Cloudera

FEBRUARY 4, 2021

I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Supporting the industry’s risk data depository and data management needs. End-to-end Data Lifecycle.

Technology 88

Technology Data Management Management Insurance 88

Edureka

APRIL 22, 2025

It lets you describe data more complexly and make predictions. AI-powered data engineering solutions make it easier to streamline the data management process, which helps businesses find useful insights with little to no manual work. This will help make better analytics predictions and improve data management.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This means you can expect simpler data management and drastically improved productivity for your business users.

Certification 84

Certification Data Management Management Cloud 84

phData: Data Engineering

NOVEMBER 1, 2024

Monitor and Adapt: Continuously assess the impact of GenAI on data governance practices and be prepared to adapt policies as technologies evolve. Data governance is the only way to ensure those requirements are met. Chief Technology Officer, Finance Industry For all the quotes, download the Trendbook today!

Government 52

Government Data Governance Finance Metadata 52

U-Next

SEPTEMBER 7, 2022

Maintaining communication with your staff, which necessitates correct employee data , is one approach to improve it. . What Is Employee Data Management? . Employee database management is a self-service system that allows employees to enter, update and assess their data. Improved Data Security and Sharing.

Data Management 52

Data Management Management Electronics Database 52

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g., difficulty to achieve cross-organizational governance model).

Architecture 124

Architecture Metadata Kafka Government 124

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. What do you have planned for the future of Privacera?

Data Governance 130

Data Governance Government Cloud Building 130

Snowflake

FEBRUARY 5, 2024

Mining unstructured data will be key to unlocking novel analytics Companies that can harness unstructured data for gen AI-enabled insights will be able to open up new analytics use cases in every subsector — from banking and asset management to payments and insurance. The possibilities are endless.

Unstructured Data 126

Unstructured Data Banking Government Insurance 126

Data Engineering Podcast

AUGUST 27, 2018

In this episode Ellison Anny Williams, CEO of Enveil, describes how her company uses homomorphic encryption to ensure that your analytical queries can be executed without ever having to decrypt your data. identifying individuals based on geographic data, or purchase patterns) What do you have planned for the future of Enveil?

Transportation 100

Transportation Hadoop Data Security Architecture 100

Cloudera

SEPTEMBER 17, 2020

Data for Enterprise AI. Data for Good. Data Security & Governance. Enterprise Data Cloud. Service Management Group. Security and Governance. Security and Governance. Security and Governance. Security and Governance. Security and Governance. Security and Governance.

Banking 98

Banking Medical Government Data Security 98

Cloudera

OCTOBER 18, 2021

Data Lifecycle Connection . Read more about the Data Lifecycle Connection category here . Data Security and Governance . Read more about the Data Security and Governance category here . Carl Olofson, Research VP, Data Management Software, IDC – Industry Transformation . Carrefour Spain .

Banking 111

Banking Transportation Government Consulting 111

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

APRIL 2, 2024

I am pleased to announce that Cloudera has achieved FedRAMP “In Process”, a significant milestone that underscores our commitment to providing the public sector with secure and reliable data management solutions across on-prem, hybrid and multi-cloud environments.

Designing 101

Designing Process Government Metadata 101

ThoughtSpot

JUNE 23, 2023

AI-assisted data modeling on shared data workloads Data sharing is critical to inform decision making across the organization. Snowflake eliminates the data sharing complexities of traditional data pipelines —making data secure, governed, and easily ready to query.

Cloud 105

Cloud Programming Language Government Data Security 105

DataKitchen

DECEMBER 9, 2024

The team used DataKitchen’s DataOps Automation Software, which provided one place to collaborate and orchestrate source code, data quality, and deliver features into production. Get the Data Securing data was another critical phase. The following diagram shows what the initial infrastructure looked like.

Pharmaceutical 65

Pharmaceutical Data Lake Cloud Storage Project 65

Knowledge Hut

MARCH 7, 2024

This implies two things, one, the data coming from one source is out of date when compared to another source. Two, it creates a commonality of data definitions, concepts, metadata and the like. Organizations often have to setup the right personnel, policies and technology to ensure that data governance is achieved.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Jesse Anderson

NOVEMBER 15, 2022

My guest this week is Kulani Likotsi , the Head of Data Management and Data Governance at one of the four biggest banks in Africa. She’s had a rising career journey going from an analyst, to a Business Intelligence developer, to the data warehouse team, to the data governance team.

Data Governance 130

Data Governance Government Banking Business Intelligence 130

Cloudera

AUGUST 1, 2024

The survey, ‘ The State of Enterprise AI and Modern Data Architecture ’ uncovered the challenges and barriers that exist with AI adoption, current enterprise AI deployment plans, and the state of data infrastructures and data management.

Data Architecture 82

Data Architecture Architecture Deep Learning Data Security 82

Data Engineering Podcast

MARCH 11, 2018

Contact Info Website pramodsadalage on GitHub @pramodsadalage on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? You first co-authored Refactoring Databases in 2006. You first co-authored Refactoring Databases in 2006.

