Cloudera

AUGUST 28, 2018

Here’s what a few our judges had to say after reviewing and scoring nominations: “The nominations showed highly creative, innovative ways of using data, analytics, data science and predictive methodologies to optimize processes and to provide more positive customer experiences. Modern Data Warehousing.

Digital Transformation 65

Digital Transformation Machine Learning Consulting IoT 65

AWS Big Data

APRIL 3, 2023

About the Authors Akhil is a Data Analytics Consultant at AWS Professional Services. He helps customers design & build scalable data analytics solutions and migrate data pipelines and data warehouses to AWS. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

AWS Big Data

JUNE 12, 2024

Swisscom’s Data, Analytics, and AI division is building a One Data Platform (ODP) solution that will enable every Swisscom employee, process, and product to benefit from the massive value of Swisscom’s data. The following high-level architecture diagram shows ODP with different layers of the modern data architecture.

Data Architecture 92

Data Architecture Cost-Benefit Experimentation Management 92

AWS Big Data

MARCH 25, 2024

To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink. It also allows you to transform, enrich, join, and aggregate data across many sources efficiently in near-real time.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

IBM Big Data Hub

JUNE 28, 2023

That’s where the next problem lies: omics data analysis and interpretation, including sequence alignment, assembly and variant discovery, are computationally intensive tasks required for interpretation and other downstream analysis and thus are of importance to guarantee overall accuracy. What is Amazon Omics?

Informatics 63

Informatics Consulting Cost-Benefit Data Architecture 63

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

Andrew White

JANUARY 9, 2022

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. Have a look at this and see if this helps: Data, Analytics and AI Form the Foundation of Data-Driven Decision Making. . We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

IBM Big Data Hub

AUGUST 15, 2023

Artificial intelligence in business is already driving organizational changes in how companies approach data analytics and cybersecurity threat detection. AI starts with data To launch a truly effective AI program for your business, you must have clean quality datasets and an adequate data architecture for storing and accessing it.

IT 75

IT Data Governance Modeling Cost-Benefit 75

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Jet Global

MAY 1, 2023

Services Technical and consulting services are employed to make sure that implementation and maintenance go smoothly. They bring the domain expertise necessary to implement embedded analytics successfully. These include how-to guides, best practices, and in-person consultations. The days of Big BI are over.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52