AWS Big Data

SEPTEMBER 12, 2024

The AWS Glue Data Catalog now enhances managed table optimization of Apache Iceberg tables by automatically removing data files that are no longer needed. Along with the Glue Data Catalog’s automated compaction feature, these storage optimizations can help you reduce metadata overhead, control storage costs, and improve query performance.

Optimization 129

Optimization Snapshot Metadata Metrics 129

AWS Big Data

NOVEMBER 7, 2024

With Amazon Q, you can spend less time worrying about the nuances of SQL syntax and optimizations, allowing you to concentrate your efforts on extracting invaluable business insights from your data. Refer to Easy analytics and cost-optimization with Amazon Redshift Serverless to get started.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

Smart Data Collective

SEPTEMBER 29, 2022

Each data point is linked to its reference. Optimize your time. Upon receipt by the OCR application, the image is optimized and converted into a plain text file. The post Data-Driven Companies Leverage OCR for Optimal Data Quality appeared first on SmartData Collective. You can now save it in your database.

Data-driven 145

Data-driven Data Quality Optimization Insurance 145

Rocket-Powered Data Science

JUNE 17, 2022

The dominant references everywhere to Observability was just the start of awesome brain food offered at Splunk’s.conf22 event. Reference ) The latest updates to the Splunk platform address the complexities of multi-cloud and hybrid environments, enabling cybersecurity and network big data functions (e.g., is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

CIO Business Intelligence

JANUARY 1, 2025

Referring to the latest figures from the National Institute of Statistics, Abril highlights thatin the last five years, technological investment within the sector has grown more than 40%. In addition, Abril highlights specific benefits gained from applying new technologies.

Strategy 115

Strategy Digital Transformation Optimization Technology 115

AWS Big Data

OCTOBER 3, 2023

Systems of this nature generate a huge number of small objects and need attention to compact them to a more optimal size for faster reading, such as 128 MB, 256 MB, or 512 MB. For more information on streaming applications on AWS, refer to Real-time Data Streaming and Analytics. We use the Hive catalog for Iceberg tables.

Optimization 126

Optimization Snapshot Data Lake Metadata 126

AWS Big Data

FEBRUARY 20, 2024

Managed AWS Analytics and Database services allow for each component of the solution, from ingestion to analysis, to be optimized for speed, with little management overhead. Missed opportunities could impact operational efficiency, customer satisfaction, or product innovation.

Visualization 124

Visualization Cost-Benefit Optimization B2B 124

AWS Big Data

JULY 11, 2024

Amazon OpenSearch Service introduced the OpenSearch Optimized Instances (OR1) , deliver price-performance improvement over existing instances. For more details about OR1 instances, refer to Amazon OpenSearch Service Under the Hood: OpenSearch Optimized Instances (OR1). OR1 instances use a local and a remote store.

Optimization 115

Optimization Metrics Data Processing Snapshot 115

AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

Optimization 130

Optimization Statistics Metadata Data Lake 130

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. You can refer to this metadata layer to create a mental model of how Icebergs time travel capability works.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. See additional references and resources at the end of this article. Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win! Summary AI devours data.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

AWS Big Data

NOVEMBER 6, 2024

This workload imbalance presents a challenge for customers seeking to optimize their resource utilization and stream processing efficiency. reduces the Amazon DynamoDB cost associated with KCL by optimizing read operations on the DynamoDB table storing metadata. x benefits, refer to Use features of the AWS SDK for Java 2.x.

Cost-Benefit 116

Cost-Benefit Metadata Optimization Publishing 116

AWS Big Data

APRIL 24, 2025

Bob now knows that he can quickly build Amazon QuickSight dashboards with queries that are optimized using Redshifts cost-based optimizer. For more details, refer to Tags for AWS Identity and Access Management resources and Pass session tags in AWS STS. For instructions, refer to Data analyst permissions.

