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

AWS Big Data

APRIL 19, 2023

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. sql_path SQL file name.

Metadata 82

Metadata Testing Data Lake Consulting 82

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. With semantic metadata, enterprise data gets linked to one another and to external sources.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 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

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider. For complete steps, refer to Creating a VPC for a data source connector.

Recreation/Entertainment 90

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 90

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 87

Metadata Interactive Business Objectives Management 87

Ontotext

JANUARY 29, 2024

As companies in almost every market segment attempt to continuously enhance and modernize data management practices to drive greater business outcomes, organizations will be watching numerous trends emerge this year. Sometimes, the challenge is that the data itself often raises more questions than it answers.

Strategy 52

Strategy Management Metadata Data-driven 52

AWS Big Data

MARCH 18, 2024

In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. 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 103

Data Lake Analytics Cost-Benefit Management 103

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 120

Data Lake Data Processing Metadata Snapshot 120

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 106

Metrics Metadata Snapshot Management 106

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 91

Data Quality Visualization Metadata Metrics 91

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform integrates with Amazon Redshift metadata security to implement visibility of data catalog listing of names of databases, schemas, tables, views, stored procedures, and functions in Amazon Redshift. This post discusses restricting listing of data catalog metadata as per the granted permissions.

Metadata 104

Metadata Data Warehouse Analytics Data Analytics 104

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 115

Analytics IoT Data-driven Snapshot 115

Ontotext

JANUARY 26, 2023

These 30 layers can be split into two kinds: a location-reference layer and a topic layer. The authors address the challenge of interoperability in the digitalization of mobility systems and introduce a reference architecture for the Shift2Rail Interoperability Framework (IF). The catalog stores the asset’s metadata in RDF.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

Cloudera

OCTOBER 15, 2021

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. In fact, this gives Apache Ozone a significant performance advantage over other object stores in the data analytics ecosystem.

Testing 87

Testing Measurement Optimization Metadata 87

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. Analytics Architect on Amazon Athena.

Optimization 115

Optimization Statistics Metadata Data Lake 115

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. A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base.

Data Lake 93

Data Lake Unstructured Data Management Modeling 93

Cloudera

SEPTEMBER 28, 2020

The customer leverages Cloudera’s multi-function analytics stack in CDP. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Testing 130

Testing Metadata Risk Data Science 130

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Athena is used to run geospatial queries on the location data stored in the S3 buckets. The ingestion approach is not in scope of this post. Choose Run.

Analytics 97

Analytics IoT Metadata Internet of Things 97

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. She is passionate about data analytics and networking.

Testing 92

Testing Interactive Metrics Management 92

AWS Big Data

JUNE 7, 2023

They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

AWS Big Data

SEPTEMBER 13, 2023

Streaming data has become an indispensable resource for organizations worldwide because it offers real-time insights that are crucial for data analytics. The escalating velocity and magnitude of collected data has created a demand for real-time analytics. This table acts as a metadata layer for the data.

Data Processing 94

Data Processing Management Interactive Metadata 94

Cloudera

JANUARY 19, 2024

Please refer to the product documentation for more information about specific releases. Hallucination: In the context of LLMs, hallucination refers to a phenomenon where these models generate responses that are incorrect, nonsensical, or fabricated. or higher on the public cloud. Both Hive and Impala dialects are supported.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. It shows a call center streaming data source that sends the latest call center feed in every 15 seconds.

Management 108

Management Metadata Analytics Dashboards 108

AWS Big Data

DECEMBER 12, 2023

Use EMR Serverless to transform the data using PySpark code and then store the transformed data back in your S3 bucket. Use Athena to create an external table based on the S3 dataset and run queries to analyze the transformed data. Athena uses the AWS Glue Data Catalog to store the table metadata.

Data Processing 92

Data Processing Management Statistics Interactive 92

Sisense

JULY 24, 2019

Without historical data, facilitating longer NLQ journeys in exploration mode will be somewhat limited at first. Imagine a marine freight company using Captain Cook slang to refer to distances (fathom), weights (draft), and types of goods (treasures) being shipped across oceans. Using AI to its Fullest.

Analytics 89

Analytics Experimentation Metadata Big Data 89

O'Reilly on Data

MARCH 31, 2020

There may even be someone on your team who built a personalized video recommender before and can help scope and estimate the project requirements using that past experience as a point of reference. You might have millions of short videos , with user ratings and limited metadata about the creators or content.

Management 332

Management Machine Learning Experimentation Metrics 332

AWS Big Data

APRIL 2, 2024

Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case. Go to your asset in your data project and choose Generate summary to obtain the detailed description of the asset and its columns.

Metadata 91

Metadata Metrics Data-driven Modeling 91

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required.

Metadata 99

Metadata Modeling Data Processing Unstructured Data 99

AWS Big Data

DECEMBER 18, 2023

For more information, refer to IAM Policies for invoking AWS Glue job from Step Functions. There are multiple tables related to customers and order data in the RDS database. Amazon S3 hosts the metadata of all the tables as a.csv file. To learn more about how distributed map redrive works, refer to Redriving Map Runs.

Metadata 123

Metadata Visualization Data Lake Data-driven 123

AWS Big Data

FEBRUARY 7, 2024

Refer to How can I access OpenSearch Dashboards from outside of a VPC using Amazon Cognito authentication for a detailed evaluation of the available options and the corresponding pros and cons. For more information, refer to the AWS CDK v2 Developer Guide. For instructions, refer to Creating a public hosted zone. application.

Dashboards 85

Dashboards Data Processing Metadata Consulting 85

AWS Big Data

OCTOBER 25, 2023

But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. The solution integrates data in three tiers.

Unstructured Data 121

Unstructured Data Metadata Management Analytics 121

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. Refer appendix section for more information on this feature. Refer to the first stack’s output.

Management 81

Management Metadata Testing Internet of Things 81

IBM Big Data Hub

JANUARY 17, 2023

These new technologies and approaches, along with the desire to reduce data duplication and complex ETL pipelines, have resulted in a new architectural data platform approach known as the data lakehouse – offering the flexibility of a data lake with the performance and structure of a data warehouse.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

SEPTEMBER 7, 2023

They store attributes such as object size, total time, turn-around time, and HTTP referer for log records. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. Running the crawler on a schedule updates AWS Glue Data Catalog with new partitions and metadata.

Metadata 102

Metadata Dashboards Metrics Visualization 102

AWS Big Data

NOVEMBER 15, 2023

You can use its built-in transformations, recipes, as well as integrations with the AWS Glue Data Catalog and Amazon Simple Storage Service (Amazon S3) to preprocess the data in your landing zone, clean it up, and send it downstream for analytical processing. For Matching conditions , choose Match all conditions.

Metadata 86

Metadata Sales Data Lake Big Data 86