Cloudera

NOVEMBER 13, 2020

Impala Optimizations for Small Queries. We’ll discuss the various phases Impala takes a query through and how small query optimizations are incorporated into the design of each phase. Query optimization in databases is a long standing area of research, with much emphasis on finding near optimal query plans.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

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 127

Optimization Snapshot Metadata Metrics 127

AWS Big Data

NOVEMBER 7, 2024

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

Ontotext

JUNE 10, 2021

Relational databases benefit from decades of tweaks and optimizations to deliver performance. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. This metadata should then be represented, along with its intricate relationships, in a connected knowledge graph model that can be understood by the business teams”.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

AWS Big Data

APRIL 17, 2024

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

Optimization 128

Optimization Snapshot Metadata Cost-Benefit 128

AWS Big Data

DECEMBER 4, 2024

The adoption of open table formats is a crucial consideration for organizations looking to optimize their data management practices and extract maximum value from their data. An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction. In earlier posts, we discussed AWS Glue 5.0 for Apache Spark.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

NOVEMBER 22, 2024

How RFS works OpenSearch and Elasticsearch snapshots are a directory tree that contains both data and metadata. Metadata files exist in the snapshot to provide details about the snapshot as a whole, the source cluster’s global metadata and settings, each index in the snapshot, and each shard in the snapshot.

Snapshot 95

Snapshot Metadata Recreation/Entertainment Data Processing 95

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. micro, remember to monitor its performance using the recommended metrics to maintain optimal operation.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

Octopai

OCTOBER 18, 2021

First, what active metadata management isn’t : “Okay, you metadata! Now, what active metadata management is (well, kind of): “Okay, you metadata! I will, of course, end up with a very amateurish finished product, because I used sub-optimal tools to do the job. That takes active metadata management.

Metadata 98

Metadata Management IT Data Quality 98

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This post is co-written by Dr. Leonard Heilig and Meliena Zlotos from EUROGATE.

IoT 110

IoT Machine Learning Metadata Data-driven 110

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations.

Optimization 126

Optimization Snapshot Data Lake Metadata 126

Octopai

OCTOBER 11, 2021

Data needs to be accompanied by the metadata that explains and gives it context. Without metadata, data is just a bunch of meaningless, unspecified numbers or words that are about as useful as a bunch of rocks (or shells). And without effective metadata discovery capabilities, metadata isn’t all that useful either.

Metadata 98

Metadata Data Collection Optimization IT 98

AWS Big Data

DECEMBER 17, 2024

First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead. We have enhanced autonomics algorithms to generate and implement smarter and quicker optimal data layout recommendations for distribution and sort keys, further optimizing performance.

Data Lake 95

Data Lake Data Warehouse Data-driven Optimization 95

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. and why it results in higher costs. Other benefits in KCL 3.0

Cost-Benefit 115

Cost-Benefit Metadata Optimization Publishing 115

CIO Business Intelligence

NOVEMBER 19, 2024

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean.

Management 116

Management Unstructured Data Deep Learning Metadata 116

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

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 91

Metadata Data Governance Metrics Marketing 91

AWS Big Data

NOVEMBER 11, 2024

This can help you optimize long-term cost for high-throughput use cases. This includes adding common fields to associate metadata with the indexed documents, as well as parsing the log data to make data more searchable. In general, we recommend using one Kinesis data stream for your log aggregation workload.

Metadata 120

Metadata Metrics Analytics Data Processing 120

Smart Data Collective

AUGUST 25, 2020

Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata. Metadata is important for numerous reasons. Search engines crawl metadata of image files, videos and other visual creative when they are indexing websites.

Data mining 137

Data mining Metadata Big Data ROI 137

AWS Big Data

FEBRUARY 6, 2023

Choose the table to view the schema and other metadata. Conclusion In this post, we showed how to set up an AWS Glue crawler to crawl over a MongoDB Atlas collection, gathering metadata and creating table records in the AWS Glue Data Catalog. Note that the crawler captured nested data as a STRUCT and correctly listed the ARRAY fields.

