Precisely

JANUARY 9, 2023

As data initiatives become more sophisticated, organizations will uncover new data quality challenges. Requirements for data to be more easily accessible, at even faster rates, will continue to grow in 2023, and organizations will need to adapt their data quality practices to keep pace with the demand for new modern use cases.

Data Integration 81

Data Integration Data Governance Government Data 81

Precisely

JULY 17, 2023

And trusted data needs data integrity – maximum accuracy, consistency, and context. Cleansing and enriching data due to inefficient cleansing processes, address data inconsistencies, and limited access to external datasets. That’s where the Precisely Data Integrity Suite comes in.

Data Integration 52

Data Integration Data Cleanse Data Governance Government 52

Monte Carlo

JANUARY 19, 2024

Just because it looked good yesterday doesn’t mean it’ll hold up tomorrow – and that’s why we’re talking about data integrity testing today. Data integrity testing is the process of ensuring data is fit for the task at hand and available to only those who should have access.

Data Integration 52

Data Integration Retail SQL Data Pipeline 52

Precisely

JUNE 15, 2023

To generate meaningful business value, however, telecom companies must develop and sustain high levels of data integrity within their telecom data. Telecoms face a multitude of challenges as they strive to maintain trust in their data. Data quality, likewise, is a persistent problem for many telecom organizations.

Data Integration 52

Data Integration Telecommunication Data Government 52

Hevo

MARCH 28, 2024

SQL Server enhances data analysis through its orderly storage structure. You can optimize data querying by accessing JSON data […] If you have large datasets in JSON format, consider migrating them to SQL Server.

SQL 52

SQL Data Integration Datasets Data Analysis 52

Precisely

APRIL 11, 2023

What existing data does the organization have to support my initiative? Where does that data live? Do I have access to the data? What do I need to do to access the data now and make it easy to find and access in the future? How can I ensure the data is up-to-date and issue-free moving forward?

Accessible 52

Accessible Accessibility Metadata Data Integration 52

Data Engineering Podcast

AUGUST 27, 2021

Summary The reason that so much time and energy is spent on data integration is because of how our applications are designed. By making the software be the owner of the data that it generates, we have to go through the trouble of extracting the information to then be used elsewhere. What is Zero-Copy Integration?

Data Integration 100

Data Integration Architecture Data Warehouse Data Lake 100

Data Engineering Podcast

FEBRUARY 22, 2021

Summary Data integration is a critical piece of every data pipeline, yet it is still far from being a solved problem. The team at Airbyte is adding a new entry to that list with the goal of making robust and easy to use data integration more accessible to teams who want or need to maintain full control of their data.

Data Integration 100

Data Integration Data Warehouse Data Pipeline BI 100

Precisely

MARCH 23, 2023

You need a flexible framework to efficiently identify, understand, and link the underlying data elements required for accurate, consistent, and contextualized ESG reporting. In summary: your ESG data needs data integrity. The post Why You Need Data Integrity for ESG Reporting appeared first on Precisely.

Data Integration 52

Data Integration Government High Quality Data Data 52

Databand.ai

JUNE 22, 2023

Ryan Yackel June 22, 2023 What Is Data Integrity? Data integrity is concerned with the accuracy, consistency, and reliability of data stored in databases or other data storage systems. Entity integrity: Ensures each row in a database table is uniquely identifiable.

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Data Integration Medical Healthcare Education 52

Precisely

MARCH 14, 2023

First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. Cloud-native data execution is just the beginning. How could streamlined access to quality data benefit your organization?

Data Integration 52

Data Integration High Quality Data BI Data 52

Data Engineering Podcast

NOVEMBER 30, 2020

Summary The first stage of every good pipeline is to perform data integration. With the increasing pace of change and the need for up to date analytics the need to integrate that data in near real time is growing. There are a number of projects and platforms on the market that target data integration.

Data Integration 100

Data Integration Coding BI Kafka 100

Precisely

MARCH 6, 2023

Read Financial Services ESG Reporting: The essential role of data Financial organizations are now assessing how they can derive more environmental, social and governance insights, while optimizing reporting through their existing infrastructure.

Data Integration 52

Data Integration Government Data Governance Datasets 52

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

Grouparoo

DECEMBER 7, 2021

Integrity is a critical aspect of data processing; if the integrity of the data is unknown, the trustworthiness of the information it contains is unknown. What is Data Integrity? Data integrity is the accuracy and consistency over the lifetime of the content and format of a data item.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

Precisely

FEBRUARY 6, 2023

The success of all of those investments hinges on high levels of data integrity. Data infrastructure spending is expected to reach $200 billion in 2022, and 68% of Fortune 1000 businesses now have hired Chief Digital Officers, elevating data integrity to the level of the C-suite. What Is Data Integrity?

Data Integration 52

Data Integration Data Governance Government Raw Data 52

Databand.ai

JUNE 20, 2023

Niv Sluzki June 20, 2023 What Is Data Integrity? Data integrity refers to the overall accuracy, consistency, and reliability of data stored in a database, data warehouse, or any other information storage system.

Data Integration 52

Data Integration Data Validation Pharmaceutical Data Cleanse 52

Databand.ai

JUNE 21, 2023

Eric Jones June 21, 2023 What Are Data Integrity Tools? Data integrity tools are software applications or systems designed to ensure the accuracy, consistency, and reliability of data stored in databases, spreadsheets, or other data storage systems. In this article: Why Are Data Integrity Tools Important?