Sales 86

Sales Data Lake Management Data-driven 86

AWS Big Data

DECEMBER 12, 2024

Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. Referring to the data dictionary and screenshots, its evident that the complete data lineage information is highly dispersed, spread across 29 lineage diagrams. where(outV().as('a')),

Snapshot 96

Snapshot Recreation/Entertainment Experimentation Data Lake 96

AWS Big Data

NOVEMBER 7, 2024

The BladeBridge conversion process is optimized to work with each database object (for example, tables, views, and materialized views) and code object (for example, stored procedures and functions) stored in its own separate SQL file. For more details, refer to the BladeBridge Analyzer Demo.

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

AWS Big Data

MARCH 19, 2024

In this post, we will discuss two strategies to scale AWS Glue jobs: Optimizing the IP address consumption by right-sizing Data Processing Units (DPUs), using the Auto Scaling feature of AWS Glue, and fine-tuning of the jobs. Now let us look at the first solution that explains optimizing the AWS Glue IP address consumption.

Optimization 115

Optimization Data-driven Management Testing 115

AWS Big Data

APRIL 8, 2025

We will also cover the pattern with automatic compaction through AWS Glue Data Catalog table optimization. Consider a streaming pipeline ingesting real-time event data while a scheduled compaction job runs to optimize file sizes. For more detailed configuration, refer to Write properties in the Iceberg documentation.

Snapshot 136

Snapshot Management Metadata Big Data 136

Rocket-Powered Data Science

FEBRUARY 12, 2021

In the rest of this article, we will refer to IPA as intelligent automation (IA), which is simply short-hand for intelligent process automation. Process automation is relatively clear – it refers to an automatic implementation of a process, specifically a business process in our case. Sound similar?

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

AWS Big Data

NOVEMBER 19, 2024

Customers maintain multiple MWAA environments to separate development stages, optimize resources, manage versions, enhance security, ensure redundancy, customize settings, improve scalability, and facilitate experimentation. Refer to Amazon Managed Workflows for Apache Airflow Pricing for rates and more details.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

AWS Big Data

AUGUST 7, 2024

In this post, we examine the OR1 instance type, an OpenSearch optimized instance introduced on November 29, 2023. We optimized the mapping to avoid any unnecessary indexing activity and use the flat_object field type to avoid field mapping explosion. KiB and the bulk size is 4,000 documents per bulk, which makes approximately 6.26

Optimization 114

Optimization Testing Management IT 114

IBM Big Data Hub

NOVEMBER 6, 2023

Explaining API security API security refers to the set of practices and products an organization uses to prevent malicious attacks on, and misuse of, APIs. And since many APIs store and transfer sensitive data, they require robust security protocols and attentive monitoring practices to prevent information from falling into the wrong hands.

Optimization 113

Optimization Testing Software Risk 113

AWS Big Data

DECEMBER 27, 2024

Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. This is a further 32% increase from the optimizations shipped in Amazon EMR 7.1 Refer to Configure the AWS CLI for instructions. with Iceberg 1.6.1 times faster than Apache Spark 3.5.1

Cost-Benefit 105

Cost-Benefit Testing Metrics Optimization 105

AWS Big Data

JUNE 3, 2024

If you are just starting with Kinesis Data Streams, we recommend referring to the Developer Guide. Conclusion You should now have a solid understanding of the common causes of write throughput exceeded errors in Kinesis data streams, how to diagnose them, and what actions to take to appropriately deal with them.

Optimization 126

Optimization Metrics Data Processing Testing 126

AWS Big Data

NOVEMBER 22, 2024

Maintaining reusable database sessions to help optimize the use of database connections, preventing the API server from exhausting the available connections and improving overall system scalability. Please refer to Redshift Quotas and Limits here. After 24 hours the session is forcibly closed, and in-progress queries are terminated.

