article thumbnail

Accelerate your migration to Amazon OpenSearch Service with Reindexing-from-Snapshot

AWS Big Data

Each Lucene index (and, therefore, each OpenSearch shard) represents a completely independent search and storage capability hosted on a single machine. How RFS works OpenSearch and Elasticsearch snapshots are a directory tree that contains both data and metadata. The following is an example for the structure of an Elasticsearch 7.10

article thumbnail

Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg

AWS Big Data

format(dbname, table_name)) except Exception as ex: print(ex) failed_table = {"table_name": table_name, "Reason": ex} unprocessed_tables.append(failed_table) def get_table_key(host, port, username, password, dbname): jdbc_url = "jdbc:sqlserver://{0}:{1};databaseName={2}".format(host, To start the job, choose Run. format(dbname)).config("spark.sql.catalog.glue_catalog.catalog-impl",

Data Lake 105
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau. This process is shown in the following figure.

IoT 109
article thumbnail

Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job

AWS Big Data

Next, we focus on building the enterprise data platform where the accumulated data will be hosted. Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products. The enterprise data platform is used to host and analyze the sales data and identify the customer demand.

Sales 113
article thumbnail

How BMW streamlined data access using AWS Lake Formation fine-grained access control

AWS Big Data

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 101
article thumbnail

Key Takeaways from AWS re:Invent 2024

Cloudera

Finally, we hosted a hands-on workshop to walk attendees through a Retrieval-Augmented Generation (RAG) workflow within Cloudera AI to show how easy it is to deploy contextualized models based on organizational data. This year, it seemed the table format needed no introduction. During the partner keynote at AWS re:Invent, Dr.

article thumbnail

Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

After you create the asset, you can add glossaries or metadata forms, but its not necessary for this post. Delete the S3 bucket that hosted the unstructured asset. Enter a name for the asset. For Asset type , choose S3 object collection. For S3 location ARN , enter the ARN of the S3 prefix. Delete the Lambda function.