Smart Data Collective

AUGUST 14, 2019

One of the major reasons why people keep coming back to these platforms is the big technology that powers the gaming industry , making their offerings highly enjoyable and secure. CIO reports that big data has helped the gaming industry increase its revenue to $40.6 How Is Big Data Transforming Digital Gaming?

Big Data 92

Big Data Technology Recreation/Entertainment Machine Learning 92

Bruno Aziza

JULY 1, 2020

Leading companies are undertaking a wholesale transformation to enable remote work leveraging digital capabilities and data.

Data Transformation 125

Data Transformation Technology 125

Analytics Vidhya

JUNE 23, 2022

Introduction to Data Engineering In recent days the consignment of data produced from innumerable sources is drastically increasing day-to-day. So, processing and storing of these data has also become highly strenuous. The post Data Engineering – A Journal with Pragmatic Blueprint appeared first on Analytics Vidhya.

Machine Learning 378

Machine Learning Data Science Publishing Technology 378

AWS Big Data

OCTOBER 30, 2024

He is passionate about building high-performance ML/AI and analytics products that enable enterprise customers to achieve their critical goals using cutting-edge technology. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management. Connect with him on LinkedIn.

Analytics 118

Analytics Visualization Data Governance Data-driven 118

CIO Business Intelligence

JANUARY 8, 2025

Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system. because the scale of compute power required would be too costly to reproduce in house, says Sid Nag, VP, cloud, edge, and AI infrastructure services and technologies at Gartner.

Data Processing 139

Data Processing Optimization Modeling Enterprise 139

AWS Big Data

APRIL 19, 2023

Utilizing strategies like data mesh generates value on a large scale. We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML. This solution solves the interoperability and linkage problem for data products.

Technology 105

Technology Data-driven Machine Learning Sales 105

Wayne Yaddow

FEBRUARY 18, 2025

Selecting the strategies and tools for validating data transformations and data conversions in your data pipelines. Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

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

JANUARY 15, 2025

With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially. However, much of this data remains siloed and making it accessible for different purposes and other departments remains complex. She can reached via LinkedIn.

IoT 111

IoT Machine Learning Metadata Data-driven 111

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Wayne Yaddow

FEBRUARY 26, 2025

AI is transforming how senior data engineers and data scientists validate data transformations and conversions. Artificial intelligence-based verification approaches aid in the detection of anomalies, the enforcement of data integrity, and the optimization of pipelines for improved efficiency.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

CIO Business Intelligence

NOVEMBER 17, 2022

Here are tips from technology resume experts on how to write the ideal resume for chief data officer positions, along with one shining example. Focus on transformation. However, the ability to drive digital technology transformation is going to be the focus,” says Stephen Van Vreede, resume expert at IT Tech Exec.

Data Governance 128

Data Governance Data Transformation Strategy Data Strategy 128

AWS Big Data

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

AWS Big Data

OCTOBER 30, 2024

He is passionate about building high-performance ML/AI and analytics products that enable enterprise customers to achieve their critical goals using cutting-edge technology. He loves diving into cloud technology and solving complex problems to build impactful solutions. Connect with him on LinkedIn.

Visualization 119

Visualization Data Lake Testing Data Governance 119

AWS Big Data

DECEMBER 20, 2024

Your generated jobs can use a variety of data transformations, including filters, projections, unions, joins, and aggregations, giving you the flexibility to handle complex data processing requirements. In this post, we discuss how Amazon Q data integration transforms ETL workflow development.

Data Integration 105

Data Integration Visualization Data Processing Big Data 105

datapine

SEPTEMBER 29, 2022

Today most of a company’s operations and strategic decisions heavily rely on data, so the importance of quality is even higher. And indeed, low-quality data is the leading cause of failure for advanced data and technology initiatives, to the tune of $9.7 Here, it all comes down to the data transformation error rate.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Alation

OCTOBER 26, 2021

The Chief Financial Officer (CFO) 4 is most often the scapegoat for such failures, particularly if they’ve been reluctant to invest in technology to support the wider use of data across the organization. Building a Data Culture Within a Finance Department. Building a Data Culture Within a Finance Department.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Smart Data Collective

OCTOBER 20, 2021

As per the TDWI survey, more than a third (nearly 37%) of people has shown dissatisfaction with their ability to access and integrate complex data streams. Why is Data Integration a Challenge for Enterprises? This speeds up data transformation and decision-making.

