AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

Snapshot 101

Snapshot Data Lake Metadata Optimization 101

AWS Big Data

NOVEMBER 17, 2023

DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools. The scalability and flexible data schema of DynamoDB make it well-suited for a variety of use cases. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights.

Visualization 84

Visualization Metadata Testing Internet of Things 84

Ontotext

AUGUST 22, 2023

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. As a result, organizations have spent untold money and time gathering and integrating data.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

AWS Big Data

FEBRUARY 29, 2024

Data discoverability Unlike structured data, which is managed in well-defined rows and columns, unstructured data is stored as objects. For users to be able to discover and comprehend the data, the first step is to build a comprehensive catalog using the metadata that is generated and captured in the source systems.

Data Governance 96

Data Governance Unstructured Data Metadata Data Lake 96

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 110

Optimization Snapshot Data Lake Metadata 110

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 97

Metadata Metrics Testing Management 97

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The script generates a metadata JSON file for each step.

Metadata 81

Metadata Testing Data Lake Consulting 81

AWS Big Data

MARCH 4, 2024

Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture. For instance, an ecommerce marketplace may initially partition order data by day. Lake Formation helps you centrally manage, secure, and globally share data for analytics and machine learning.

Snapshot 113

Snapshot Data Lake Metadata Recreation/Entertainment 113

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

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

JULY 27, 2023

We also walk through using PartiQL in Amazon Redshift to unnest nested JSON documents and build fact and dimension tables that are used in your data warehouse refresh. The solution uses Kinesis Data Streams to capture item-level changes from an application DynamoDB table. For instructions, refer to Create a workgroup with a namespace.

Data Warehouse 85

Data Warehouse Analytics Metadata Dashboards 85

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).

Metadata 87

Metadata Marketing Analytics Data Transformation 87

AWS Big Data

MAY 24, 2024

Apache Spark is a powerful big data engine used for large-scale data analytics. You can use Apache Spark to process streaming data from a variety of streaming sources, including Amazon Kinesis Data Streams for use cases like clickstream analysis, fraud detection, and more. Starting with Amazon EMR 7.1,

Metadata 92

Metadata Interactive Business Objectives Management 92

datapine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? Why Do You Need Data Quality Management? 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

JUNE 15, 2023

AWS Glue crawlers provide a straightforward way to catalog data in the AWS Glue Data Catalog that removes the heavy lifting when it comes to schema management and data classification. AWS Glue crawlers extract the data schema and partitions from Amazon S3 to automatically populate the Data Catalog, keeping the metadata current.

Data Lake 89

Data Lake Metadata Cost-Benefit Management 89

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Iceberg captures metadata information on the state of datasets as they evolve and change over time. For more details, refer to Creating Apache Iceberg tables.

Data Lake 80

Data Lake Metadata Snapshot Management 80

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 101

Data Lake Analytics Cost-Benefit Management 101

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. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 119

Data Lake Data Processing Metadata Snapshot 119

AWS Big Data

AUGUST 3, 2023

This feature lets users query AWS Glue databases and tables in one Region from another Region using resource links, without copying the metadata in the Data Catalog or the data in Amazon Simple Storage Service (Amazon S3). A resource link is a Data Catalog object that is a link to a database or table.

Data Lake 87

Data Lake Metadata Management Data Processing 87

AWS Big Data

MAY 31, 2024

The Lambda function queries OpenSearch Serverless and returns the metadata for the search. Based on metadata, content is returned from Amazon S3 to the user. In the following sections, we walk you through the steps to deploy the solution, ingest data, and test the solution.

Metadata 108

Metadata Management Testing Data-driven 108

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. About the Authors Chinmayi Narasimhadevara is a is a Solutions Architect focused on Big Data and Analytics at Amazon Web Services.

Management 84

Management Metadata Reporting Big Data 84

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. 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.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

AWS Big Data

AUGUST 15, 2023

We deploy a Lambda function data source connector to connect AWS with Google Cloud Provider. We reference the secret in Secrets Manager in the Lambda function so we can run a query on AWS and it can access the data stored on Google Cloud Provider. For complete steps, refer to Creating a VPC for a data source connector.

