DataKitchen

JANUARY 25, 2022

The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. When internal resources fall short, companies outsource data engineering and analytics.

Consulting 244

Consulting Testing Data Lake Data Quality 244

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

DataKitchen

AUGUST 27, 2021

During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. The data team must be able to respond rapidly and with a high degree of quality and certainty to user requests.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

MARCH 29, 2024

“Generative AI is becoming the virtual knowledge worker with the ability to connect different data points, summarize and synthesize insights in seconds, allowing us to focus on more high-value-add tasks,” says Ritu Jyoti, group vice president of worldwide AI and automation market research and advisory services at IDC. “It

Data Lake 110

Data Lake Machine Learning Data Warehouse Unstructured Data 110

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 84

Data Warehouse Data Lake Cost-Benefit Structured Data 84

DataKitchen

JANUARY 3, 2022

Customers and market forces drive deadlines and timeframes for analytics deliverables regardless of the level of effort required. Business analytic teams field an endless stream of questions from marketing and salespeople and they can’t get ahead. An impact review test suite executes before new analytics are deployed.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Today, we backflush our data lake through our data warehouse.

Data Lake 127

Data Lake Data Warehouse Unstructured Data Data Architecture 127

CIO Business Intelligence

SEPTEMBER 22, 2023

Deploying a DMP can be a great way for companies to navigate a business world dominated by data, and these platforms have become the lifeblood of digital marketing today. In these instances, data feeds come largely from advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 97

Management Advertising Data Lake Sales 97

CIO Business Intelligence

NOVEMBER 4, 2022

Then the data is consumed by SaaS-based computational tools, but it still sits within our organization and sits within the controls of our cloud-based solutions.” Much of Regeneron’s data, of course, is confidential. For that reason, many of its data tools — and even its data lake — were built in-house using AWS. “We

Data Lake 103

Data Lake IT Experimentation Data-driven 103

CIO Business Intelligence

JUNE 9, 2022

Lately, however, the term has been adopted by marketing teams, and many of the data management platforms vendors currently offer are tuned to their needs. In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 137

Management Advertising Data Lake Sales 137

AWS Big Data

NOVEMBER 29, 2023

Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 102

Data Warehouse Data Lake Analytics Machine Learning 102

CIO Business Intelligence

APRIL 26, 2024

The information and insights company’s foundation remains ensuring that every consumer is accurately represented in the market. billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services.

Modeling 86

Modeling IT Machine Learning Data Governance 86

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

Cloudera

JUNE 2, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way. What are the key capabilities that a data distribution service has to have?

Enterprise 102

Enterprise Data Lake Data Collection Data-driven 102

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 91

Data Quality Measurement Testing Visualization 91

CIO Business Intelligence

MARCH 18, 2024

Amid the turbulence of AI, technologies are emerging rapidly, startups are clamoring for attention, and hyperscalers are scrambling to corral market share. One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. And standing still is not an option.

Risk 121

Risk Cost-Benefit Data Processing Testing 121

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. Lake Formation will automatically specify the correct IAM Identity Center instance. Select Named Data Catalog resources. Choose Create. Choose Grant.

Analytics 96

Analytics Data Lake Management Enterprise 96

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. Unless, of course, the rest of their data also resides in the Google Cloud. The Data Science teams also use this data for churn prediction and CLTV modeling.

Analytics 55

Analytics Data Lake Testing Optimization 55

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

DataKitchen

JANUARY 17, 2022

However, the BA team spent most of its time overcoming error-prone data and managing fragile and unreliable analytics pipelines. . Customers and market forces drive deadlines and timeframes for analytics deliverables regardless of the level of effort required. QC is extraordinarily time-consuming unless it is automated.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

CIO Business Intelligence

APRIL 9, 2024

We just came out of the gates fast, and we just kept solving problems,” the CIO says, noting that his team was experimenting with Azure LLMs before they were on the market. “We One SCADA engineer, for example, started using generative AI “to create synthetic data for testing our SCADA systems,” Melby says.

Digital Transformation 82

Digital Transformation Machine Learning Data Lake Software 82

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

CIO Business Intelligence

OCTOBER 11, 2022

The goal, she explained, is to knock down data silos between those groups, using multiple data lakes supported by strong security and governance, to drive positive impact across the supply chain, manufacturing, and the clinical trials of new drugs. . Accelerating drug discovery and clinical trials.

Machine Learning 144

Machine Learning Data-driven Testing Data Science 144

Timo Elliott

DECEMBER 14, 2022

Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation. Business Context.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? In essence, these processes are divided into smaller sections but have the same goal: to help companies, small businesses and large enterprises alike, adapt quickly to business goals and ever-changing market circumstances. Finalize testing. Train end-users.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

MAY 12, 2022

In the hyper-competitive telecommunications market, companies that don’t achieve these superlatives risk being left in the dust by competitors. The biggest challenge for any big enterprise is organizing the data that has organically grown across the organization over the last several years. Real-time data is not a nice-to-have anymore.

Testing 87

Testing Data Lake Advertising Marketing 87

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 79

Digital Transformation Cost-Benefit Informatics Data mining 79

erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. Map data movement: erwin DI’s Mapping Manager defines data movement and transformation requirements via drag-and-drop functionality. Request an erwin Cloud Catalyst assessment.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

JULY 13, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way. What are the key capabilities that a data distribution service has to have?

Enterprise 59

Enterprise Data Lake Data Collection Data-driven 59

IBM Big Data Hub

AUGUST 1, 2023

Organizations that utilize them correctly can see a myriad of benefits—from increased operational efficiency and improved decision-making to the rapid creation of marketing content. models are trained on IBM’s curated, enterprise-focused data lake. That’s where the foundation model enters the picture.

Modeling 56

Modeling Cost-Benefit Data Lake Machine Learning 56

AWS Big Data

FEBRUARY 1, 2023

Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands. Then we chose Amazon Athena as our query service.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Alation

NOVEMBER 18, 2021

Talo Thomson, Head of Content Marketing, Alation: Hi Jason, thanks for taking the time to speak with me. With this release, we’ve made some nice enhancements to our data lineage capabilities. We’ve invested in two areas to help our customers get more lineage into the data catalog. update are you most excited about? With 21.4,

Data Lake 52

Data Lake Management Data Governance Testing 52

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Instead, Amazon Simple Email Service (SES) allows IT professionals and marketers to send and receive emails.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

AWS Big Data

NOVEMBER 9, 2023

A modern data platform entails maintaining data across multiple layers, targeting diverse platform capabilities like high performance, ease of development, cost-effectiveness, and DataOps features such as CI/CD, lineage, and unit testing. AWS Glue – AWS Glue is used to load files into Amazon Redshift through the S3 data lake.

Data Warehouse 106

Data Warehouse Testing Data Quality Reporting 106

AWS Big Data

MARCH 27, 2024

With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse. Amazon Redshift integrates with AWS HealthLake and data lakes through Redshift Spectrum and Amazon S3 auto-copy features, enabling you to query data directly from files on Amazon S3. Satesh Sonti is a Sr.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93