AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 82

Enterprise Data Warehouse Snapshot Cost-Benefit 82

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

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 111

Data Lake Metadata Optimization Statistics 111

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

MARCH 1, 2024

It provides personal and commercial banking, global markets, and investment banking services to 13 million customers. As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud.

Data Lake 97

Data Lake Data Warehouse Management Risk 97

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

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 124

Data Lake IT Experimentation Data-driven 124

CIO Business Intelligence

SEPTEMBER 12, 2023

What’s changed since then, apart from Shih’s title, is Salesforce has rearchitected its underlying Data Cloud and Einstein AI framework to use an improved metadata framework, creating a new platform it calls Einstein 1. This means we now have a hyperscale data engine directly inside of Salesforce to connect all of your data,” he said.

IT 116

IT Metadata Data Lake Cost-Benefit 116

AWS Big Data

JUNE 13, 2023

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

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 105

Management Advertising Data Lake Sales 105

Alation

MARCH 29, 2021

Data-driven decision making is the process of using facts, metrics, and data to guide strategic decisions that align with business goals. It empowers everyone — from business analysts and sales managers, to marketing specialists — to make better decisions about virtually any business challenge. Conclusion.

Metadata 59

Metadata Data-driven Enterprise Machine Learning 59

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 144

Management Advertising Data Lake Sales 144

Alation

JULY 19, 2022

A data catalog can assist directly with every step, but model development. And even then, information from the data catalog can be transferred to a model connector , allowing data scientists to benefit from curated metadata within those platforms. How Data Catalogs Help Data Scientists Ask Better Questions.

Metadata 59

Metadata Data Quality Statistics Data Science 59

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging. .

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

Alation

MARCH 21, 2023

What types of data are collected? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. Data-driven marketing Using historical customer data, companies can market travel deals or pricing based on people’s known interests and needs.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

IBM Big Data Hub

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks.

Machine Learning 68

Machine Learning Data Warehouse Modeling Cost-Benefit 68

Alation

APRIL 7, 2021

In the newest offering, Alation Cloud Service , Alation delivers the most comprehensive cloud-based data intelligence platform on the market. It provides users with the simplest and fastest way to drive data intelligence across hybrid environments. Enjoy the peace of mind of always-on security.

Data Governance 52

Data Governance Enterprise Metadata Cost-Benefit 52

AWS Big Data

MAY 1, 2024

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. Responsibilities include: Load raw data from the data source system at the appropriate frequency.

Dashboards 102

Dashboards Data-driven Publishing Cost-Benefit 102

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 82

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 82

Alation

JUNE 7, 2023

Airlines Reporting Corporation (ARC) used self-service data access as a way to accelerate time-to-market for new products. It also sells business intelligence and other data products to travel industry customers, and with over 50 years’ worth of data, they have a lot of insights to offer.

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 65

Data Architecture Data Lake Machine Learning Data Governance 65

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Without those templates, it’s hard to add such information after the fact.”

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

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. This is the Data Mart stage.

Data Lake 87

Data Lake Data Warehouse B2B Data-driven 87

Andrew White

MARCH 22, 2019

to weave together the governance and management of master data, application data, and less-widely shared data, and just enough enterprise metadata management. Your Future Requires You to Define Your Real Master Data. Don’t You Need to Understand Your Business Information Architecture? Age maybe against us.

Analytics 68

Analytics Metadata Data Governance Management 68

Jet Global

FEBRUARY 23, 2024

Data Integration Data integration is the process of connecting data from one system to another, such as when synchronizing customer data between marketing and sales platforms. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

SEPTEMBER 19, 2023

What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI How can we rapidly build BI reports on cloud ERP data without any help from IT?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52