Data Integration 52

Data Integration Data Cleanse Data Validation Telecommunication 52

Monte Carlo

JUNE 16, 2023

Data integrity and quality may seem similar at first glance, and they are sometimes used interchangeably in everyday life, but they play unique roles in successful data management. You can have data quality, without data integrity.

Data Integration 52

Data Integration Hospitality Banking Healthcare 52

Monte Carlo

MARCH 24, 2023

However, the data is not valid because the height information is incorrect – penguins have the height data for giraffes, and vice versa. The data doesn’t accurately represent the real heights of the animals, so it lacks validity. What is Data Integrity? How Do You Maintain Data Integrity?

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 52

Data Engineering Podcast

OCTOBER 5, 2020

Summary Analytical workloads require a well engineered and well maintained data integration process to ensure that your information is reliable and up to date. Building a real-time pipeline for your data lakes and data warehouses is a non-trivial effort, requiring a substantial investment of time and energy.

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Data Integration Kafka Data Lake Machine Learning 100

Precisely

JULY 21, 2023

Confluent data streams help accelerate innovation for data and analytics initiatives – but only when sourcing from data you can trust. Precisely – the global leader in data integrity and a proud Connect with Confluent program member – helps you build trust in your data to derive the insights your business users need.

Data Integration 52

Data Integration Kafka Bytes Banking 52

Precisely

JANUARY 25, 2023

Financial institutions are using data in a myriad of different ways, from know-your-customer (KYC) compliance to marketing insights and channel optimization, from risk assessment and fraud detection to innovative AI and machine learning initiatives. This post examines the practical implications of poor data integrity.

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Data Integration Banking IT Machine Learning 52

Ascend.io

APRIL 12, 2023

So when we talk about making data usable, we’re having a conversation about data integrity. Data integrity is the overall readiness to make confident business decisions with trustworthy data, repeatedly and consistently. Data integrity is vital to every company’s survival and growth.

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Data Pipeline Data Integration Datasets Data 52

Snowflake

JUNE 5, 2024

In the midst of this year’s AI Data Cloud Summit , we announced the 2024 Snowflake Partner Awards, recognizing 36 partners that are winning together with Snowflake and honoring them for their continued commitments and investments as we bring value to our customers.

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Entertainment Manufacturing Retail Healthcare 96

Precisely

MAY 16, 2024

Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Adopt strategic practices in data integration, quality management, governance, spatial analytics, and data enrichment.

Amazon Web Services 69

Amazon Web Services AWS Data Integration Datasets 69

Knowledge Hut

MAY 22, 2024

Confidentiality Confidentiality in information security assures that information is accessible only by authorized individuals. It involves the actions of an organization to ensure data is kept confidential or private. Simply put, it’s about maintaining access to data to block unauthorized disclosure.

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IT Banking Healthcare Finance 98

Data Engineering Podcast

MARCH 18, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. But don't worry, there is a better way.

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Data Security Machine Learning Data Science Metadata 130

Snowflake

SEPTEMBER 7, 2023

We are excited to announce the public preview of External Access, which enables customers to reach external endpoints from Snowpark seamlessly and securely. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

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Amazon Web Services AWS Government Python 119

Towards Data Science

MAY 7, 2024

meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares. These are primarily collected with cloud based integration platforms such as, but not limited to Fivetran, Airbyte, and Rivery in mind, but could apply to other cases as well!

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ETL Tools Metadata Data Integration Data Science 77

Precisely

DECEMBER 28, 2023

But insights derived from day-old data don’t cut it. Enterprise technology is having a watershed moment; no longer do we access information once a week, or even once a day. Business success is based on how we use continuously changing data. That’s where streaming data pipelines come into play. Now, information is dynamic.

Data Pipeline 91

Data Pipeline Building Kafka Big Data 91

Precisely

NOVEMBER 20, 2023

The answers lie in data integrity and the contextual richness of the data that fuels your AI. If machine learning models have been trained on untrustworthy data, fixing the problem can be expensive and time-consuming. Contextual data. Data integrity is multifaceted.

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Raw Data Insurance Data Retail 121

Precisely

JUNE 2, 2023

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. It requires a carefully considered approach to data integration and data integrity. To learn more, read our ebook.

Cloud 52

Cloud Insurance Data Integration Portfolio 52

Precisely

NOVEMBER 9, 2023

According to the 2023 Data Integrity Trends and Insights Report , data quality is the #1 barrier to achieving data integrity. And poor address quality is the top challenge preventing business leaders from effectively using location data to add context and multidimensional value to their decision-making processes.

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Data Integration Medical Insurance Retail 64

Precisely

MAY 8, 2023

In any strategic undertaking, trusted data is key to making better decisions that unlock new opportunities for your organization. One of the first steps in the process is to access and replicate the data you need to the cloud for robust analytics and reporting. Learn more Now, let’s talk about monitoring your data.

Government 52

Government Data Governance Data Integration Machine Learning 52

Precisely

MAY 23, 2024

Key takeaways: Quickly adapt to market changes by easily adding new data sources and targets, ensuring your IT landscape evolves at the pace of your business. Gain a competitive edge with real-time data integration, crucial for time-sensitive decisions and actions in fraud detection and customer interactions.

Data Integration 64

Data Integration Metadata Telecommunication Data Governance 64

Precisely

FEBRUARY 1, 2024

That’s why data enrichment , including geospatial context , has become such an important component of any successful data analytics rollout. Application Programming Interfaces (APIs) offer a wide range of benefits, accelerating and enhancing data integrity initiatives.

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Healthcare Data Finance Data Integration 64