AWS Big Data

JULY 17, 2023

With OpenSearch Ingestion, you can filter, enrich, transform, and deliver your data for downstream analysis and visualization. OpenSearch Ingestion is serverless, so you don’t need to worry about scaling your infrastructure, operating your ingestion fleet, and patching or updating the software. Let’s explore each step in more detail.

Management 74

Management Analytics Data Processing Metrics 74

AWS Big Data

OCTOBER 12, 2023

With EMR Serverless, you don’t have to configure, optimize, secure, or operate clusters to run applications with these frameworks. You can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements.

Big Data 105

Big Data Data-driven Management Visualization 105

AWS Big Data

MARCH 21, 2024

They have to reliably capture, process, analyze, and load the data into a myriad of data stores, all in real time. You risk under-provisioning for peak traffic, which can lead to downtime, or over-provisioning for base load, leading to wastage. The following diagram shows how you can build this end-to-end serverless application.

Data Lake 94

Data Lake Management Modeling Optimization 94

AWS Big Data

NOVEMBER 13, 2023

In this post, we show how you can connect your applications to MSK clusters with minimal code changes using the open-sourced client helper libraries and code samples for popular languages, including Java , Python , Go , JavaScript , and. IAM access control via cluster policy helps you manage all access to the cluster and topics in one place.

Testing 92

Testing Management Consulting IT 92

AWS Big Data

MARCH 4, 2024

New partitions can be added in a fully compatible way without downtime or having to rewrite existing data files. By allowing for painless schema and partition adjustments as data insights evolve, you can benefit from the future-proof flexibility needed for business success. In the Review section, review the values you entered.

Snapshot 110

Snapshot Data Lake Metadata Recreation/Entertainment 110

AWS Big Data

APRIL 10, 2024

Solution overview To create a zero-ETL integration, you specify an Amazon Aurora PostgreSQL-Compatible Edition cluster (compatible with PostgreSQL 15.4 For Amazon Redshift, make sure that you choose the preview_2023 track in order to use zero-ETL integrations. Configure the required permissions. Create the zero-ETL integration.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

AWS Big Data

JULY 20, 2023

Because Apache Hive was built on top of Apache Hadoop, many organizations have been using the software from the time they have been using Hadoop for big data processing. Therefore, organizations have come to host huge volumes of metadata of their structured datasets in the Hive metastore.

Data Lake 79

Data Lake Metadata Data Processing Big Data 79

AWS Big Data

APRIL 28, 2023

You can now use Amazon Managed Streaming for Apache Kafka (Amazon MSK) multi-VPC private connectivity (powered by AWS PrivateLink ) and cluster policy support for MSK clusters to simplify connectivity of your Kafka clients to your brokers. You can’t use this connectivity pattern when there are overlapping IPv4 or IPv6 CIDR blocks in the VPCs.

Management 91

Management Cost-Benefit Data Processing Consulting 91

AWS Big Data

AUGUST 16, 2023

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. The Iceberg catalog helps you manage a collection of Iceberg tables and tracks the table’s current metadata.

Data Lake 77

Data Lake Metadata Snapshot Management 77

AWS Big Data

DECEMBER 12, 2023

You can use EMR Serverless to run Spark jobs on the data, and use Amazon MWAA to manage the workflows and dependencies between these jobs. You can use standard SQL to interact with data. EMR Serverless automatically scales up or down based on the workload, so you don’t need to worry about provisioning or managing any infrastructure.

Data Processing 87

Data Processing Management Statistics Interactive 87

AWS Big Data

APRIL 25, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. This is done by invoking AWS Glue ETL jobs and writing to data objects in a Redshift Serverless cluster in Account B.

Metadata 72

Metadata Data Processing Management Testing 72

AWS Big Data

JANUARY 2, 2024

It also emits Amazon CloudWatch metrics to help you better monitor and troubleshoot the streaming process. In order to present the key points required for this setup, we assume that you are familiar with Amazon ECS and working with containers. This command is installed when you run the yum install aws-kinesis-agent step.

Testing 92

Testing Data Processing Metrics Publishing 92

AWS Big Data

JANUARY 24, 2024

As data lakes have grown in size and matured in usage, a significant amount of effort can be spent keeping the data consistent with business events. In this post, we show you how to use Spark SQL in Amazon Athena notebooks and work with Iceberg, Hudi, and Delta Lake table formats.

Snapshot 98

Snapshot Data Lake Metadata Optimization 98

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

AWS Big Data

JUNE 2, 2023

In this post, we show you how to use AWS native services to accelerate your migration from Google BigQuery to Amazon Redshift. The workflow contains the following steps: A configuration file is uploaded to an S3 bucket you have chosen for this solution. After the tables have been migrated, checks for errors and exits.

Metadata 108

Metadata Data Warehouse Big Data Testing 108

Ontotext

FEBRUARY 28, 2023

Beyond simple RBAC user management, which GraphDB fully supports, you may need to make sure users have some specific permissions. You can achieve logical and physical separation, but you should do this without nested repositories. Then you can make cross-repository requests using standard SPARQL or FedX federation.

Experimentation 52

Experimentation Management Enterprise IT 52

AWS Big Data

APRIL 3, 2024

In this post, we discuss the latest features of Amazon DataZone for data quality, the integration between Amazon DataZone and AWS Glue Data Quality and how you can import data quality scores produced by external systems into Amazon DataZone via API. Amazon DataZone data assets can be updated at varying frequencies.

