Cloudera

MAY 16, 2019

The conference provides a useful opportunity to reflect on the rapid evolution we’ve seen in the Data Integration and Management space, much of it driven by the innovations that Cloudera and the open source community have been delivering. The traditional Data Warehouse ETL process has splintered into many smaller components.

Analytics 40

Analytics Data Warehouse Data-driven Data Integration 40

Cloudera

SEPTEMBER 7, 2023

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.

Insurance 78

Insurance Risk Data-driven Modeling 78

IBM Big Data Hub

APRIL 11, 2024

Customers are increasingly accustomed to instant payments through various mobile offerings, and there is a similar “instant” expectation for non-mobile payments that’s causing customers and legislators to put pressure on organizations to modernize the payments ecosystem. How is “instant” defined in the mandate?

Risk 64

Risk Risk Management Optimization Technology 64

Cloudera

NOVEMBER 25, 2021

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. Cloudera and AWS: Harnessing the Power of Data and Cloud . Key advantages to leveraging a hybrid approach include include: .

Machine Learning 86

Machine Learning IoT Risk Digital Transformation 86

Cloudera

MARCH 17, 2022

Data is the true currency of the digital age, and it plays an indispensable role in defining and accelerating the mission of Government agencies. . Every level of government is awash in data (both structured and unstructured) that is perpetually in motion. The Value of Public Sector Data.

IoT 80

IoT Cost-Benefit Data-driven Data Strategy 80

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. People selling information.

Data Governance 71

Data Governance Strategy Enterprise Machine Learning 71

Cloudera

OCTOBER 17, 2023

The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. Use cases such as fraud monitoring, real-time supply chain insight, IoT-enabled fleet operations, real-time customer intent, and modernizing analytics pipelines are driving development activity. Expecting a product to be GA’d.

Data-driven 74

Data-driven Enterprise IoT Data Warehouse 74

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay. The rate at which data is generated has increased exponentially in recent years.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. What is Big Data Fabric?

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

AWS Big Data

JULY 14, 2023

Its mission is to enable FinOps to support the growth and expansion of Amazon businesses. FinAuto has a unique position to look across FinOps and provide solutions that help satisfy multiple use cases with accurate, consistent, and governed delivery of data and related services.

Finance 81

Finance Metadata Big Data Recreation/Entertainment 81

CIO Business Intelligence

APRIL 12, 2022

trillion in 2021, according to financial market data provider Refinitiv. Perforce Software, a privately held provider of software development tools, has agreed to buy the infrastructure automation software platform Puppet. It certainly started off that way, with Microsoft agreeing to pay $68.7 M&A volume climbed from $3.26

Enterprise 143

Enterprise Technology Consulting Software 143