Precisely

JULY 31, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data integrity maturity, challenges, and priorities.

Data Integration 52

Data Integration Telecommunication Data Governance Government 52

Snowflake

APRIL 16, 2025

Enterprises need to rapidly transform raw data into actionable applications, but this often requires expensive infrastructure, coding, custom data analysis and complex integrations. Whats the coolest thing youre doing with data? Why did you choose Snowflake?

Building 59

Building Raw Data Data Analysis Data Security 59

Precisely

OCTOBER 24, 2024

Maintaining data integrity during cloud migration is essential to ensure reliable and high-quality data for better decision-making and future use in advanced applications. You rely on accurate and trustworthy data to drive better decision-making – and anomalies in your data are all too common.

Cloud 111

Cloud Data Integration Insurance Data 111

Snowflake

JUNE 5, 2024

Here are the 2024 winners by category: Industry AI Data Cloud Partners: Financial Services AI Data Cloud Services Partner of the Year: EY Healthcare & Life Sciences AI Data Cloud Services Partner of the Year: Hakkoda Healthcare & Life Sciences AI Data Cloud Product Partner of the Year: IQVIA Media and Entertainment AI Data Cloud Services Partner (..)

Entertainment 127

Entertainment Manufacturing Retail Healthcare 127

Striim

FEBRUARY 26, 2025

new Intercom Reader makes it even easier by enabling seamless real-time data integration from the Intercom platform into your analytics systems. It captures the necessary data and emits WAEvents, which can be propagated to any supported target systems , such as Google BigQuery, Snowflake, or Microsoft Azure Synapse. Striim 5.0s

Data Integration 40

Data Integration Data Collection Data Security Cloud 40

phData: Data Engineering

NOVEMBER 1, 2024

VP of Architecture, Healthcare Industry Survey respondents selected data encryption as the most observed practice organizations are currently using to maintain data security. To ensure data quality, platforms need consistent, automated processes with continuous testing and validation.

Government 52

Government Data Governance Finance Metadata 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. PII data) of each data product, and the access rights for each different group of data consumers.

Architecture 124

Architecture Metadata Kafka Government 124

Data Engineering Weekly

AUGUST 6, 2024

Integration and Extendability A CDC tool's ability to integrate with existing systems and extend its functionalities is crucial. Considerations include: - APIs and SDKs for custom integrations. Compatibility with data integration and orchestration tools. Provide encryption for data in transit and at rest.

Data Lake 125

Data Lake Data Warehouse Database Data Architecture 125

Snowflake

SEPTEMBER 24, 2024

As AI and machine learning become more ubiquitous, the ability to harness and analyze large volumes of data in real time is critical for success. A strong data foundation helps companies ensure compliance with regulations and maintain data security, which are top priorities for handling sensitive customer information.

Hospitality 105

Hospitality Cloud Database-centric Data 105

Precisely

DECEMBER 16, 2024

For example: HIPAA (Health Insurance Portability and Accountability Act) NIST (National Institute of Standards and Technology) PCI DSS (Payment Card Industry Data Security Standard) 3. For example: departmental needs company requirements external regulations Whats the baseline for my company?

Systems 59

Systems IT Machine Learning Insurance 59

Striim

MARCH 4, 2025

Have you ever wondered how the biggest brands in the world falter when it comes to data security? Consider how AT&T, trusted by millions, experienced a breach that exposed 73 million records sensitive details like Social Security numbers, account info, and even passwords.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

Cloudera

NOVEMBER 22, 2021

Rise in polyglot data movement because of the explosion in data availability and the increased need for complex data transformations (due to, e.g., different data formats used by different processing frameworks or proprietary applications). As a result, alternative data integration technologies (e.g.,

Hadoop 94

Hadoop Government Data Security Cloud 94

Towards Data Science

DECEMBER 4, 2023

Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g. Data Lake & Data Integration We’ll face our first challenge while we integrate and consolidate everything in a single place.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

phData: Data Engineering

FEBRUARY 21, 2025

Many companies may choose an on-prem data warehousing solution for quicker data processing to enable business decisions. In the cloud, the physical distance between the data source and the cloud data warehouse region can impact latency. Data integrations and pipelines can also impact latency.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

Cloudera

NOVEMBER 19, 2020

It enables public sector agencies to tap the power of big data and machine learning by managing volume, velocity, and variety of data, bringing unified governance, data integration, and open-source data management capabilities across all cloud and hybrid-cloud environments.

Government 119

Government Machine Learning Algorithm Raw Data 119

Data Engineering Podcast

FEBRUARY 13, 2022

How would you characterize the position of Rudderstack in the current data ecosystem? How do you think about the application of Rudderstack compared to tools for data integration (e.g. What are some of the data privacy primitives that you include to assist with data security/regulatory concerns?

Building 100

Building Hadoop Data Pipeline Metadata 100

Knowledge Hut

OCTOBER 23, 2023

Application Security It focuses on preventing malware from infecting software and devices. A hacked programme might provide access to the data it was supposed to secure. Security starts long before a piece of software or a device is used.

