datapine

SEPTEMBER 29, 2022

Data processes that depended upon the previously defective data will likely need to be re-initiated, especially if their functioning was at risk or compromised by the defected data. These processes could include reports, campaigns, or financial documentation. Accuracy should be measured through source documentation (i.e.,

Data Quality 241

Data Quality Metrics Data-driven Management 241

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

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence. Track models and drive transparent processes.

Risk 75

Risk Modeling Management Metadata 75

erwin

APRIL 29, 2020

Business terms and data policies should be implemented through standardized and documented business rules. Compliance with these business rules can be tracked through data lineage, incorporating auditability and validation controls across data transformations and pipelines to generate alerts when there are non-compliant data instances.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

AWS Big Data

JULY 25, 2023

As of this writing, Talend has 14 distinct native connectivity and configuration components for Amazon Redshift, which are fully documented in the Talend Help Center. As well as Talend Cloud for enterprise-level data transformation needs, you could also use Talend Stitch to handle data ingestion and data replication to Redshift Serverless.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

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.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

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

Cloudera

AUGUST 3, 2022

By leveraging Hive to apply Ranger FGAC, Spark obtains secure access to the data in a protected staging area. Since Spark has direct access to the staged data, any Spark APIs can be used, from complex data transformations to data science and machine learning. . so stay tuned! .

Snapshot 85

Snapshot Cost-Benefit Machine Learning Data Transformation 85

Jet Global

MARCH 14, 2024

This straightforward and user-friendly access to source data makes it easier for your business users to examine and extract insights from your core data systems. Data Lineage and Documentation Jet Analytics simplifies the process of documenting data assets and tracking data lineage in Fabric.

Analytics 52

Analytics Management Reporting Enterprise 52

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 80

Data Governance Business Objectives Strategy Data Quality 80

Sisense

AUGUST 6, 2020

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. Accurately prepared data is the base of AI. What will it take to build your MVP?

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

Octopai

OCTOBER 6, 2022

It all happens through the magic of data transformation. Data transformation can include: Aggregation Discretization Generalization Conversion Normalization Filtering Smoothing. Identify which transformation process is needed to take your data from the source structure to the target structure.

Testing 52

Testing Visualization Data Transformation Strategy 52

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. Mapping a successful data migration can bring on rough weather.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

AWS Big Data

OCTOBER 5, 2023

With Amazon AppFlow, you can run data flows at nearly any scale at the frequency you choose—on a schedule, in response to a business event, or on demand. You can configure data transformation capabilities such as filtering and validation to generate rich, ready-to-use data as part of the flow itself, without additional steps.

Data Warehouse 84

Data Warehouse Machine Learning Data Integration Data-driven 84

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 method uses GZIP compression to optimize storage consumption and query performance.

Analytics 92

Analytics IoT Metadata Internet of Things 92

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. Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud. Enabling self-service for developers.

Testing 96

Testing Cost-Benefit Interactive Visualization 96

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

AWS Big Data

OCTOBER 31, 2023

Configure access permissions for the S3 bucket While creating the IAM policy, a sample policy document code is needed (see the following code), which provides Snowflake with the required permissions to load or unload data using a single bucket and folder path. On the IAM console, choose Roles in the navigation pane.

Data Processing 88

Data Processing Management Publishing Testing 88

AWS Big Data

APRIL 19, 2023

This allows for a new way of thinking and new organizational elements—namely, a modern data community. However, today’s data mesh platform contains largely independent data products. Even with well-documented data products, knowing how to connect or join data products is a time-consuming job.

Technology 80

Technology Data-driven Machine Learning Sales 80

AWS Big Data

JULY 6, 2023

It has not been specifically designed for heavy data transformation tasks. Additionally, check out the official documentation of AWS Glue , Lambda , and Step Functions. You also use AWS Glue to consolidate the files produced by the parallel tasks. Note that Lambda is a general purpose serverless engine.

Machine Learning 128

Machine Learning Visualization IoT Digital Transformation 128

AWS Big Data

MARCH 9, 2023

This can be done using the initiatePrint action: embeddedDashboard.initiatePrint(); The following code sample shows a loading animation, SDK code status, and dashboard interaction monitoring, along with initiating dashboard print from the application: Embedding demo $(document).ready(function()

Slice and Dice 79

Slice and Dice Dashboards Analytics Interactive 79

Jet Global

AUGUST 9, 2023

Process Runner GLSU and Wands for SAP provide flexible, intuitive interfaces for SAP data entry and transaction posting directly from Microsoft Excel. Automate financial document posting processes resulting in a shorter month-end close. Increase data accuracy and improve audit processing while running a stress-free finance operation.