Data Warehouse 105

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 105

Cloudera

JANUARY 7, 2025

While multi-cloud generally refers to the use of multiple cloud providers, hybrid encompasses both cloud and on-premises integrations, as well as multi-cloud setups. Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. Why Hybrid and Multi-Cloud?

Cost-Benefit 82

Cost-Benefit Optimization Data-driven Strategy 82

AWS Big Data

APRIL 9, 2025

This supports data hygiene and infrastructure cost optimization. Refer to the product documentation to learn more about how to set up metadata rules for subscription and publishing workflows. Start using this enhanced search capability today and experience the difference it brings to your data discovery journey.

Metadata 108

Metadata Metrics Data-driven Cost-Benefit 108

AWS Big Data

OCTOBER 23, 2024

For more information, refer to Amazon Redshift clusters. However, if you would like to implement this demo in your existing Amazon Redshift data warehouse, download Redshift query editor v2 notebook, Redshift Query profiler demo , and refer to the Data Loading section later in this post.

Data Warehouse 108

Data Warehouse Metrics Broadcasting Dashboards 108

CIO Business Intelligence

APRIL 30, 2025

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. Agentic AI can make sales more effective by handling lead scoring, assisting with customer segmentation, and optimizing targeted outreach, he says.

IT 90

IT Sales Cost-Benefit Data-driven 90

CIO Business Intelligence

DECEMBER 11, 2024

Thats a problem, since building commercial products requires a lot of testing and optimization. An abundance of choice In the most general definition, open source here refers to the code thats available, and that the model can be modified and used for free in a variety of contexts. Finally, theres the price.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

datapine

JULY 11, 2019

However, if you want to enjoy optimal success, gaining a firm grasp of logical judgment and strategic thinking is essential – especially regarding dashboard design principles. This most golden of dashboard design principles refers to both precision and the right audience targeting. Don’t go over the top with real-time data.

Dashboards 319

Dashboards Metrics Visualization Key Performance Indicator 319

DataKitchen

APRIL 28, 2021

Data fabric enthusiasts assert that the design pattern is much more than that and reference one or more emerging data analytics tools: AI augmentation, automation, orchestration, semantic knowledge graphs, self-service, streaming data, composable data analytics, dynamic discovery, observability, persistence layer, caching and more.

Statistics 246

Statistics Optimization Data Analytics Technology 246

datapine

AUGUST 19, 2020

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

AWS Big Data

OCTOBER 30, 2024

Use case Amazon DataZone addresses your data sharing challenges and optimizes data availability. Refer to the detailed blog post on how you can use this to connect through various other tools. This new JDBC connectivity feature enables our governed data to flow seamlessly into these tools, supporting productivity across our teams.”

Analytics 118

Analytics Visualization Data Governance Data-driven 118

DataKitchen

NOVEMBER 5, 2024

For instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables. Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning.

Data Quality 195

Data Quality Testing Metrics Reporting 195

CIO Business Intelligence

JANUARY 14, 2025

Just as state urban development offices monitor the health of different cities and provide targeted guidance based on each citys unique challenges, our portfolio health dashboard offers a comprehensive view that helps guide different business units toward optimal outcomes.

Enterprise 119

Enterprise Technology Metrics Measurement 119

AWS Big Data

OCTOBER 11, 2024

Refer to this developer guide to understand more about index snapshots Understanding manual snapshots Manual snapshots are point-in-time backups of your OpenSearch Service domain that are initiated by the user. Snapshots are not instantaneous. They take time to complete and don’t represent perfect point-in-time views of the domain.

Snapshot 110

Snapshot Dashboards Management Testing 110

CIO Business Intelligence

FEBRUARY 26, 2025

The term refers in particular to the use of AI and machine learning methods to optimize IT operations. The legacy challenge It is a paradox of IT infrastructure that unlike startups, which can simply start from scratch large companies in particular find it more difficult to modernize and optimize, as Marc Schmidt from Avodaq knows.

IT 85

IT Cost-Benefit Optimization Machine Learning 85