Data Quality 87

Data Quality Visualization Metadata Metrics 87

Ontotext

JANUARY 31, 2023

ONTOTEXT ANSWER: As you are most likely well aware, GraphDB has support for RBAC. You can enable read and write permissions on the repository level. Besides this, you can also fine-tune permissions on different REST APIs. If that is the case, you should also let us know about the vulnerability.

Visualization 52

Visualization Management IT 52

AWS Big Data

NOVEMBER 21, 2023

Push-based sources, however, stream records directly to ingestion endpoints, and typically don’t have a means of persisting data once it is generated. You can use persistent buffering to ingest data for all push-based sources supported by Amazon OpenSearch Ingestion without the need to set up a standalone buffer.

Metrics 92

Metrics Management Technology IT 92

AWS Big Data

JANUARY 8, 2024

With Kinesis Data Streams, you can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time. It provides the ability to collect data from tens of thousands of data sources and ingest in real time.

Analytics 111

Analytics IoT Data-driven Snapshot 111

IBM Big Data Hub

APRIL 24, 2024

While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk. LLMs accept and respond to natural-language instructions, which means developers don’t have to write any code to program LLM-powered apps. What are prompt injection attacks, and why are they a problem?

Risk 66

Risk Modeling Measurement Enterprise 66

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data. Example Corp.

Data Lake 111

Data Lake Analytics Dashboards Metrics 111

AWS Big Data

NOVEMBER 17, 2023

To make this data accessible to data analysts and other consumers, you can use Amazon Athena. Athena is a serverless, interactive service that allows you to query data from a variety of sources in heterogeneous formats, with no provisioning effort. You don’t need to write any code.

Visualization 81

Visualization Metadata Testing Internet of Things 81

AWS Big Data

MARCH 13, 2024

Additionally, you can use AWS Lambda to enrich incoming location data with data from other sources, such as an Amazon DynamoDB table containing vehicle maintenance details. Distanced-based filtering ignores location updates in which devices have moved less than 30 meters (98.4

Analytics 92

Analytics IoT Metadata Internet of Things 92

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. In November 2022, Lake Formation introduced version 3 of its cross-account sharing feature.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

Cloudera

NOVEMBER 10, 2021

Having access to the right set of information helps users in preparing ahead of time and removing any hurdles in the upgrade process. As suggested above, Sentry and Ranger are completely different products and have major differences in their architecture and implementations. Sentry to Ranger – A few behavioral changes.

Data Lake 75

Data Lake Management Metadata Modeling 75

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Analytics use cases on data lakes are always evolving.

Data Lake 100

Data Lake Metadata Snapshot Recreation/Entertainment 100

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. Refer to Set up alerts and orchestrate data quality rules with AWS Glue Data Quality ) The Lambda function writes the AWS Glue Data Quality result to an Amazon Simple Storage Service (Amazon S3) bucket.

Data Quality 70

Data Quality Metrics Visualization Dashboards 70

AWS Big Data

NOVEMBER 16, 2023

With the click of a button, you can configure Amazon Redshift to encrypt data at rest at any point in a data warehouse’s lifecycle, as shown in the following screenshot. You can use either AWS Key Management Service (AWS KMS) or Hardware Security Module (HSM) to perform encryption of data at rest.

Enterprise 82

Enterprise Data Warehouse Snapshot Cost-Benefit 82

AWS Big Data

OCTOBER 18, 2023

You can start with just a few hundred gigabytes of data and scale to a petabyte or more. We recommend you use Secrets Manager for storing Amazon Redshift user credentials because it allows you to configure safer secret rotation, customize fine-grained access control, and audit and monitor secrets centrally.

Snapshot 82

Snapshot Management Data Warehouse Dashboards 82

AWS Big Data

JUNE 19, 2023

In this post, we walk you through the step-by-step implementation of setting up Kafka quotas in an MSK cluster while using IAM access control and testing them through sample client applications. Prerequisites It is recommended that you read Part 1 of this series before continuing. Rerun the applications after setting the quotas.

Metrics 73

Metrics Management Testing Publishing 73

AWS Big Data

APRIL 4, 2024

aws/config to use the IAM role and user Deploy the solution To make it straightforward for you to get started, we have created a CloudFormation template that automatically configures and deploys the solution for you. Outputs Run the AWS Glue crawler and verify that six tables have been created in the Data Catalog.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

AWS Big Data

JANUARY 12, 2024

With the ability to move fast on AWS, you also need to be responsible with the data you’re receiving and processing as you continue to scale. We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens.

Data Lake 92

Data Lake Cost-Benefit Visualization Structured Data 92

AWS Big Data

MARCH 23, 2023

AWS Lake Formation allows you to define and enforce database, table, and column-level access policies to query Iceberg tables stored in Amazon S3. This capability requires that you upgrade to Athena engine version 3. Large organizations often have lines of businesses (LoBs) that operate with autonomy in managing their business data.

Interactive 67

Interactive Snapshot Data Lake Software 67

AWS Big Data

APRIL 27, 2023

When you use OpenSearch Ingestion, you don’t need to maintain self-managed data pipelines to ingest logs, traces, metrics, and other data with OpenSearch Service. OpenSearch Service gives you a native toolset to store and analyze large volumes of log, metric, and trace data. We use this feature to create a trace pipeline.

Strategy 77

Strategy Metrics Data Processing Optimization 77

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 108

Optimization Snapshot Data Lake Metadata 108

AWS Big Data

APRIL 17, 2024

For example, you can build visualizations on top of Amazon Redshift and embed them within applications to provide outstanding analytics experiences for end-users. With this feature, customers get instant insights in their Redshift data warehouse without having to write extract, transform, and load (ETL) pipelines to ingest the data.

Data Warehouse 93

Data Warehouse Analytics Cost-Benefit Modeling 93