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 88

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 88

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 92

Testing Measurement Optimization Metadata 92

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.

Data Quality 93

Data Quality Visualization Metadata Metrics 93

Cloudera

SEPTEMBER 28, 2020

Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors. The customer leverages Cloudera’s multi-function analytics stack in CDP. Test and QA. Test and QA.

Testing 132

Testing Metadata Risk Data Science 132

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. Testing on the TPC-DS benchmark showed an 11% improvement in overall query performance when using CBO compared to without it.

Optimization 116

Optimization Statistics Metadata Data Lake 116

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 95

Metadata Interactive Business Objectives Management 95

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 106

Metadata Data Warehouse Analytics Data Analytics 106

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. small instance class. qps (int): Queries per second.

Testing 94

Testing Metrics Interactive Management 94

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

AWS Big Data

AUGUST 6, 2024

In essence, it’s the foundation for user-centric data analysis in modern apps, because it’s the layer that translates technical assets into business-friendly terms that enable users to extract actionable insights from data. The scope of data analytics has grown, and more user personas are now seeking to extract insights themselves.

OLAP 84

OLAP Analytics Visualization Dashboards 84

Cloudera

JANUARY 19, 2024

Please refer to the product documentation for more information about specific releases. Cloudera has been testing with GPT running in both Azure and OpenAI, but the following service-model combinations are also supported: Note: Cloudera recommends using the Hue AI assistant with the Azure OpenAI service. or higher on the public cloud.

Data Warehouse 77

Data Warehouse Data Processing Optimization Modeling 77

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. You can test this solution yourself using the AWS Samples GitHub repository.

Analytics 99

Analytics IoT Metadata Internet of Things 99

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 93

Data Processing Statistics Management Interactive 93

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

O'Reilly on Data

MARCH 31, 2020

The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 339

Management Machine Learning Experimentation Metrics 339

AWS Big Data

SEPTEMBER 26, 2024

Surfacing relevant information to end-users in a concise and digestible format is crucial for maximizing the value of data assets. Automatic document summarization, natural language processing (NLP), and data analytics powered by generative AI present innovative solutions to this challenge.

Data Lake 89

Data Lake Cost-Benefit Unstructured Data Modeling 89

AWS Big Data

APRIL 2, 2024

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

Metadata 92

Metadata Metrics Data-driven Contextual Data 92

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. Adding Tests to Reduce Stress.

Testing 152

Testing Metadata Dashboards Statistics 152

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

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 101

Metadata Modeling Data Processing Unstructured Data 101

AWS Big Data

SEPTEMBER 11, 2024

Each file arrives as a pair with a tail metadata file in CSV format containing the size and name of the file. This metadata file is later used to read source file names during processing into the staging layer. These files follow the same naming pattern, with a daily system-generated timestamp appended to each file name.

Data Architecture 86

Data Architecture Optimization Data Warehouse Metadata 86

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 120

Metadata Visualization Data Lake Data-driven 120

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 79

Management Metadata Testing Internet of Things 79

AWS Big Data

NOVEMBER 15, 2023

Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving the overall customer experience. Data streaming workloads often require data in the stream to be enriched via external sources (such as databases or other data streams).

Testing 93

Testing Optimization Management Metadata 93

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 103

Metadata Dashboards Metrics Visualization 103

AWS Big Data

APRIL 26, 2024

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. For a complete guide on creating and providing a certificate, refer to Providing certificates for encrypting data in transit with Amazon EMR encryption.

Analytics 99

Analytics Data Lake Management Enterprise 99

AWS Big Data

NOVEMBER 15, 2023

Stream data processing allows you to act on data in real time. Real-time data analytics can help you have on-time and optimized responses while improving the overall customer experience. Data streaming workloads often require data in the stream to be enriched via external sources (such as databases or other data streams).

Testing 52

Testing Optimization Management Metadata 52

AWS Big Data

MARCH 9, 2023

A dimension is a structure that captures reference data along with associated hierarchies, while a fact table captures different values and metrics that can be aggregated by dimensions. Relative to the metrics data that keeps changing on a daily or even hourly basis, the dimension attributes change less frequently.

Slice and Dice 81

Slice and Dice Data Warehouse Metrics Metadata 81

AWS Big Data

JUNE 12, 2024

Swisscom’s Data, Analytics, and AI division is building a One Data Platform (ODP) solution that will enable every Swisscom employee, process, and product to benefit from the massive value of Swisscom’s data. Swisscom is a leading telecommunications provider in Switzerland.

Data Architecture 96

Data Architecture Cost-Benefit Experimentation Data-driven 96

AWS Big Data

AUGUST 16, 2023

Most businesses store their critical data in a data lake, where you can bring data from various sources to a centralized storage. Change Data Capture (CDC) in the context of a data lake refers to the process of capturing and propagating changes made to source data.

Data Lake 71

Data Lake Metadata Testing Snapshot 71

AWS Big Data

JUNE 9, 2023

It is crucial that you perform testing to ensure that a table format meets your specific use case requirements. Amazon Redshift only supports Delta Symlink tables (see Creating external tables for data managed in Delta Lake for more information). This post is not intended to provide detailed technical guidance (e.g.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

AWS Big Data

JULY 8, 2024

Introduction to OpenLineage compatible data lineage The need to capture data lineage consistently across various analytical services and combine them into a unified object model is key in uncovering insights from the lineage artifact. To learn more, refer to Creating inventory and published data in Amazon DataZone.

Visualization 99

Visualization Metadata Publishing Sales 99

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. Storytelling is a nice one to use early on to test the approach. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

that gathers data from many sources. Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52