Rocket-Powered Data Science

MARCH 20, 2023

Datasphere is a data discovery tool with essential functionalities: recommendations, data marketplace, and business content (i.e., incorporates the business context of the data and data products that are being recommended and delivered). As you would guess, maintaining context relies on metadata.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

AWS Big Data

MAY 2, 2025

This middleware consists of custom code that runs data flows to stitch data transformations, search queries, and AI enrichments in varying combinations tailored to use cases, datasets, and requirements. Ingest flows are created to enrich data as its added to an index. Flows are a pipeline of processor resources.

Machine Learning 83

Machine Learning Visualization Dashboards Metadata 83

IBM Big Data Hub

OCTOBER 24, 2017

If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.

Data Transformation 72

Data Transformation Analytics IT 72

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

AWS Big Data

NOVEMBER 22, 2024

In this post, we’ll walk through an example ETL process that uses session reuse to efficiently create, populate, and query temporary staging tables across the full data transformation workflow—all within the same persistent Amazon Redshift database session. Building event-driven applications with Amazon EventBridge and Lambda.

Data Warehouse 105

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 105

AWS Big Data

MARCH 13, 2024

Using EventBridge integration, filtered positional updates are published to an EventBridge event bus. Amazon Location device position events arrive on the EventBridge default bus with source: ["aws.geo"] and detail-type: ["Location Device Position Event"]. In this model, the Lambda function is invoked for each incoming event.

Analytics 122

Analytics IoT Metadata Internet of Things 122

AWS Big Data

JANUARY 30, 2025

We used the AWS Step Function state machines to define, orchestrate, and execute our data pipelines. Amazon EventBridge We used Amazon EventBridge, the serverless event bus service, to define the event-based rules and schedules that would trigger our AWS Step Functions state machines.

Data Warehouse 54

Data Warehouse Data Architecture Machine Learning Data Transformation 54

AWS Big Data

AUGUST 13, 2024

You will load the event data from the SFTP site, join it to the venue data stored on Amazon S3, apply transformations, and store the data in Amazon S3. The event and venue files are from the TICKIT dataset. For Node parents , select Rename Venue data and Rename Event data.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

AWS Big Data

SEPTEMBER 19, 2023

Problem statement In order to keep up with the rapid movement of fraudsters, our decision platform must continuously monitor user events and respond in real-time. However, our legacy data warehouse-based solution was not equipped for this challenge. Amazon DynamoDB is another data source for our Streaming 2.0

Analytics 110

Analytics Risk Big Data Machine Learning 110

AWS Big Data

JANUARY 15, 2025

With a unified catalog, enhanced analytics capabilities, and efficient data transformation processes, were laying the groundwork for future growth. Amazon DataZone empowers EUROGATE by setting the stage for long-term operational excellence and scalability.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. In forecasting future events. Prescriptive analytics.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 131

Management Metadata Analytics Dashboards 131

AWS Big Data

DECEMBER 4, 2024

The key to scaling the Institutional Division operating model are the following considerations: Data as a product approach – Use techniques like event storming and domain-driven design to capture business events and their meanings.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

AWS Big Data

APRIL 11, 2023

Data ingestion and storage Retail businesses have event-driven data that requires action from downstream processes. It’s critical for an inventory management application to handle the data ingestion and storage for changing demands. The volume and velocity of data can change in the retail industry each day.

Forecasting 98

Forecasting Management IoT Data-driven 98

AWS Big Data

APRIL 2, 2024

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc.

Metadata 111

Metadata Marketing Analytics Data Transformation 111

AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. An EventBridge rule receives an event notification from the AWS Glue Data Quality evaluations including the results.

Data Quality 98

Data Quality Metrics Data-driven Visualization 98

AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. The marketing team created leads based on the event in Adobe Marketo. Let’s take an example.

Sales 97

Sales Visualization Software Metadata 97

DataKitchen

OCTOBER 25, 2022

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. It’s not just a fear of change. If the first is late finishing, there are problems.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

SEPTEMBER 5, 2024

If storing operational data in a data warehouse is a requirement, synchronization of tables between operational data stores and Amazon Redshift tables is supported. In scenarios where data transformation is required, you can use Redshift stored procedures to modify data in Redshift tables.

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

O'Reilly on Data

JANUARY 17, 2023

If your business relied on a hard-and-fast rule, or a predictable sequence of events, someone was bound to write code to do the work and throw that on a few dozen servers to scale it out. This was the early days of developers spotting those for() loops and if/then constructs in the wild. And it made sense. It does not exist in the code.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

datapine

SEPTEMBER 29, 2022

This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g., Here, it all comes down to the data transformation error rate. Data time-to-value: evaluates how long it takes you to gain insights from a data set. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge. These event changes are also routed to the same SNS topic.

Data Lake 98

Data Lake Metrics Cost-Benefit Testing 98

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

Dashboards 98

Dashboards Statistics Data Collection Business Intelligence 98

AWS Big Data

MARCH 9, 2023

Additionally, there are major rewrites to deliver developer-focused improvements, including static type checking, enhanced runtime validation, strong consistency in call patterns, and optimized event chaining. is modernized by using promises for all actions, so developers can use async and await functions for better event management.

Slice and Dice 98

Slice and Dice Dashboards Analytics Interactive 98

Cloudera

JUNE 17, 2022

It is widely adopted by network device manufacturers to log event messages from routers, switches, firewalls, load balancers, and other networking equipment. Syslog typically follows an architecture of a syslog client that collects event data from the device and pushes it to a syslog server. .

Cost-Benefit 94

Cost-Benefit IoT Data Warehouse Manufacturing 94

erwin

APRIL 29, 2020

Without data lineage, these functions are irrelevant, so it makes sense for a business to have a clear understanding of where data comes from, who uses it, and how it transforms. Business terms and data policies should be implemented through standardized and documented business rules.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

Sisense

OCTOBER 15, 2020

One of the main challenges when dealing with streaming data comes from performing stateful transformations for individual events. Unlike a batch processing job that runs within an isolated batch with clear start and end times, a stream processing job runs continuously on each event separately.

Dashboards 98

Dashboards IoT Optimization Internet of Things 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.

Management 98

Management Data Warehouse Digital Transformation Dashboards 98

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

JANUARY 6, 2025

Amazon AppFlow is a fully managed integration service that you can use to securely transfer data from software as a service (SaaS) applications, such as Google BigQuery, Salesforce, SAP, HubSpot, and ServiceNow, to Amazon Web Services (AWS) services such as Amazon Simple Storage Service (Amazon S3) and Amazon Redshift, in just a few clicks.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

AWS Big Data

JULY 6, 2023

It has not been specifically designed for heavy data transformation tasks. 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 145

Machine Learning Visualization IoT Digital Transformation 145

erwin

SEPTEMBER 17, 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.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

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. What is the FHIR Standard?

Cost-Benefit 87

Cost-Benefit Data-driven Data Transformation Management 87

CIO Business Intelligence

DECEMBER 22, 2022

DataOps in practice To make the most of DataOps, enterprises must evolve their data management strategies to deal with data at scale and in response to real-world events as they happen, according to Dunning and Friedman. They also note DataOps fits well with microservices architectures.

Analytics 130

Analytics Machine Learning Data mining Software 130

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

CIO Business Intelligence

APRIL 8, 2025

Build data validation rules directly into ingestion layers so that insufficient data is stopped at the gate and not detected after damage is done. Use lineage tooling to trace data from source to report. Understanding how data transforms and where it breaks is crucial for audibility and root-cause resolution.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102