Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Sisense

OCTOBER 6, 2020

Traditional methods of gathering and organizing data can’t organize, filter, and analyze this kind of data effectively. What seem at first to be very random, disparate forms of qualitative data require the capacity of data warehouses , data lakes , and NoSQL databases to store and manage them.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Alation

JANUARY 26, 2023

Control access Ensure that access to data is granted only on a need-to-know basis. This means that different access policies are applied to different sets of data. Enable two-factor authentication Two-factor authentication adds an extra layer of security to your system. Adopt an approach of access segregation.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

DataKitchen

NOVEMBER 29, 2021

For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake. The Hub-Spoke architecture is part of a data enablement trend in IT. Data that flows through the Hub-Spoke data architecture will be controlled and managed by workflows located in a centralized process hub.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 97

Data Warehouse Data Lake Analytics Machine Learning 97

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time. To get started with this feature, see Querying the AWS Glue Data Catalog.

Data Analytics 88

Data Analytics Analytics Data Warehouse Data Lake 88

CIO Business Intelligence

APRIL 4, 2023

AI working on top of a data lakehouse, can help to quickly correlate passenger and security data, enabling real-time threat analysis and advanced threat detection. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. Want to learn more?

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

CIO Business Intelligence

SEPTEMBER 21, 2022

However, as data enablement platform, LiveRamp, has noted, CIOs are well across these requirements, and are now increasingly in a position where they can start to focus on enablement for people like the CMO.

Risk 104

Risk Data Lake Marketing Interactive 104

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

CIO Business Intelligence

JANUARY 30, 2024

CIOs — who sign nearly half of all net-zero services deals with top providers, according to Everest Group analyst Meenakshi Narayanan — are uniquely positioned to spearhead data-enabled transformation for ESG reporting given their data-driven track records.

Reporting 114

Reporting Data Quality Strategy Data-driven 114

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Sisense

DECEMBER 11, 2019

Similarly, Kyle outlined how Flexport , the world’s first international freight forwarder and customs brokerage built around an online dashboard, uses Periscope Data to analyze billions of records, and get answers in seconds. Kongregate has been using Periscope Data since 2013. shone the spotlight on best practices with data lakes.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

Publishing 82

Publishing Dashboards Visualization Management 82

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 88

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 88

Ontotext

AUGUST 4, 2023

As a design concept, data fabric requires a combination of existing and emergent data management technologies beyond just metadata. Data fabric does not replace data warehouses, data lakes, or data lakehouses.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. How Data Catalogs Can Help. [2] -->.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

Alation

FEBRUARY 20, 2020

Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. In a recent webinar,“ Ready for a Machine Learning Data Catalog?

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

erwin

JULY 17, 2019

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52