AWS Big Data

JANUARY 24, 2024

Each storage format implements this functionality in slightly different ways; for a comparison, refer to Choosing an open table format for your transactional data lake on AWS. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

Snapshot 100

Snapshot Data Lake Metadata Optimization 100

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 96

Metadata Metrics Testing Management 96

CIO Business Intelligence

OCTOBER 13, 2023

They understand data modeling, including conceptualization and database optimization, and demonstrate a commitment to continuing education. According to Dataversity , good data architects have a solid understanding of the cloud, databases, and the applications and programs used by those databases.

Data Architecture 125

Data Architecture Data Warehouse Statistics Visualization 125

AWS Big Data

APRIL 2, 2024

You can see the decompressed data has metadata information such as logGroup , logStream , and subscriptionFilters , and the actual data is included within the message field under logEvents (the following example shows an example of CloudTrail events in the CloudWatch Logs). Select Turn on message extraction for the Splunk destination.

Metadata 86

Metadata Marketing Analytics Data Transformation 86

Ontotext

JANUARY 29, 2024

These will include developing a better understanding of AI, recognizing the role semantic metadata plays in data fabrics, and the rapid acceleration and adoption of knowledge graphs — which will be driven by large language models (LLMs) and the convergence of labeled property graphs (LPGs) and resource description frameworks (RDFs).

Strategy 52

Strategy Management Metadata Data-driven 52

AWS Big Data

MAY 31, 2024

This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. Based on metadata, content is returned from Amazon S3 to the user.

Metadata 107

Metadata Management Testing Data-driven 107

AWS Big Data

APRIL 25, 2024

Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows. Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. A VPC gateway endpointto Amazon S3.

Metadata 104

Metadata Data Processing Management Testing 104

Ontotext

JUNE 27, 2019

For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. In this experiment, we will show high-scalability when the articles/creative works are stored in MongoDB and all reference/true graph data in GraphDB.

Metadata 40

Metadata Management Optimization Enterprise 40

Ontotext

JUNE 27, 2019

GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. Optimizing for speed. Prerequisites. So far so good. Ontotext GraphDB.

Metadata 40

Metadata Management Enterprise Optimization 40

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

APRIL 19, 2023

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. Generate Spark SQL metadata Our batch job consists of Hive steps scheduled to run sequentially.

Metadata 80

Metadata Testing Data Lake Consulting 80

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

CIO Business Intelligence

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. We refer to this concept as outside-in data movement. Cold storage is optimized to store infrequently accessed or historical data. Let’s look at an example use case.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113

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 118

Data Lake Data Processing Metadata Snapshot 118

AWS Big Data

MARCH 18, 2024

When a query runs on a federated data source using a connector, Athena invokes multiple AWS Lambda functions to read from the data sources in parallel to optimize performance. Refer to Using Amazon Athena Federated Query for further details. The AWS Glue Data Catalog holds the metadata for Amazon S3 and GCS data.

Data Lake 100

Data Lake Analytics Cost-Benefit Management 100

AWS Big Data

JUNE 5, 2024

With cost-effective storage classes and user-friendly management features, you can optimize costs, organize data, and configure fine-tuned access controls to meet specific business, organizational, and compliance requirements. The direct query connection relies on the metadata in Glue Data Catalog tables to query data stored in Amazon S3.

Data Lake 73

Data Lake Cost-Benefit Dashboards Visualization 73

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes. Data repositories represent the hub.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

AWS Big Data

MAY 24, 2024

The connector is built using the latest Spark Data Sources API V2, which uses Spark optimizations. For using it with other Apache Spark platforms, the connector is available as a public JAR file that can be directly referred to while submitting a Spark Structured Streaming job. Starting with Amazon EMR 7.1, amazonaws.com").option("kinesis.startingposition",

Metadata 91

Metadata Interactive Business Objectives Management 91

AWS Big Data

NOVEMBER 6, 2023

Refer to the Configuration reference in the User Guide for detailed configuration values. To learn more about Setup and Teardown tasks, refer to the Apache Airflow documentation. For a complete list of installed packages and their versions, refer to this MWAA documentation. The following diagram describes the process.

Metrics 103

Metrics Metadata Snapshot Management 103

AWS Big Data

JUNE 15, 2023

AWS Glue crawlers extract the data schema and partitions from Amazon S3 to automatically populate the Data Catalog, keeping the metadata current. Today, AWS Glue crawler support has been expanded to automatically add partition indexes for newly discovered tables to optimize query processing on the partitioned dataset.

