolution. Merge the data from the Dropzone location into Iceberg using AWS Glue.

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DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. AWS Code Deploy. AWS Code Pipeline. AWS Code Commit – A fully-managed source control service that hosts secure Git-based repositories. To date, we count over 100 companies in the DataOps ecosystem. Azure DevOps.

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AWS Big Data

OCTOBER 10, 2023

In this post, we showcase how to use AWS Glue with AWS Glue Data Quality , sensitive data detection transforms , and AWS Lake Formation tag-based access control to automate data governance. We use AWS CloudFormation to provision the resources. This gets tedious and delays the data adoption across the enterprise.

Data Quality 111

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AWS Big Data

JUNE 25, 2024

Retrieve the Redshift endpoint by navigating to the Redshift Serverless or provisioned cluster in the AWS console. Configure the object, category, primary key, and fields: Set the object name and object API name. Set the category to specify the type of data to ingest. For more information, see Category.

Data Lake 122

Data Lake Cost-Benefit Data-driven Data Warehouse 122

AWS Big Data

FEBRUARY 16, 2024

Redshift Spectrum uses the AWS Glue Data Catalog as a Hive metastore. AWS Lake Formation offers a straightforward and centralized approach to access management for S3 data sources. Lake Formation uses the AWS Glue Data Catalog to provide access control for Amazon S3. Lake Formation interface endpoint. Amazon S3 gateway endpoint.

Data Lake 119

Data Lake Data Warehouse Testing Business Objectives 119

AWS Big Data

OCTOBER 5, 2023

Amazon AppFlow , a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery. Next, provide AWS Glue Data Catalog settings to create a table for further analysis. Choose Create bucket. Choose Create bucket.

Data Warehouse 118

Data Warehouse Machine Learning Data Integration Data-driven 118

AWS Big Data

APRIL 26, 2023

In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization. To learn more about the Cloud Data Hub, refer to BMW Group Uses AWS-Based Data Lake to Unlock the Power of Data.

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AWS Big Data

DECEMBER 15, 2023

In this post, we provide an automated solution to detect PII data in Amazon Redshift using AWS Glue. AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, and combine data for analytics, ML, and application development. Run an AWS Glue job to detect the PII data.

Data Lake 119

Data Lake Data Warehouse Big Data Structured Data 119

AWS Big Data

APRIL 24, 2023

In 2022, we announced that you can enforce fine-grained access control policies using AWS Lake Formation and query data stored in any supported file format using table formats such as Apache Iceberg , Apache Hudi, and more using Amazon Athena queries. An AWS Glue crawler is integrated on top of S3 buckets to automatically detect the schema.

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Data Lake Data Governance Machine Learning Cost-Benefit 98

AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality reduces the effort required to validate data from days to hours, and provides computing recommendations, statistics, and insights about the resources required to run data validation. This post is Part 6 of a six-part series of posts to explain how AWS Glue Data Quality works.

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AWS Big Data

MARCH 10, 2023

Tracking data changes and rollback Build your transactional data lake on AWS You can build your modern data architecture with a scalable data lake that integrates seamlessly with an Amazon Redshift powered cloud warehouse. The Iceberg table is synced with the AWS Glue Data Catalog.

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Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

MARCH 29, 2024

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring. In this post, we explore how to connect QuickSight to Amazon CloudWatch metrics and build graphs to uncover trends in AWS Glue job observability metrics.

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AWS Big Data

NOVEMBER 22, 2023

Many AWS customers adopted Apache Hudi on their data lakes built on top of Amazon S3 using AWS Glue , a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.

Data Lake 116

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CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Moonfare selected Dremio in a proof-of-concept runoff with AWS Athena, an interactive query service that enables SQL queries on S3 data.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

O'Reilly on Data

AUGUST 8, 2023

At its peak, ChatGPT was in very exclusive company: it’s not quite on the level of Python, Kubernetes, and Java, but it’s in the mix with AWS and React, and significantly ahead of Docker. Although large language models clearly fall into the category of NLP, we suspect that most users associate NLP with older approaches to building chatbots.

Machine Learning 246

Machine Learning Modeling Software IT 246

AWS Big Data

JULY 2, 2024

A full load is performed from SQL Server to Amazon Redshift using AWS Database Migration Service (AWS DMS). When Amazon EventBridge receives a full load completion notification from AWS DMS, ETL processes are run on Amazon Redshift to process data. AWS Step Functions is used to orchestrate this ETL pipeline.

Data Warehouse 118

Data Warehouse Sales Testing Big Data 118

AWS Big Data

JUNE 19, 2023

With OCSF support, the service can normalize and combine security data from AWS and a broad range of enterprise security data sources. We also walk you through how to use a series of prebuilt visualizations to view events across multiple AWS data sources provided by Security Lake.

Publishing 105

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Insight

MARCH 20, 2020

Specifically, I wanted to be able to generate objects from at least 10 different categories (the papers below capture only 2–3) and I wanted to develop the model architecture with the capacity to extend to unlabelled 3D shape data. From the 24 categories in PartNet I narrowed it down to 11 categories to use for my project.

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AWS Big Data

JULY 16, 2024

In 2022, Zurich began a multi-year program to accelerate their digital transformation and innovation through the migration of 1,000 applications to AWS, including core insurance and SAP workloads. In this post, we discuss how Zurich built a hybrid architecture on AWS incorporating AWS services to satisfy their requirements.

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AWS Big Data

SEPTEMBER 12, 2024

The following figure summarizes the AWS services available to support the solution framework described so far. Application logic is currently implemented as a container, but it can be deployed with AWS Lambda as required. The catalog frontend application sends the user search to the generative AI application.

Management 104

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AWS Big Data

JUNE 9, 2023

It also provides a wide variety of job submission methods, like an AWS API called StartJobRun, or through a declarative way with a Kubernetes controller through the AWS Controllers for Kubernetes for Amazon EMR on EKS. The supporting infrastructure for CUR is deployed as defined in Setting up Athena using AWS CloudFormation templates.

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AWS Big Data

AUGUST 26, 2024

You can use AWS Glue Studio to set up data replication and mask PII with no coding required. AWS Glue Studio visual editor provides a low-code graphic environment to build, run, and monitor extract, transform, and load (ETL) scripts. Behind the scenes, AWS Glue handles underlying resource provisioning, job monitoring, and retries.

Visualization 116

Visualization Metadata Data Transformation Testing 116

AWS Big Data

NOVEMBER 17, 2023

Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. The Athena DynamoDB connector runs in a pre-built, serverless AWS Lambda function. AWS Glue provides supplemental metadata from the DynamoDB table. Solution overview The following diagram illustrates the solution architecture.

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Visualization Metadata Testing Internet of Things 114

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

Data Science 101

DECEMBER 27, 2019

AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. Build a custom classifier using AWS Comprehend AWS Comprehend is a Natural Language Processing (NLP) service. Here are the few bits of information I could find.

Data Science 86

Data Science Deep Learning Data-driven IT 86

CIO Business Intelligence

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect.

Machine Learning 111

Machine Learning Forecasting Recreation/Entertainment Metrics 111

AWS Big Data

AUGUST 12, 2024

You can also use the list-recommendations command in the AWS Command Line Interface (AWS CLI) to invoke the Advisor recommendations from the command line and automate the workflow through scripts. About the authors Ranjan Burman is an Analytics Specialist Solutions Architect at AWS.

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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. We announced our new features and capabilities during AWS re:Invent 2023, as is our custom every year.

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Data Lake Metadata Data Governance Statistics 119