Recreation/Entertainment 89

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 89

AWS Big Data

FEBRUARY 12, 2024

We automate running queries using Step Functions with Amazon EventBridge schedules, build an AWS Glue Data Catalog on query outputs, and publish dashboards using QuickSight so they automatically refresh with new data. When the status changes to SUCCESS, it proceeds to the next step to retrieve the AWS Glue table metadata information.

Publishing 92

Publishing Dashboards Metadata Visualization 92

AWS Big Data

JULY 20, 2023

The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table. Apache Hive, Apache Spark, Presto, and Trino can all use a Hive Metastore to retrieve metadata to run queries.

Data Lake 82

Data Lake Metadata Data Processing Big Data 82

AWS Big Data

MAY 4, 2023

For more information, refer to Guidance for Distributed Computing with Cross Regional Dask on AWS and the GitHub repo for open-source code. Data scientists have access to the Jupyter notebook hosted on SageMaker. The OpenSearch Service domain stores metadata on the datasets connected at the Regions.

Data Processing 95

Data Processing Metadata Informatics Interactive 95

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 104

Metrics Metadata Snapshot Management 104

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. CBO optimizes based on table statistics stored in the AWS Glue Data Catalog. He has been working on query optimizers for over a decade.

Optimization 113

Optimization Statistics Metadata Data Lake 113

AWS Big Data

MARCH 7, 2024

The analyzed and aggregated data stored in Amazon OpenSearch Service can again be moved to the data lake to run ML algorithms for downstream consumption from applications. We refer to this concept as outside-in data movement. You can reattach these indexes in a few seconds when you need to query that data.

Data Lake 114

Data Lake Analytics Dashboards Metrics 114

erwin

JANUARY 24, 2019

With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. In data governance terms, an automation framework refers to a metadata-driven universal code generator that works hand in hand with enterprise data mapping for: Pre-ETL enterprise data mapping.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

AWS Big Data

JUNE 5, 2024

Fundamental concepts After configuring a direct query connection, you’ll need to create tables in the AWS Glue Data Catalog using the OpenSearch Service Query Workbench. The direct query connection relies on the metadata in Glue Data Catalog tables to query data stored in Amazon S3.

Data Lake 71

Data Lake Cost-Benefit Dashboards Visualization 71

AWS Big Data

APRIL 3, 2024

If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. option("header", "true").option("inferSchema",

Data Quality 90

Data Quality Visualization Metadata Metrics 90

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.

Data Lake 83

Data Lake Data Governance Data Architecture Machine Learning 83

AWS Big Data

JANUARY 8, 2024

For security, Kinesis Data Streams provide server-side encryption so you can meet strict data management requirements by encrypting your data at rest and Amazon Virtual Private Cloud (VPC) interface endpoints to keep traffic between your Amazon VPC and Kinesis Data Streams private.

Analytics 114

Analytics IoT Data-driven Snapshot 114

Rocket-Powered Data Science

MARCH 10, 2020

The book is awesome, an absolute must-have reference volume, and it is free (for now, downloadable from Neo4j ). Any node and its relationship to a particular node becomes a type of contextual metadata for that particular note. Graph Algorithms book. Context may include time, location, related events, nearby entities, and more.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

AWS Big Data

JUNE 5, 2023

If you also needed to preserve the history of DAG runs, you had to take a backup of your metadata database and then restore that backup on the newly created environment. Amazon MWAA manages the entire upgrade process, from provisioning new Apache Airflow versions to upgrading the metadata database.

Snapshot 77

Snapshot Metadata Testing Data-driven 77

AWS Big Data

APRIL 8, 2024

Prior to this integration, you had to complete the following steps before Amazon DataZone could treat the published Data Catalog table as a managed asset: Identity the Amazon S3 location associated with Data Catalog table. Publish the table metadata to the Amazon DataZone business data catalog.

Finance 78

Finance Sales Publishing Metadata 78