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 served many enterprise use cases across API feeds, content mastering, and analytics interfaces.

Data Warehouse 107

Data Warehouse Data Lake Cost-Benefit Structured Data 107

AWS Big Data

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Choose Launch Stack Choose Next.

Data Warehouse 101

Data Warehouse Analytics Testing Modeling 101

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. However, if you want to test the examples using sample data, download the sample data. Tahir Aziz is an Analytics Solution Architect at AWS.

Data Lake 102

Data Lake Data Warehouse Optimization Testing 102

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. It provides a conversational interface where users can submit queries in natural language within the scope of their current data permissions. This generates a SQL query.

Metadata 102

Metadata Sales Data Warehouse Optimization 102

AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

Analytics 97

Analytics Data Lake Data Warehouse Data-driven 97

DataKitchen

AUGUST 19, 2021

We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space. DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. . The new Recipes run, and BOOM!

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

AWS Big Data

NOVEMBER 22, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that you can use to analyze your data at scale. Redshift Data API provides a secure HTTP endpoint and integration with AWS SDKs. In the next step, copy data from Amazon Simple Storage Service (Amazon S3) to the temporary table.

Data Warehouse 100

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 100

DataKitchen

AUGUST 3, 2021

The past decades of enterprise data platform architectures can be summarized in 69 words. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. The organizational concepts behind data mesh are summarized as follows.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

AWS Big Data

NOVEMBER 22, 2024

At AWS, we are committed to empowering organizations with tools that streamline data analytics and transformation processes. This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience.

Data Lake 92

Data Lake Data Warehouse Cost-Benefit Data Transformation 92

Timo Elliott

MAY 27, 2022

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it.

Data Analytics 124

Data Analytics Analytics Recreation/Entertainment Data Lake 124

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 179

Analytics Data Warehouse Business Intelligence Software 179

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

AWS Big Data

JANUARY 6, 2025

Amazon AppFlow automatically encrypts data in motion, and allows you to restrict data from flowing over the public internet for SaaS applications that are integrated with AWS PrivateLink , reducing exposure to security threats. Provide the role name appflow-redshift-access-role and Description and choose Create role.

Analytics 97

Analytics Data Warehouse Metrics Big Data 97

AWS Big Data

OCTOBER 23, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that lets you analyze your data at scale. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. Choose a query to view it in Query profiler.

Data Warehouse 97

Data Warehouse Metrics Broadcasting Dashboards 97

AWS Big Data

MARCH 10, 2025

Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume. These workloads have high variability for query patterns and number of queries.

Optimization 72

Optimization Data Warehouse Data-driven Testing 72

David Menninger's Analyst Perspectives

MARCH 17, 2022

Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance.

Business Intelligence 207

Business Intelligence Data Warehouse Data Quality Dashboards 207

AWS Big Data

AUGUST 22, 2024

Kaplan data engineers empower data analytics using Amazon Redshift and Tableau. The infrastructure provides an analytics experience to hundreds of in-house analysts, data scientists, and student-facing frontend specialists. Committed to fostering a learning culture, Kaplan is changing the face of education.

Data Warehouse 115

Data Warehouse Data Lake Data Integration Management 115

Jet Global

JANUARY 20, 2021

Add web analytics, digital marketing automation, and social media to the mix, and the volume of data grows even further. Pile on external data from suppliers and external service providers, and it begins to appear unmanageable. First, you must make all of those data available in a centralized repository.

Data Analytics 95

Data Analytics Management Analytics Data Warehouse 95

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform powered by Amazon Redshift and Amazon QuickSight provides a full-fledged analytics platform for Eightfold’s customers. It delivers analytics and enhanced insights about the customer’s Talent Acquisition, Talent Management pipelines, and much more.

Metadata 111

Metadata Data Warehouse Analytics Data Analytics 111

datapine

SEPTEMBER 27, 2022

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

MAY 28, 2022

Das’s biggest priorities include integrating Randall-Reilly IT with client systems to become more essential to their businesses, rearchitecting old systems using modern approaches such as microservices, implementing AI and machine learning to automate manual processes, and delivering clean, standardized data for analytics and monitoring.

IT 137

IT ROI Cost-Benefit Technology 137

Smart Data Collective

APRIL 8, 2020

The amount of data being generated globally is increasing at rapid rates. In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Typical tools for data science: SAS, Python, R. What is Data Analytics?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

IoT 107

IoT Machine Learning Metadata Data-driven 107

AWS Big Data

JULY 8, 2024

Amazon Redshift Serverless is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, simple, and secure analytics at scale. You can use the Amazon Redshift Streaming Ingestion capability to update your analytics data warehouse in near real time.

Data Warehouse 126

Data Warehouse IT Recreation/Entertainment Cost-Benefit 126

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Production Monitoring Only.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Sisense

MAY 28, 2019

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. We have seen industry rollups in which firms create a collection of analytical tools under one brand. To see a BI vendor doubling down on in-data technology isn’t surprising.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

JULY 24, 2022

He announced his departure on LinkedIn and reflected on some of the achievements during the five years with the department which included building an advanced data analytics platforms utilising data warehouse, a data lake, data science containers and supporting visualisation tools. IT Leadership

IT 98

IT Data Lake Data Warehouse Digital Transformation 98

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 92

Data Analytics Analytics IoT Data Lake 92

CIO Business Intelligence

NOVEMBER 4, 2022

In that capacity, he knew that, in addition to having the right team and technical building blocks in place, data was the key to Regeneron’s future success. “It It is all about the data. Everything we do is data-driven, and at that time, we were very datacenter-driven but the technology had lots of limitations” says McCowan. “It

Data Lake 124

Data Lake IT Experimentation Data-driven 124

DataKitchen

DECEMBER 7, 2021

Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean. This book is for any data leader looking to get the most out their data and their data teams. A distributed data mesh is a better choice. How did we get here? Author Laura B.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

AWS Big Data

MARCH 27, 2024

You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse. This will be your online transaction processing (OLTP) data store for transactional data. With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse.

Data Analytics 113

Data Analytics Analytics Data Warehouse Data Lake 113

CIO Business Intelligence

MAY 25, 2022

Das’s biggest priorities include integrating Randall-Reilly IT with client systems to become more essential to their businesses, rearchitecting old systems using modern approaches such as microservices, implementing AI and machine learning to automate manual processes, and delivering clean, standardized data for analytics and monitoring.

IT 116

IT ROI Cost-Benefit Technology 116

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 69

Data Warehouse Dashboards Testing Visualization 69

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246