Data Integration 133

Data Integration Machine Learning Big Data Statistics 133

Octopai

MARCH 31, 2021

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

Metadata 133

Metadata Data Transformation Business Intelligence Reporting 133

DataKitchen

APRIL 26, 2021

However, the organization was reaching a tipping point where their technologies and processes were becoming capacity constrained. Furthermore, the introduction of AI and ML models hastened the need to be more efficient and effective in deploying new technologies. GSK’s DataOps journey paralleled their data transformation journey.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

DataKitchen

JULY 27, 2023

Here are a few examples that we have seen of how this can be done: Batch ETL with Azure Data Factory and Azure Databricks: In this pattern, Azure Data Factory is used to orchestrate and schedule batch ETL processes. Azure Blob Storage serves as the data lake to store raw data. Azure Machine Learning).

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

DECEMBER 4, 2024

By treating data as a product, the bank is positioned to not only overcome current challenges, but to unlock new opportunities for growth, customer service, and competitive advantage. These nodes can implement analytical platforms like data lake houses, data warehouses, or data marts, all united by producing data products.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

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. She is passionate about data analytics and data science.

Data Warehouse 105

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

CIO Business Intelligence

OCTOBER 11, 2022

“AI Bench is a set of automated tools and guardrails that help us spin up the right environments in an automated fashion, so our data scientists can quickly begin working in a safe, secure, environment while ensuring regulatory compliance,” said Brian Dummann, AstraZeneca’s Vice President of Insights & Technology Excellence.

Machine Learning 145

Machine Learning Data Science Data-driven Testing 145

CIO Business Intelligence

FEBRUARY 20, 2024

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

DECEMBER 6, 2023

As the digital era paves the way for new economic platforms and opportunities, it also leverages the role of cross-industry collaboration, especially in technology. Historically, the technology partner relationship used to be a body count per dollar efficiency ratio, which focuses on getting work done while best optimising the budget.

Digital Transformation 116

Digital Transformation Software Cost-Benefit Manufacturing 116

O'Reilly on Data

OCTOBER 19, 2021

What does a modern technology stack for streamlined ML processes look like? Why: Data Makes It Different. In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? Model Development.

IT 364

IT Testing Experimentation Software 364

Ontotext

NOVEMBER 29, 2024

If we want to overcome the challenges of such transformations in sustainable ways, we need to look for solutions from multidimensional perspectives. The role of knowledge graphs in AECO transformation At present, knowledge graphs are the best-known technology capable of offering decentralized ways of going beyond existing data silos.

Modeling 59

Modeling Structured Data Technology Data Transformation 59

CIO Business Intelligence

JUNE 13, 2022

New technologies hit the market, existing ones evolve, business needs change on a dime, staff comes and goes. Technology has to move much closer to the customer, but there are still intermediaries. CIOs still have interpreters, they have interpreters between the actual users and the technology organization,” he says.

IT 144

IT Digital Transformation Internet of Things Strategy 144

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

This technology has the potential to significantly redefine the mission of the financial planning and analysis group. From an organization and management perspective, I think the key to taking full advantage of AI and GenAI technology is to refashion the group into a planning center of excellence.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

AWS Big Data

OCTOBER 23, 2024

extract() >> transform() >> load() In the preceding code snippet, a Dataset object called datalake is used to schedule the DAG. He has worked in the financial services industry since 2018, specializing in application modernization and supporting customers in their adoption of the cloud with a focus on serverless technologies.

Interactive 115

Interactive Testing Data-driven Data Lake 115

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 111

Metadata Data Lake Visualization Data Quality 111

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

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. This is something that you can learn more about in just about any technology blog.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

Jen Stirrup

SEPTEMBER 30, 2021

Now that’s done, let’s try and relate it to technology that you already know. If you’ve previously done work in SQL Server Analysis Services, you will know that Analysis Services had data mining functionality. Excel specialists may know that Excel also has a series of Data Mining Add-ins. Business Understanding.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

DataKitchen

NOVEMBER 10, 2023

Solutions to Reign in the Chaos Implementing Data Observability Platforms: Tools like DataKitchen’s DataOps Observability provide an overarching view of the entire Data Journey. They enable continuous monitoring of data transformations and integrations, offering invaluable insights into data lineage and changes.

Data Quality 136

Data Quality Testing Data Lake Data Integration 136