Cloudera

DECEMBER 9, 2022

Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. This allows developers to make changes to their processing logic on the fly while running some test data through their flow and validating that their changes work as intended.

Testing 100

Testing Cost-Benefit Interactive Visualization 100

AWS Big Data

JUNE 19, 2024

SUPER data type columns in Amazon Redshift contain semi-structured data like JSON documents. Previously, data masking in Amazon Redshift only worked with regular table columns, but now you can apply masking policies specifically to elements within SUPER columns. Verify attached masking policy on table/column to user/role.

Data Warehouse 101

Data Warehouse Testing Sales Structured Data 101

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. As part of the success criteria for operational service levels, you need to document the expected service levels for the new Amazon Redshift data warehouse environment.

Data Warehouse 98

Data Warehouse KPI Optimization Cost-Benefit 98

Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. Microsoft Azure.

Management 88

Management Data Warehouse Digital Transformation Dashboards 88

Sisense

AUGUST 6, 2020

Be sure test cases represent the diversity of app users. Take Grammarly as an example: This popular program checks the grammar, tone, and style of documents. Getting this AI properly trained required a huge learning dataset with countless documents that were tagged according to specific criteria. The perfect fit.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

Cloudera

JUNE 24, 2024

This integration empowers developers and data scientists alike with advanced capabilities for code completion, generation, and troubleshooting. Whether you’re tackling data transformation challenges or refining intricate machine learning models, our Copilot is designed to be your reliable partner in innovation.

Machine Learning 71

Machine Learning Data Science Data-driven Testing 71

Cloudera

MARCH 14, 2023

Allows them to iteratively develop processing logic and test with as little overhead as possible. Plays nice with existing CI/CD processes to promote a data pipeline to production. Provides monitoring, alerting, and troubleshooting for production data pipelines.

Testing 83

Testing Publishing Metadata Interactive 83

AWS Big Data

AUGUST 26, 2024

Duplicating data from a production database to a lower or lateral environment and masking personally identifiable information (PII) to comply with regulations enables development, testing, and reporting without impacting critical systems or exposing sensitive customer data. PII detection and scrubbing.

Visualization 105

Visualization Metadata Data Transformation Testing 105

AWS Big Data

FEBRUARY 26, 2024

You simply configure your data sources to send information to OpenSearch Ingestion, which then automatically delivers the data to your specified destination. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery. Choose the Test tab. For Method type ¸ choose POST.

Dashboards 71

Dashboards Testing Metrics Optimization 71

Cloudera

OCTOBER 8, 2024

Detailed Data and Model Lineage Tracking*: Ensures comprehensive tracking and documentation of data transformations and model lifecycle events, enhancing reproducibility and auditability.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

JULY 6, 2023

It has not been specifically designed for heavy data transformation tasks. To load the time series for a specific point into a pandas data frame, you can use the awswrangler library from your Python code: import awswrangler as wr import pandas as pd # Retrieving the data directly from Amazon S3 df = wr.s3.read_parquet("s3://

Machine Learning 137

Machine Learning Visualization IoT Digital Transformation 137

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Validate and test through the entire migration. Sirius can help.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

Octopai

OCTOBER 6, 2022

While the financial stress of migration is usually shouldered by company executives, the entire data team shares the stress of packing up data assets, moving them, unpacking them and putting them in the right locations, and hoping everything got there in one piece, with nothing broken or lost. Test the process. Did it work?

Testing 52

Testing Visualization Data Transformation Strategy 52

Ontotext

APRIL 4, 2019

Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. We translate their documents, presentations, tables, etc. This is one of the main diagnostic tests. into structured knowledge that can be processed by machines.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

AWS Big Data

OCTOBER 31, 2023

If you’re testing on a different Amazon MWAA version, update the requirements file accordingly. For testing purposes, you can choose Add permissions and add the managed AmazonS3FullAccess policy to the user instead of providing restricted access. Modify the policy document with the DESC STORAGE INTEGRATION output values you recorded.

Data Processing 101

Data Processing Management Publishing Visualization 101

AWS Big Data

OCTOBER 14, 2024

Prompt with no metadata For the first test, we used a basic prompt containing just the SQL generating instructions and no table metadata. Enhance the table and column descriptions : Documenting table and column descriptions requires a good understanding of the business process, terminology, acronyms, and domain knowledge.

Metadata 88

Metadata Data Lake Modeling Data Warehouse 88

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. This solution includes a Lambda function that continuously updates the Amazon Location tracker with simulated location data from fictitious journeys.

Analytics 108

Analytics IoT Metadata Internet of Things 108

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on.

Data Governance 40

Data Governance Risk Metadata Management 40

Domino Data Lab

AUGUST 20, 2019

The problem is that a new unique identifier of a test example won’t be anywhere in the tree. Feature extraction means moving from low-level features that are unsuitable for learning—practically speaking, we get poor testing results—to higher-level features which are useful for learning. Separate out a hold-out test set.

Testing 68

Testing Modeling Interactive Measurement 68

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

Alation

OCTOBER 18, 2022

Data analysts and engineers use dbt to transform, test, and document data in the cloud data warehouse. Yet every dbt transformation contains vital metadata that is not captured – until now. Data Transformation in the Modern Data Stack. How did the data transform exactly?

Metadata 52

Metadata Metrics Recreation/Entertainment Data Quality 52

IBM Big Data Hub

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

DataRobot Blog

MARCH 10, 2022

The first step in building a model that can predict machine failure and even recommend the next best course of action is to aggregate, clean, and prepare data to train against. This task may require complex joins, aggregations, filtering, window functions, and many other data transformations against extremely large-scale data sets.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Alation

JANUARY 17, 2023

As data science is growing in popularity and importance , if your organization uses data science, you’ll need to pay more attention to picking the right tools for this. An example of a data science tool is Dataiku. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

AWS Big Data

JULY 31, 2023

Select the connection again and on the Actions menu, choose Test connection. Testing the connection can take approximately 1 minute. You will see the message “Successfully connected to the data store with connection blog-redshift-connection.” This concludes creating data sources on the AWS Glue job canvas. Choose Confirm.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 115

Data Lake Management Metrics Data Warehouse 115

AWS Big Data

OCTOBER 30, 2024

With this launch of JDBC connectivity, Amazon DataZone expands its support for data users, including analysts and scientists, allowing them to work in their preferred environments—whether it’s SQL Workbench, Domino, or Amazon-native solutions—while ensuring secure, governed access within Amazon DataZone. Choose Test connection.

Visualization 114

Visualization Data Lake Testing Data Governance 114

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

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone recently announced the expansion of data analysis and visualization options for your project-subscribed data within Amazon DataZone using the Amazon Athena JDBC driver. Get started with our technical documentation.

Analytics 102

Analytics Visualization Data Governance Data-driven 102

Jet Global

MAY 1, 2023

Modern Data Sources Painlessly connect with modern data such as streaming, search, big data, NoSQL, cloud, document-based sources. Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more. addresses). Read carefully. Build your first set of reports.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52