Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

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 Unstructured Data 88

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. In banks, this means: Setting data format standards. Identifying structured and unstructured data that needs to be protected.

Data Governance 52

Data Governance Data Strategy Strategy Unstructured Data 52

AWS Big Data

FEBRUARY 22, 2023

Amazon S3 is an object storage service with very high scalability, durability, and security, which makes it an ideal storage layer for a data lake. AWS DMS is a database migration tool that supports many relational database management services, and also supports Amazon S3. This raw data is stored in the raw layer of the S3 data lake.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. Master data management. Data governance. Data pipelines.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

JANUARY 29, 2025

Businesses require powerful and flexible tools to manage and analyze vast amounts of information. Amazon EMR has long been the leading solution for processing big data in the cloud. Additionally, Oktank must comply with data residency requirements, making sure that confidential data is stored and processed strictly on premises.

Big Data 68

Big Data Data Analytics Analytics Interactive 68