Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. But when it’s dirty, stagnant, or hard to unleash, your business will suffer. Benefits of a Data Lake.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

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 130

IT Business Intelligence Sales Key Performance Indicator 130

CIO Business Intelligence

OCTOBER 19, 2022

The focus is on business model change, not just another technology tool in the bag.” CIOs at the center of digital transformation Even as I write this, I realize that my first three quotes are not from chief information officers, but from chief information digital officers.

IT 121

IT Digital Transformation Data Warehouse Risk 121

CIO Business Intelligence

JUNE 6, 2023

This idea, which is sometimes called a “data mesh,” is compelling to the many organizations seeking to both digitally transform and become more data driven. The same should apply to the data that people in organizations need.” However, most enterprises treat data as a centralized and protected asset.

Management 52

Management Data Warehouse Data Lake Digital Transformation 52

CIO Business Intelligence

OCTOBER 18, 2022

One pulse sends 150 bytes of data. So, each band can send out 500KB to 750KB of data. To handle the huge volume of data thus generated, the company is in the process of deploying a data lake, data warehouse, and real-time analytical tools in a hybrid model. Digital Transformation, RFID

Data Lake 98

Data Lake Cost-Benefit Digital Transformation Data Warehouse 98

IBM Big Data Hub

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent.

Machine Learning 66

Machine Learning Data Warehouse Modeling Cost-Benefit 66

Alation

JUNE 9, 2021

We have an explosion, not only in the raw amount of data, but in the types of database systems for storing it ( db-engines.com ranks over 340) and architectures for managing it (from operational datastores to data lakes to cloud data warehouses). Organizations are drowning in a deluge of data.

Data Governance 59

Data Governance Data-driven Machine Learning Data Lake 59

AWS Big Data

APRIL 4, 2024

With a powerful set of solutions, Aura enables complete digital transformation, letting operators promote key services outside the store, directly on-device. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 64

Big Data Data Warehouse Advertising OLAP 64

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Without context, streaming data is useless.”

Data Lake 89

Data Lake Manufacturing Metadata Dashboards 89

Sisense

MARCH 24, 2020

. “The dashboard is a powerful and effective collaboration tool that makes complex data easily comprehensible for everyone within customers’ organizations,” Said Sivan More, Global Director of Customer Success at Sisense, “It’s a vital way of visualizing business intelligence and revealing game-changing insights to all.

Dashboards 90

Dashboards IT Visualization Data Lake 90

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 85

Data Lake Data Warehouse Data-driven B2B 85

CIO Business Intelligence

AUGUST 3, 2023

As well as keeping its current data accurate and accessible, the company wants to leverage decades of historical data to identify potential risks to ship operations and opportunities for improvement. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 95

Analytics Data Lake Metadata Cost-Benefit 95

CIO Business Intelligence

AUGUST 3, 2022

“To solve this, we’ve kept data engineering in IT, but embedded machine learning experts in the business functions. Core customer data stays pristine in the data warehouse, but the business functions can experiment in a cloud-based enterprise data lake. Transformational leadership.

Finance 139

Finance IoT Digital Transformation Sales 139