Cloudera

AUGUST 27, 2020

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. The post Connect the Data Lifecycle: The power of data appeared first on Cloudera Blog.

Internet of Things 100

Internet of Things Data Lake Uncertainty IoT 100

BizAcuity

APRIL 1, 2023

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

Data Virtualization

OCTOBER 18, 2022

The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. In times of potentially troublesome change, the apparent paradox and inner poetry of these.

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98

erwin

DECEMBER 13, 2018

Managing data from going over the edge: Edge computing will continue to take hold. And while speed of data is driving its adoption, organizations will also need to view, manage and secure this data and bring it into an automated pipeline. To stay up to date, click here to subscribe.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

AWS Big Data

JANUARY 8, 2024

Therefore, it is critical for organizations to embrace a low-latency, scalable, and reliable data streaming infrastructure to deliver real-time business applications and better customer experiences.

Analytics 115

Analytics IoT Data-driven Snapshot 115

BizAcuity

MARCH 1, 2019

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. At the backend, based on the data collected, data is stored in data lakes. Evolution of Internet of Things.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Data Virtualization

JUNE 2, 2023

The post The Energy Utilities Series: Challenges and Opportunities of Decarbonization (Post 2 of 6) appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Decarbonization is the process of transitioning from.

Data Integration 52

Data Integration Internet of Things Management Data Lake 52

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics.

IoT 73

IoT Prescriptive Analytics Digital Transformation Internet of Things 73

Data Virtualization

DECEMBER 1, 2023

The post The Energy Utilities Series: Challenge 3 – Digitalization (Post 4 of 6) appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In earlier posts, I discussed the challenges of decarbonization and electrification. In this post, I’m focusing on.

Data Integration 40

Data Integration Management Internet of Things Analytics 40

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

datapine

AUGUST 29, 2022

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Alation

FEBRUARY 20, 2020

Today, CDOs in a wide range of industries have a mechanism for empowering their organizations to leverage data. As data initiatives mature, the Alation data catalog is becoming central to an expanding set of use cases. Governing Data Lakes to Find Opportunities for Customers. Subscribe to Alation's Blog.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Subscribe to Alation's Blog.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable.

Modeling 84

Modeling Big Data IoT Data Warehouse 84