Precisely

JANUARY 23, 2024

Enterprise Challenges in 2024 and Beyond The big-picture process of building data that is accurate, consistent and contextual – or data integrity – calls for a systematic approach combining technology tools, internal change management, and a company-wide commitment to results.

Technology 67

Technology Data Governance Government Data Integration 67

Precisely

MAY 31, 2023

To innovate, compete, and grow in the current macroeconomic environment, enterprises must approach data strategically. A sound data strategy doesn’t happen by accident; it’s built on a foundation of data integrity , including accuracy, consistency, and rich context. Many organizations still struggle with data integrity.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Precisely

JANUARY 18, 2024

Yet mainframes weren’t initially designed to integrate easily with modern distributed computing platforms. After all, mainframe technology was firmly established long before many of today’s modern innovations emerged on the scene. Let’s dive in. But there’s that old saying that tells us, “If it ain’t broke, don’t fix it.”

Technology 52

Technology AWS Cloud Computing Data Lake 52

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

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

Precisely

JANUARY 19, 2023

Yet mainframes weren’t designed to integrate easily with modern distributed computing platforms. After all, mainframe technology was firmly established long before many of today’s modern innovations emerged on the scene. Data Integration Enterprises are betting big on analytics, and for good reason.

Technology 52

Technology AWS Cloud Computing Data Lake 52

Precisely

DECEMBER 13, 2023

Using data quality and address validation tools, Santa’s team can cleanse, standardize and dedupe the data to ensure it has maximum accuracy and integrity, so that every child gets a suitable gift and they are delivered to the correct house! Santa also needs to consider how to access each house. You guessed it….Santa

Data Integration 52

Data Integration Data Governance Government Database 52

Precisely

MARCH 14, 2023

New technologies are making it easier for customers to process increasingly large datasets more rapidly. And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Cloud-native data execution is just the beginning. So how did providers respond?

Data Integration 52

Data Integration High Quality Data BI Data 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

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

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

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

JANUARY 23, 2023

Marketing data integration is the process of combining marketing data from different sources to create a unified and consistent view. If you’re running marketing campaigns on multiple platforms—Facebook, Instagram, TikTok, email—you need marketing data integration. What Problems does Data Integration Solve?

Data Integration 57

Data Integration Data Data Warehouse Business Analyst 57

Precisely

MAY 3, 2023

Learn more The countdown is on to Trust ’23: the Precisely Data Integrity Summit! We recently announced the details of our annual virtual event , and we’re thrilled to once again bring together thousands of data professionals worldwide for two days of knowledge, insights, and inspiration for your data integrity journey.

Data Integration 52

Data Integration Government AWS Data Governance 52

Knowledge Hut

NOVEMBER 16, 2023

Despite these challenges, Azure still serves as a beneficial platform for data scientists. Technologies of Azure Data Science In this section, we will look at some of the tools and services provided by Azure for Data Science operations. which are shaping data science applications.

Data Science 52

Data Science Technology Programming Language Cloud Computing 52

Data Engineering Podcast

MAY 26, 2024

In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. What are the characteristics or features of data technologies and the overall ecosystem that can reduce the burden of data migration in the future?

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

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.

Data Integration 100

Data Integration Kafka Data Lake Machine Learning 100

AltexSoft

OCTOBER 8, 2021

What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. The good news is, businesses can choose the path of data integration to make the most out of the available information. Data integration in a nutshell. Data integration process.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 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.

Data Integration 52

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.

Data Pipeline 52

Data Pipeline Data Integration Datasets Data 52

AltexSoft

SEPTEMBER 10, 2021

To get a single unified view of all information, companies opt for data integration. In this article, you will learn what data integration is in general, key approaches and strategies to integrate siloed data, tools to consider, and more. What is data integration and why is it important?

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

Ascend.io

DECEMBER 14, 2022

As data became the backbone of most businesses, data integration emerged as one of the most significant challenges. Today, a good part of the job of a data engineer is to move data from one place to another by creating pipelines that can be either ETL vs. ELT. This causes two issues.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

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 67

Amazon Web Services AWS Data Integration Datasets 67

Snowflake

APRIL 23, 2024

If you’re a Snowflake customer using ServiceNow’s popular SaaS application to manage your digital workloads, data integration is about to get a lot easier — and less costly. The connector provides immediate access to up-to-date ServiceNow data without the need to manually integrate against API endpoints.

Data Warehouse 95

Data Warehouse Data Integration Consulting Metadata 95

Cloudera

MAY 28, 2024

Delivering the most business value possible is directly linked to those decisions and the data and insights that inform them. It’s not enough for businesses to implement and maintain a data architecture. When we talk about modern data architecture, there are several unique benefits to this kind of approach.

Data Architecture 75

Data Architecture Architecture Data Lake Data Warehouse 75

Data Engineering Podcast

MARCH 18, 2023

Summary As with all aspects of technology, security is a critical element of data applications, and the different controls can be at cross purposes with productivity. He also explains why data security is distinct from application security and some methods for reducing the challenge of working across different data systems.

Data Security 130

Data Security Machine Learning Data Science Metadata 130

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. This makes it more valuable and easy to access for everyone in the organization. This gives organizations a single view of all their data.

Data Integration 52

Data Integration Government Data Data Governance 52

Precisely

MARCH 4, 2024

As you navigate the complexities of integrating AI into your operations, it’s essential to understand data integrity – data with maximum accuracy, consistency, and context – and its pivotal role in ensuring AI reliability. Next, you’ll see valuable AI use cases and how data integrity powers success.

Amazon Web Services 70

Amazon Web Services Data Integration High Quality Data Government 70

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 86

Insurance Banking Data Architecture Data Ingestion 86

Knowledge Hut

MAY 22, 2024

The objective of the triad is to help institutions construct their security strategy and develop policies and controls while also conforming as a foundational starting point for any unknown use cases, products, and technologies. It involves the actions of an organization to ensure data is kept confidential or private.

IT 98

IT Banking Healthcare Finance 98

Snowflake

APRIL 22, 2024

By leveraging advanced technology and data analytics, Magnite offers a comprehensive suite of tools and services designed to maximize ad revenue for publishers while helping them effectively reach their target audiences. Remarkably, the entire dataset with over 1.2 PBs was replicated in just one day.

AWS 70

AWS Cloud Storage Cloud Technology 70

Snowflake

MAY 14, 2024

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.”

Pharmaceutical 78

Pharmaceutical IT Hospitality Data 78

Precisely

OCTOBER 16, 2023

Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. Business users want flexibility, effortless access, and quick solutions to their problems.

Cloud 70

Cloud Cloud Computing Metadata Data Governance 70

Striim

APRIL 3, 2024

This explosion in cloud application use has led to significant challenges in data integration and the delivery of insightful data to stakeholders. What is Striim Cloud for Application Integration? Easily integrate with BigQuery for real-time analytics and insights. Enterprises in the U.S.

Google Cloud 52

Google Cloud Transportation Data Integration Aggregated Data 52

Precisely

JANUARY 4, 2024

The demand for trusted data is at an all-time high. This was made resoundingly clear in the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, which surveyed over 450 data and analytics professionals globally.

Data Governance 73

Data Governance Government Data Integration Data 73

Snowflake

SEPTEMBER 28, 2023

With its unique blend of cultures, economies, and regulatory environments, the EMEA market offers a nuanced picture of how marketers harness data technologies to understand their audiences, calibrate campaigns in real time, and adhere to complex government and industry regulations.

Government 87

Government Data Integration Machine Learning Technology 87