Finance 52

Finance Reporting Management Enterprise 52

AWS Big Data

OCTOBER 27, 2023

Efficiency : Data transformation tasks that previously took weeks or months can now be accomplished within minutes, optimizing efficiency. Follow the documentation to clean up the Google resources. Cost efficiency : Building and maintaining custom connectors can be expensive.

Analytics 94

Analytics Visualization Data Integration Cost-Benefit 94

Cloudera

MARCH 14, 2023

A critical feature for every developer however is to get instantaneous feedback like configuration validations or performance metrics, as well as previewing data transformations for each step of their data flow. We are excited to hear your feedback and we hope you will enjoy building your data flows with the new Designer.

Testing 81

Testing Publishing Metadata Interactive 81

bridgei2i

SEPTEMBER 3, 2020

Ronobijay: Sure, I think it would, you know, what used to be anathema till a few months back, you know, data transformation is real now, right? We would have to visit a branch possibly, you know, multiple locations, submit multiple documents. So earlier customers would spend a week or two, trying to open a bank account.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

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.

Dashboards 61

Dashboards Testing Metrics Optimization 61

Octopai

DECEMBER 11, 2022

It’s for that reason that even as the first BCBS-239 implementation deadline came into effect a few years ago, McKinsey reported that one-third of Global Systemically Important Banks had focused on “documenting data lineage up to the level of provisioning data elements and including data transformation.”.

Insurance 52

Insurance Risk Metadata Reporting 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. Some of this knowledge is locked and the company cannot access it. What exactly do you do for them?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

AWS Big Data

JULY 31, 2023

This concludes creating data sources on the AWS Glue job canvas. Next, we add transformations by combining data from these different tables. Transform the data Complete the following steps to add data transformations: On the AWS Glue job canvas, choose the plus sign. Choose Run to run the job.

Sales 52

Sales Data Warehouse Visualization Testing 52

Ontotext

DECEMBER 9, 2020

If you have ever built your own custom GraphQL API layer, the code typically resolves each part of a GraphQL query as it traverses downwards as a separate isolated data fetching step. This leads to lots of small data fetches to/from GraphDB over the network. Custom code also tends to over-fetch data that is not required.

Modeling 130

Modeling Management Optimization Metrics 130

Jet Global

NOVEMBER 7, 2023

Users will have access to out-of-the-box data connectors, pre-built plug-and-play analytics projects, a repository of reports, and an intuitive drag-and-drop interface so they can begin extracting and analyzing key business data within hours.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Cloudera

OCTOBER 7, 2022

We’re excited to announce the general availability of the open source adapters for dbt for all the engines in CDP — Apache Hive , Apache Impala , and Apache Spark, with added support for Apache Livy and Cloudera Data Engineering. The Open Data Lakehouse . Cloudera builds dbt adaptors for all engines in the open data lakehouse.

Data Warehouse 81

Data Warehouse Data Transformation Testing Data Lake 81

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

IBM Big Data Hub

JANUARY 9, 2024

ELT tools such as IBM® DataStage® facilitate fast and secure transformations through parallel processing engines. In 2023, the average enterprise receives hundreds of disparate data streams, making efficient and accurate data transformations crucial for traditional and new AI model development.

Enterprise 77

Enterprise Data Integration Data Quality Contextual Data 77

AWS Big Data

MARCH 3, 2023

The weeks that followed the lab included go-to-market activities with specific customers, documentation, hardening, security reviews, performance testing, data integrity testing, and automation activities. The Amazon S3 sink connector further streams data into Amazon S3 in real time by partitioning data into fixed-sized files.

Software 52

Software Data Lake Testing Cost-Benefit 52

IBM Big Data Hub

NOVEMBER 20, 2023

Today’s healthcare providers use a wide variety of applications and data across a broad ecosystem of partners to manage their daily workflows. Integrating these applications and data is critical to their success, allowing them to deliver patient care efficiently and effectively.

Cost-Benefit 93

Cost-Benefit Data-driven Data Transformation Management 93

Alation

JANUARY 17, 2023

These help data analysts visualize key insights that can help you make better data-backed decisions. ELT Data Transformation Tools: ELT data transformation tools are used to extract, load, and transform your data. Examples of data transformation tools include dbt and dataform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52