Hospitality 105

Hospitality Education Medical Government 105

Knowledge Hut

DECEMBER 22, 2023

Benefits: Enhanced Security Transparency and Trust Smart Contracts Data Integrity and Auditing Examples: Implementing blockchain-based payment systems, providing secure and transparent transactions for e-commerce websites. Even crypto-currency networks will utilize the various functionalities of blockchain technology.

Entertainment 105

Entertainment Machine Learning Utilities Google Cloud 105

Cloudera

SEPTEMBER 12, 2022

A data fabric answers perhaps the biggest question of all: what data do we have to work with? Managing and making individual data sources available through traditional enterprise data integration, and when end users request them, simply does not scale — especially in light of a growing number of sources and volume.

Unstructured Data 75

Unstructured Data Data Lake Data Architecture Data 75

Monte Carlo

MAY 31, 2023

In a data-driven world, data integrity is the law of the land. And if data integrity is the law, then a data quality integrity framework is the FBI, the FDA, and the IRS all rolled into one. Because if we can’t trust our data, we also can’t trust the products they’re creating.

Building 52

Building Data Validation Healthcare Data Integration 52

Precisely

JANUARY 27, 2023

Data plays a central role here. Powerful customer engagement hinges on high levels of data integrity, effective data governance programs, and a clear vision of how CX can be a differentiator. Such efforts can be embarrassing and are completely avoidable with high-quality data.

High Quality Data 105

High Quality Data Data Governance Government Banking 105

Precisely

DECEMBER 8, 2023

In the context of this change, business leaders recognize the pressing need for data-driven decision-making. Without data integrity, however, initiatives to enable data-driven decisions will fail to meet expectations. What is data integrity ? What is Data Governance?

Data Governance 69

Data Governance Government Datasets Programming 69

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Meta-Orchestration .

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Banking 103

Banking Raw Data High Quality Data Cloud 103

Cloudera

MARCH 5, 2024

With built-in features like time travel, schema evolution, and streamlined data discovery, Iceberg empowers data teams to enhance data lake management while upholding data integrity.

Data Lake 87

Data Lake Data Storage Government Kafka 87

Knowledge Hut

MAY 22, 2024

It creates the foundation for your assets and requires institutions to ensure uniform, precise, trustworthy, and secure data. If the information is imprecise or has been tampered with, it could signify a cyber-attack, vulnerability, or security incident. Alteration : When data is altered or modified.

IT 98

IT Banking Healthcare Finance 98

Knowledge Hut

APRIL 25, 2024

As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever. Data Integration Data integration is the process of combining information from several sources to give people a cohesive perspective.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Edureka

APRIL 22, 2025

Stronger data validation checks, cleaning processes, and governance systems are being built into data engineering solutions to make sure that data is correct, safe, and reliable. Companies all over the world will keep checking that they are following global data security rules like GDPR.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

Cloudera

SEPTEMBER 27, 2023

As data ecosystems evolve security becomes a paramount concern, especially within the realm of private cloud environments. release , the journey towards a more secure data ecosystem continues — one where businesses can unlock the full potential of their data with peace of mind. With the latest 7.1.9

Transportation 87

Transportation Healthcare Data Cloud 87

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

JUNE 4, 2024

Some of these are GDPR (General Data Protection Regulation), PCI DSS (Payment Card Industry Data Security Standards), HIPAA (Health Insurance Portability and Accountability Act), and so on. To create an operative cyber security strategy, certain key elements are necessary to obtain. These are: 1.

Insurance 98

Insurance Data Security Education Technology 98

Knowledge Hut

APRIL 23, 2024

With firms generating vast volumes of data, proficient EDW management is more crucial than ever. Managing an EDW requires the creation of intricate data models, formulation of data integration strategies, and the implementation of ETL (Extract, Transform, and Load) procedures to bring data into the warehouse.

Database 52

Database Management Relational Database SQL 52

Edureka

AUGUST 1, 2023

From decentralized transactions to enhanced data security, here are five key ways in which blockchain technology matters. In this blog post, we will explore the bigger picture of blockchain technology and its impact on various sectors.

Technology 52

Technology Finance Government Certification 52

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

Striim

FEBRUARY 19, 2024

Innovations like Data Mesh and Data Fabric have emerged as solutions, offering new ways to manage data effectively and derive actionable insights. Business Value: Operational Efficiency : Automates data integration and management tasks, significantly reducing manual efforts and streamlining operations.

Data Integration 52

Data Integration Data Government Data Governance 52

Knowledge Hut

DECEMBER 26, 2023

Risk Management Risk management, data integrity, security awareness training, and risk analysis are all covered by cyber security. The security of sensitive information is another issue covered by data security.

Hospitality 98

Hospitality Finance Electronics Retail 98

Knowledge Hut

APRIL 20, 2023

The following are some of the key reasons why data governance is important: Ensuring data accuracy and consistency: Data governance helps to ensure that data is accurate, consistent, and trustworthy. This helps organisations make informed decisions based on reliable data.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59