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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",

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How ZS built a clinical knowledge repository for semantic search using Amazon OpenSearch Service and Amazon Neptune

AWS Big Data

ZS is a management consulting and technology firm focused on transforming global healthcare. We developed and host several applications for our customers on Amazon Web Services (AWS). We developed and host several applications for our customers on Amazon Web Services (AWS). We’re using different models for different use cases.

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Build SAML identity federation for Amazon OpenSearch Service domains within a VPC

AWS Big Data

Create an Amazon Route 53 public hosted zone such as mydomain.com to be used for routing internet traffic to your domain. For instructions, refer to Creating a public hosted zone. Request an AWS Certificate Manager (ACM) public certificate for the hosted zone. hosted_zone_id – The Route 53 public hosted zone ID.

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Habib Bank manages data at scale with Cloudera Data Platform

Cloudera

Blutech Consulting was selected both by HBL and Cloudera as the implementation partner based on their in-depth technical expertise in the field of data. . Cloudera’s CDP is the only solution that can address the system, hosting, integration and security, enabling us to deploy quickly and easily with minimal impact to operations.”

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Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

The host is Tobias Macey, an engineer with many years of experience. The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Currently, he is in charge of the Technical Operations team at MIT Open Learning. Agile Data.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. This means having the ability to define and relate all types of metadata. Clarify your business and expert requirements.

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Implement a full stack serverless search application using AWS Amplify, Amazon Cognito, Amazon API Gateway, AWS Lambda, and Amazon OpenSearch Serverless

AWS Big Data

The workflow includes the following steps: The end-user accesses the CloudFront and Amazon S3 hosted movie search web application from their browser or mobile device. 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.

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