Data Lake 88

Data Lake Metadata Cost-Benefit Management 88

AWS Big Data

AUGUST 21, 2023

This solution uses an AWS Lambda function to extract storage and shard distribution metadata from your OpenSearch Service domain, calculates the level of skew, and then pushes this information to CloudWatch metrics so that you can easily monitor, alert, and respond.

Metrics 91

Metrics Testing Strategy Metadata 91

AWS Big Data

NOVEMBER 22, 2023

These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings. The data lake performance optimization is especially important for queries with multiple joins and that is where cost-based optimizers helps the most.

Statistics 101

Statistics Data Lake Optimization Data-driven 101

Alation

SEPTEMBER 21, 2021

Compare this story to what we have today: smartphones with traffic navigation apps that provide us with turn-by-turn directions that continuously try to find the optimal path based on traffic conditions on the route being traveled. At IDC, we refer to data-native workers as a generation, Generation Data, or Gen-D for short.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

datapine

SEPTEMBER 29, 2022

Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose. While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

MARCH 25, 2024

Tags are key-value metadata that can be associated with AWS service resources. For a list of Region availability, refer to AWS Services by Region. She is passionate about new technologies and focused on helping customers achieve cost optimization and operational excellence.

Management 83

Management Metadata Reporting Big Data 83

Cloudera

JANUARY 19, 2024

It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. Please refer to the product documentation for more information about specific releases. This will expand the SQL AI toolbar with buttons to generate, edit, explain, optimize and fix SQL statements.

Data Warehouse 74

Data Warehouse Data Processing Optimization Modeling 74

IBM Big Data Hub

NOVEMBER 3, 2023

References UI and CLI CLI and Terraform CLI and Terraform— Instance , TLS Secret and Opaque Secret Scroll to view full table Configuring a multi-tenant microservices environment in IBM Cloud Let’s dive into a practical scenario. v1 kind: Ingress metadata: annotations: kubernetes.io/ingress.class: Delete an ALB.

Data Processing 70

Data Processing Metadata Management Testing 70

AWS Big Data

JANUARY 8, 2024

Refer to Amazon Kinesis Data Streams integrations for additional details. Stream Processing – An application created with Amazon Managed Service for Apache Flink can read the records from the data stream to detect and clean any errors in the time series data and enrich the data with specific metadata to optimize operational analytics.

Analytics 113

Analytics IoT Data-driven Snapshot 113

Cloudera

OCTOBER 15, 2021

Apache Ozone has added a new feature called File System Optimization (“FSO”) in HDDS-2939. With FSO, Apache Ozone guarantees atomic directory operations, and renaming or deleting a directory is a simple metadata operation even if the directory has a large set of sub-paths (directories/files) within it. Conclusion. Further Reading.

Testing 89

Testing Measurement Optimization Metadata 89

Cloudera

JULY 14, 2023

They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files. You could optimize your table now or at a later stage using the “rewrite_data_files” procedure. Hive creates Iceberg’s metadata files for the same exact table.

Snapshot 72

Snapshot Metadata Data Warehouse Testing 72

Ontotext

MARCH 29, 2021

Vassil Momtchev: RDF-star (formerly known as RDF*) helps in every case, where the user needs to express a complex relationship with metadata associated for a triple like: 1. << Technically speaking, RDF-star is the syntactic sugar, which makes it easier to attach metadata to edges in the graph. source :TheNationalEnquirer ; 3.

Metadata 59

Metadata IT Modeling Experimentation 59

AWS Big Data

NOVEMBER 16, 2023

Data Vault overview For a brief review of the core Data Vault premise and concepts, refer to the first post in this series. For more information, refer to Amazon Redshift database encryption. String-optimized compression The Data Vault 2.0 If you use AWS KMS, you can either use an AWS managed key or customer managed key.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Capture and document model metadata for report generation. Increase trust in AI outcomes.

Risk 71

Risk Modeling Management Metadata 71

AWS Big Data

MAY 16, 2024

With the new REST API, you can now invoke DAG runs, manage datasets, or get the status of Airflow’s metadata database, trigger, and scheduler—all without relying on the Airflow web UI or CLI. Refer to Creating an Apache Airflow web login token for more details. For this example, we set the upper limit to 5 and lower limit to 2.

Testing 89

Testing Interactive Metrics Management 89

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

MARCH 25, 2024

To learn more about RAG, refer to Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart. Change data capture (CDC) events contain information about the source record, updates, and metadata such as time, source, classification (insert, update, or delete), and the initiator of the change.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90