Database 100

Database MongoDB NoSQL Database Design 100

U-Next

MARCH 8, 2023

In this article, we’ll discuss the value of SQL in contemporary business operations and why both data experts and business managers now consider it a must-have talent. Efficient Data Management: The capacity of SQL to effectively manage vast amounts of data is one of its greatest advantages.

SQL 97

SQL Relational Database Database Programming Language 97

Towards Data Science

DECEMBER 15, 2023

Having principles around how we think about data retention and usage are important to help guide us in these situations. Institutional Considerations While I am on this topic of data management, I should mention—I recently started a new role! There’s no silver bullet answer to “how much should we keep?”,

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

François Nguyen

MARCH 7, 2021

In this article, Juan Sequada gives maybe one of the best definition of Data Mesh ” It is paradigm shift towards a distributed architecture that attempts to find an ideal balance between centralization and decentralization of metadata and data management.”

Government 130

Government Data Governance Data Metadata 130

Cloudera

NOVEMBER 19, 2020

For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management. Inordinate time and effort are devoted to cleaning and preparing data, resulting in data bottlenecks that impede effective use of anomaly detection tools.

Government 119

Government Machine Learning Algorithm Raw Data 119

Snowflake

OCTOBER 26, 2023

An inconsistent data set introduces biases and inaccuracies, which can have profound consequences for clinicians or scientists using an AI model for patient health.

Healthcare 105

Healthcare Unstructured Data High Quality Data Medical 105

Data Engineering Podcast

NOVEMBER 6, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Business Intelligence 100

Business Intelligence PostgreSQL BI Data Warehouse 100

phData: Data Engineering

FEBRUARY 21, 2025

A data warehouse acts as a single source of truth for an organization’s data, providing a unified view of its operations and enabling data-driven decision-making. A data warehouse enables advanced analytics, reporting, and business intelligence.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

Data Engineering Podcast

FEBRUARY 6, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data 100

Data Data Pipeline Metadata Software Engineer 100

Data Engineering Podcast

FEBRUARY 13, 2022

In this episode CEO and founder Soumyadeb Mitra explains how Rudderstack compares to the various other tools and platforms that share some overlap, how to set it up for your own data needs, and how it is architected to scale to meet demand. What is the process of getting started with Rudderstack as a software or data platform engineer?

Building 100

Building Hadoop Data Pipeline Metadata 100

Snowflake

SEPTEMBER 19, 2024

In highly regulated industries where data security is critical, like healthcare and life sciences, it’s important to develop a governance framework to put these data protections in place. The move accounted for an estimated $4 million in cost savings.

Telecommunication 98

Telecommunication Hospitality Entertainment Retail 98

Data Engineering Weekly

AUGUST 6, 2024

Essential Features The core functionalities that make the CDC tool robust and effective include: - Low-latency data capture and delivery. Reliable change data capture mechanisms (e.g., Support for schema evolution and data type transformations. Ensure data consistency and integrity during capture and delivery.

Data Lake 125

Data Lake Data Warehouse Database Data Architecture 125

Cloudera

JULY 29, 2021

Security and governance in a hybrid environment. Public, private, hybrid or on-premise data management platform. Analytics that are simple to use and manage for actionable insights. Structure for unstructured data sources such as clinical & physician notes, photos, etc. Lunch and refreshments will be provided.

Healthcare 102

Healthcare Unstructured Data Government Machine Learning 102

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. Privitar will bring "data security" stuff. This is where you should use pre-commit and SQLFluff.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Snowflake

APRIL 18, 2024

With Snowflake, security teams don’t have to work around these data retention windows. Instead, all data is always accessible for analysis, which simplifies cost planning and the data management strategy. It’s important here to understand how this pricing model works.

Data Lake 108

Data Lake Data Ingestion Bytes Cloud Computing 108

Cloudera

AUGUST 8, 2024

Cloudera’s data lakehouse provides enterprise users with access to structured, semi-structured, and unstructured data, enabling them to analyze, refine, and store various data types, including text, images, audio, video, system logs, and more. These large, regulated organizations depend heavily on data management and security.

Pharmaceutical 72

Pharmaceutical Unstructured Data Government Data Ingestion 72

Cloudera

OCTOBER 28, 2020

Given the complexity and variety of traditional and newer sources of data, financial services providers are reinventing their data management and analytics strategy—transitioning to a multi-function, open platform that is optimized for the massive scale and security of the data that the industry demands.

Unstructured Data 74

Unstructured Data Banking Machine Learning Media 74

Cloudera

DECEMBER 16, 2022

We’re proud to be recognized for the data management and data analytics innovations we have delivered in the new Cloudera Data Platform (CDP). For example, Gartner has provided very pointed guidance on the urgency and inevitability of hybrid and multi-cloud for data management.

Database 92

Database Cloud Systems Management 92

Knowledge Hut

APRIL 20, 2023

It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59