Metadata 96

Metadata Data Lake Machine Learning Big Data 96

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

SEPTEMBER 11, 2024

Each file arrives as a pair with a tail metadata file in CSV format containing the size and name of the file. This metadata file is later used to read source file names during processing into the staging layer. These files follow the same naming pattern, with a daily system-generated timestamp appended to each file name.

Data Architecture 109

Data Architecture Optimization Data Warehouse Metadata 109

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. The most optimal and streamlined way to achieve this is by using a data catalog, which can provide a first stop for users ahead of working in BI platforms.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

JUNE 10, 2024

Cloudinary is a cloud-based media management platform that provides a comprehensive set of tools and services for managing, optimizing, and delivering images, videos, and other media assets on websites and mobile applications. This concept makes Iceberg extremely versatile.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

FEBRUARY 26, 2025

S3 Tables are specifically optimized for analytics workloads, resulting in up to 3 times faster query throughput and up to 10 times higher transactions per second compared to self-managed tables. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data.

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

Smart Data Collective

AUGUST 5, 2021

Along with the ability to implement ACID transactions and scalable metadata handling, Delta Lakes can also unify the streaming and batch data processing”. . The schema of the metadata is as follows: Column Type Description format string Format of the table, that is, “delta”. Advantages of using Delta Lakes.

Data Processing 143

Data Processing Metadata Broadcasting Statistics 143

AWS Big Data

MARCH 22, 2024

When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. and Athena engine version 2, AWS has been developing query plan and engine behavior optimizations that improve query performance on Trino. Starting from Amazon EMR 6.8.0

Metadata 117

Metadata Statistics Broadcasting Optimization 117

AWS Big Data

OCTOBER 1, 2024

Over the last year, Amazon Redshift added several performance optimizations for data lake queries across multiple areas of query engine such as rewrite, planning, scan execution and consuming AWS Glue Data Catalog column statistics. Some of the queries in our benchmark experienced up to 12x speed up.

Data Lake 115

Data Lake Statistics Broadcasting Optimization 115

AWS Big Data

DECEMBER 5, 2024

As the use of Hydro grows within REA, it’s crucial to perform capacity planning to meet user demands while maintaining optimal performance and cost-efficiency. Capacity monitoring dashboards As part of our platform management process, we conduct monthly operational reviews to maintain optimal performance.

Metrics 94

Metrics Dashboards Testing Optimization 94

TDAN

JANUARY 31, 2023

Data inventory optimization is about efficiently solving the right problem. In this column, we will return to the idea of lean manufacturing and explore the critical area of inventory management on the factory floor.

Optimization 87

Optimization Manufacturing Management Metadata 87

AWS Big Data

NOVEMBER 3, 2023

Although we don’t cover optimizing your jobs for costs in this post, you can refer to Monitor and optimize cost on AWS Glue for Apache Spark to learn how to fine-tune your AWS Glue jobs for performance, efficiency ,and cost-optimization. Let’s dive in! If the tables don’t exist, Athena creates them.

Metrics 113

Metrics Dashboards Metadata Visualization 113

erwin

OCTOBER 8, 2020

With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets. GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

IBM Big Data Hub

DECEMBER 18, 2023

Achieving consistently high performance requires an efficient routing system, optimizing traffic between the services your application depends on. In summary, IBM NS1 Connect offers a range of traffic steering options to meet diverse business needs to help ensure optimal application performance in the “now” era.

Optimization 69

Optimization Metadata Metrics Management 69

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 136

Data Lake Data Processing Metadata Snapshot 136

AWS Big Data

OCTOBER 30, 2024

We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks. Because a CDC file can contain data for multiple tables, the job loops over the tables in a file and loads the table metadata from the source table ( RDS column names).

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

erwin

JANUARY 14, 2021

As the economy slowed, they focused on cost optimization. Even if you don’t have a formal data intelligence program in place, there is a good possibility your organization has intelligence about its data, because it is difficult for data to exist without some form of associated metadata.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143