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 100

Data Warehouse Data Lake Analytics Machine Learning 100

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 92

Data Lake Data Warehouse Metadata Data Architecture 92

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. Data warehouses have been broadly adopted to provide timely reports and valuable insights.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

CIO Business Intelligence

MAY 24, 2022

These specific connectivity integrations are meant to allow healthcare providers to have a 360-degree view of all their important data and run analytics on them to take faster decisions and reduce time to market, Informatica said.

Finance 140

Finance Management Metadata Data Quality 140

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 88

Data Lake Data Warehouse Data-driven B2B 88

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 94

Management Data Warehouse Metrics Dashboards 94

Cloudera

JANUARY 19, 2022

Our position as a Visionary in the Gartner Magic Quadrant for Cloud DBMS market speaks to our product excellence and market-leading-vision of a hybrid, multifunction integrated platform with built-in security and governance. . We were named a Visionary having a strong market understanding and a robust roadmap for the cloud DBMS market.

Reporting 88

Reporting Data Warehouse Data Lake Machine Learning 88

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 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. See Managing LF-Tags for metadata access control for more details.

Data Lake 84

Data Lake Data Warehouse Marketing Management 84

CIO Business Intelligence

OCTOBER 26, 2023

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model? What is a data vault?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Ontotext

FEBRUARY 12, 2024

In a centralized architecture, data is copied from source systems into a data lake or data warehouse to create a single source of truth serving analytics use cases. This quickly becomes difficult to scale with data discovery and data version issues, schema evolution, tight coupling, and a lack of semantic metadata.

IT 64

IT Metadata Data Quality Data Lake 64

Alation

DECEMBER 15, 2022

Like sports, vendors enjoy healthy competition and often find themselves in highly contested markets with several viable opponents, both big and small. These select athletes are determined by what the “market” is saying – this includes fans, analysts, and the press. How Do You Determine the GOAT for a Software Category?

Metadata 52

Metadata Data Governance Data Quality Marketing 52

CIO Business Intelligence

JULY 6, 2023

Metadata from these applications will be combined with foundational models to offer generative AI assistants inside these applications to increase employee productivity, Batta said, likening the planned assistant to Microsoft’s Clippy. Similarly, ServiceNow also enhanced its generative AI assistant last month.

Strategy 106

Strategy Metadata Enterprise Modeling 106

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

erwin

JULY 2, 2020

This matters because, as he said, “By placing the data and the metadata into a model, which is what the tool does, you gain the abilities for linkages between different objects in the model, linkages that you cannot get on paper or with Visio or PowerPoint.” George H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

AWS Big Data

OCTOBER 4, 2023

Migrating on-premises data warehouses to the cloud is no longer viewed as an option but a necessity for companies to save cost and take advantage of what the latest technology has to offer. This blog post is co-written with Govind Mohan and Kausik Dhar from Cognizant.

Data Warehouse 60

Data Warehouse Cost-Benefit Metadata Data Lake 60

AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. The output will give a count of the number of data and metadata files deleted.

Snapshot 100

Snapshot Data Lake Metadata Optimization 100

Cloudera

SEPTEMBER 29, 2022

This team or domain expert will be responsible for the data produced by the team. The data itself is then treated as a product. The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. What is a data mesh contract?

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74

Octopai

JANUARY 8, 2020

You can’t do this easily without automated data lineage tools. Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze.

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

Jet Global

DECEMBER 1, 2020

Truly efficient and effective reporting requires a BI engine capable of organizing and preprocessing large data sets and managing replication with operational data sources. In addition, it can be very helpful to have a metadata layer in place that can help non-developers make sense of the information in the database.

Finance 78

Finance Data Warehouse OLAP Reporting 78

Octopai

MAY 5, 2020

They collected insights from 293 business and IT professionals across a wide range of industries, shining light on why automation metadata operations and the business glossary are priorities for organizations today. Use Case #2: Daily Data Operations. Another BI challenge comes from everyday metadata management operations.

Metadata 52

Metadata Reporting Data Warehouse Management 52

Cloudera

SEPTEMBER 17, 2020

To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle. This platform, including an ad-hoc capable data warehouse service with built-in, easy-to-use visualization, made it easy for anyone to jump in and start experimenting.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tags provide metadata about resources at a glance.

Snapshot 80

Snapshot Metadata Measurement Data Warehouse 80

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 99

Data Lake Data Warehouse Management Risk 99

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. With a shocking 2.5

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

NOVEMBER 13, 2022

Data lineage is the ability to view the path of data as it flows from source to target within your data ecosystem, along with everything that happened to it along the way. And data lineage solutions will also show you any transformations the data underwent on its journey.

Enterprise 77

Enterprise Data Warehouse Reporting Metadata 77

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. But that’s like ripping a tree out of the forest and trying to get it to grow elsewhere.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

Alation

JULY 28, 2022

But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. And adoption is so significant that many participants have earned notable market capitalization. And what must organizations overcome to succeed at cloud data warehousing ? Many see the cloud as the most secure option.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

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. We also used AWS Lambda for data processing.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

FineReport

MAY 6, 2020

Manajemen data: ETL (Extract, Transform, Load), pengelolaan data, management responsibility, metadata. Analisis big data: pembelajaran konsep data tidak terstruktur. Berikut adalah pernyataan dan fungsi yang perlu diketahui seorang data analyst. Data Warehouse. Skill Data Mining.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

Octopai

MARCH 24, 2020

Every time someone from Marketing or Sales or HR needs a report created or modified, or every time there’s a problem with some data in a report that needs to be sorted ASAP – who do you call? Here is an overview of how automated metadata management makes your business intelligence smarter. BI, obviously. Watch the webinar!

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. So, how can a data catalog support the critical project of building data pipelines?

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73