Data Engineering Podcast

OCTOBER 26, 2020

If you are putting your workflows into production, then you need to consider how you are going to implement data security, including access controls and auditing. Different databases and storage systems all have their own method of restricting access, and they are not all compatible with each other.

Data Security 100

Data Security Coding Cloud MongoDB 100

Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data.

Data Security 118

Data Security IT Unstructured Data Government 118

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. Modernization has been a boon to government. Some experts estimate the U.S.

Government 117

Government Machine Learning Algorithm Raw Data 117

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

APRIL 2, 2024

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. FedRAMP requires that we meet strict security standards to protect government data.

Designing 99

Designing Process Government Metadata 99

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Snowflake

FEBRUARY 5, 2024

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. They’ll prioritize data solutions that work across clouds.

Unstructured Data 100

Unstructured Data Banking Government Insurance 100

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. Shared Data Experience (SDX).

Technology 88

Technology Data Management Management Insurance 88

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Telecommunication 75

Telecommunication Data Architecture Government Architecture 75

Snowflake

OCTOBER 26, 2023

But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI.

Healthcare 85

Healthcare Unstructured Data High Quality Data Medical 85

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 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 Government Kafka 124

Striim

FEBRUARY 19, 2024

Overview of Data Mesh Data Mesh is a decentralized architectural approach designed to address large-scale data management issues by promoting domain-oriented data ownership and self-serve data infrastructure. This makes it more valuable and easy to access for everyone in the organization.

Data Integration 52

Data Integration Government Data Data Governance 52

Knowledge Hut

APRIL 25, 2024

Data management The process of obtaining, storing, and using data in a cost-effective, effective, and secure way is known as data management. As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. Finally, throw in the constant stream of cyberthreats out there and it’s clear that protecting your enterprise’s data is vital. Toolsets and strategies have had to shift to ensure controlled access to data.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Towards Data Science

DECEMBER 15, 2023

Taking a hard look at data privacy puts our habits and choices in a different context, however. Data scientists’ instincts and desires often work in tension with the needs of data privacy and security. Anyone who’s fought to get access to a database or data warehouse in order to build a model can relate.

Machine Learning 92

Machine Learning Data Science Data Security Data Storage 92

ThoughtSpot

JUNE 23, 2023

ThoughtSpot Sage empowers non-technical users to run live analysis on top of Snowpark data models, using natural language search to forecast trends and better predict business outcomes. AI-assisted data modeling on shared data workloads Data sharing is critical to inform decision making across the organization.

Cloud 79

Cloud Programming Language Government Data Security 79

Precisely

MAY 13, 2024

The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions. A data catalog is a foundational component of any data strategy, providing a go-to knowledge base of data for users across an enterprise.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Cloudera

SEPTEMBER 15, 2023

Access and the exchange of data is critical for managing the operations in many industries. In government services keeping citizens safe and protected — awareness and real-time data access is key. In government services keeping citizens safe and protected — awareness and real-time data access is key.

Telecommunication 79

Telecommunication AWS Retail Amazon Web Services 79

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Knowledge Hut

OCTOBER 23, 2023

Cyber security is governed by the industry standard of confidentiality, integrity, and availability, or CIA. Only authorized users can access data; only authorized users can add, alter, or remove information. The usage of authentication systems is a key component of Cyber Security.

Hospitality 105

Hospitality Medical Education Government 105

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. This is one of the disadvantages of big data in healthcare.

Big Data 52

Big Data Media Government Big Data Skills 52

Monte Carlo

JUNE 6, 2023

Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain. Table of Contents Why is important to answer who is responsible for data quality?

Data Governance 98

Data Governance Government Data Data Engineering 98

Knowledge Hut

JANUARY 3, 2024

Some of the benefits introduced by cloud solutions include data security, flexibility, efficiency, and high performance. However, the Cloud is not perfect and has its own set of drawbacks when it comes to data management and privacy concerns. Thus, there are various benefits and challenges of cloud computing. Learn More!

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Government 52

Towards Data Science

JUNE 8, 2023

Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain. Why is data quality ownership important? Used with permission: source.

Data Governance 77

Data Governance Government Generalist Data Engineering 77

Knowledge Hut

DECEMBER 26, 2023

A growing amount of information is becoming digital and accessible through wireless and wired digital communication networks in addition to the pervasive internet. Monitoring for network security may be done manually or automatically using the software. Various cyber security applications ensure IAM across an organization.

Hospitality 98

Hospitality Finance Electronics Retail 98

Databand.ai

AUGUST 30, 2023

Integrating these principles with data operation-specific requirements creates a more agile atmosphere that supports faster development cycles while maintaining high quality standards. This demands the implementation of advanced data integration techniques, such as real-time streaming ingestion, batch processing, and API-based access.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. To quote Gartner VP Sid Nag, the “irrational exuberance of procuring cloud services” gave way to a more rational approach that prioritizes governance and security over which cloud to migrate workloads to, be it public, private, or hybrid. .

Cloud 87

Cloud Government Cloud Computing Data Architecture 87

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

Striim

FEBRUARY 5, 2024

The 4 Key Pillars of Data Fabric How Striim Supports Data Fabric Implementation Empowering GenAI Innovation Implementation Strategies for Data Fabric in Your Organization Real-World Applications of Data Fabric Transforming Data Challenges with Data Fabric and Striim What is Data Fabric?

Pharmaceutical 52

Pharmaceutical Data Cleanse Metadata Medical 52

Knowledge Hut

JULY 24, 2023

Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data. Disruptive database technologies are on them.

Database 52

Database NoSQL Management Relational Database 52

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 90

Database Cloud Systems Management 90

Cloudera

JUNE 22, 2023

The top-line benefits of a hybrid data platform include: Cost efficiency. A hybrid data platform enables the preservation of existing investments in legacy applications and workloads without modifying them. It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

Cloudera

JULY 29, 2021

Securely protecting healthcare data is critical for your organization’s success, whether data is ingested, streamed and stored in a data platform that runs in the public, private or hybrid cloud. Security and governance in a hybrid environment. Public, private, hybrid or on-premise data management platform.

Healthcare 101

Healthcare Unstructured Data Government Machine Learning 101

Knowledge Hut

APRIL 23, 2024

Small Data is well-suited for focused decision-making, where specific insights drive actions. Big Data vs Small Data: Storage and Cost Big Data: Managing and storing Big Data requires specialized storage systems capable of handling large volumes of data. How they are Similar?

Big Data 52

Big Data Datasets Data Analysis Media 52

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Future-proof data capabilities.

Banking 84

Banking Management Data Lake Professional Services 84

Edureka

AUGUST 28, 2023

As a decentralized and tamper-proof digital ledger, blockchain holds the promise of enhancing security, transparency, and efficiency in transactions and data management. Overview Upcoming Trends Future in different sectors Government Sector Finance Sector Medical Sector Marketing Sector How did this demand suddenly arrive?

Medical 52

Medical Healthcare Finance Database-centric 52