The Modern Data Company

JANUARY 31, 2023

These were our most popular blog posts in 2022 according to reader statistics. However, at Modern we believe that companies don’t have to abandon customer 360 simply because they can’t find a way to integrate data sources. “ Thus begins another popular Modern blog post from 2022. With a data operating system.

Retail 98

Retail Healthcare Data Architecture Data Pipeline 98

Propel Data

MARCH 8, 2023

We'll share how to integrated the Apollo Studio API explorer into Propel’s documentation, options we considered, and some of the challenges.

Data Analytics 64

Data Analytics Data 64

Knowledge Hut

MARCH 18, 2024

Integrated Change Control (ICC) provides a comprehensive process for reviewing, evaluating, and approving changes to project scope, schedule, and resources. In this blog, I will walk you through the definition, purpose, process, and importance of integrated change control, as well as explore the benefits and best practices associated with it.

Process 52

Process Certification Project Utilities 52

databricks

NOVEMBER 30, 2023

We are excited to introduce five new integrations in Databricks Partner Connect—a one-stop portal enabling you to use partner solutions with your Databricks D.

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Databand.ai

AUGUST 30, 2023

Data Consistency vs Data Integrity: Similarities and Differences Joseph Arnold August 30, 2023 What Is Data Consistency? What Is Data Integrity? Data integrity refers to the accuracy, completeness, and consistency of data throughout its life cycle. Data integrity is crucial for several reasons.

Data Integration 52

Data Integration Data Cleanse Data Validation High Quality Data 52

Databand.ai

AUGUST 30, 2023

Data Accuracy vs Data Integrity: Similarities and Differences Eric Jones August 30, 2023 What Is Data Accuracy? What Is Data Integrity? Data integrity is the maintenance and assurance of the consistency, accuracy, and reliability of data throughout its lifecycle.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

Precisely

DECEMBER 21, 2022

Let’s explore the impact of data in this industry as we count down the top 5 insurance blog posts of 2022. #5 Read more > Read the eBook Achieving Data Integrity: A Guide for Insurers In this eBook, we will explore some of the key capabilities that will help you begin your data integrity journey for the insurance industry.

Insurance 52

Insurance Data Governance Healthcare High Quality Data 52

Precisely

DECEMBER 20, 2022

Let’s further explore the impact of data in this industry as we count down the top 5 financial services blog posts of 2022. #5 Within the financial industry, there are some specialized uses for data integration and big data analytics. The post Best of 2022: Top 5 Financial Services Blog Posts appeared first on Precisely.

Data Governance 52

Data Governance Government Hadoop Big Data 52

dbt Developer Hub

NOVEMBER 28, 2021

Welcome to the dbt Developer Blog ​ The purpose of this blog is to double down on our long running commitment to contributing to the knowledge loop. This blog represents the exact same philosophy, just applied via the lens of written guides rather than code.

SQL 52

SQL Database Project Engineering 52

DataKitchen

DECEMBER 9, 2022

This can include the use of tools for data integration and transformation, as well as technologies for managing and monitoring data-related systems and processes. Better data quality: DataOps can help organizations to improve the quality of their data sets, by providing tools and services for data integration, transformation, and cleaning.

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Hevo

DECEMBER 26, 2023

WordPress, which originally started out as a blogging platform, has now evolved to become the most sought-after Content Management System (CMS) for Forums, Promotional Websites, and E-Commerce Stores. In 2023, WordPress powered 45.8% of all websites globally, marking a growth from 43.2%

PostgreSQL 52

PostgreSQL Systems Management Data Integration 52

Robinhood

NOVEMBER 28, 2023

At Robinhood, we’re constantly striving to enhance our products and processes, and the journey to integrate our Content Standards into our design system was no exception. In this blog, we’ll explore the unique opportunity we seized, the meticulous process that followed, and the transformative results of this integration.

Designing 68

Designing Finance Certification Systems 68

Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. What are the integration and extension points of the platform? The key to those solutions is a robust and flexible metadata management system.

Metadata 100

Metadata Management Kafka Data Engineering 100

LinkedIn Engineering

APRIL 11, 2023

To ensure that our members have an enjoyable experience on the platform and can navigate quickly, we recently integrated a new encoding solution into Rest.li , which resulted in a reduction in latency and an improvement in resource utilization. We’ll also share details of our integration and rollout of Protobuf to Rest.li

Programming Language 91

Programming Language Java Scala Programming 91

Precisely

DECEMBER 22, 2022

Let’s explore the impact of data in this industry as we count down the top 5 telco blog posts of 2022. #5 The post Best of 2022: Top 5 Telco Blog Posts appeared first on Precisely. And in such a dynamic and competitive landscape, data also makes it easier to maintain an edge over the competition.

Telecommunication 52

Telecommunication Data Science Building Technology 52

Precisely

DECEMBER 19, 2022

Let’s further explore the impact of data in this industry as we count down the top 5 PropTech blog posts of 2022. #5 The post Best of 2022: Top 5 PropTech Blog Posts appeared first on Precisely.

Data Governance 52

Data Governance Retail Government High Quality Data 52

phData: Data Engineering

FEBRUARY 23, 2023

Matillion has a Git integration for Matillion ETL with Git repository providers, which can be used by your company to leverage your development across teams and establish a more reliable environment. BitBucket includes access control, workflow control, pull requests, Jira integration, and a full REST API. What is Matillion ETL?

Project 52

Project Coding Accessible Accessibility 52

ThoughtSpot

OCTOBER 27, 2023

In this post, we show how you can leverage Amazon Aurora zero-ETL integration with Amazon Redshift and ThoughtSpot for GenAI driven near real-time operational analytics. Zero-ETL integration is set up between Amazon Aurora and Amazon Redshift. Create a connection in ThoughtSpot to Amazon Redshift. Click Continue. Click Continue.

Building 70

Building MySQL Data Warehouse SQL 70

Data Engineering Podcast

JULY 2, 2021

Summary Data integration in the form of extract and load is the critical first step of every data project. There are a large number of commercial and open source projects that offer that capability but it is still far from being a solved problem. Go to dataengineeringpodcast.com/atlan today and sign up for a free trial.

Data Integration 100

Data Integration SQL BI Data Warehouse 100

ThoughtSpot

OCTOBER 27, 2023

In this post, we show how you can leverage Amazon Aurora zero-ETL integration with Amazon Redshift and ThoughtSpot for GenAI driven near real-time operational analytics. Zero-ETL integration is set up between Amazon Aurora and Amazon Redshift. Create a connection in ThoughtSpot to Amazon Redshift. Click Continue. Click Continue.

Building 69

Building MySQL Data Warehouse SQL 69

Precisely

DECEMBER 23, 2022

Let’s explore the impact of data in this industry as we count down the top 5 supply chain blog posts of 2022. #5 The post Best of 2022: Top 5 Consumer Packaged Goods Blog Posts appeared first on Precisely.

Data Governance 52

Data Governance Government Utilities Big Data 52

Monte Carlo

MARCH 24, 2023

The data has integrity because the information is all there. The key differences are that data integrity refers to having complete and consistent data, while data validity refers to correctness and real-world meaning – validity requires integrity but integrity alone does not guarantee validity.

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 52

databricks

FEBRUARY 15, 2023

New year, new integrations to announce! We're excited to introduce five new additions to Databricks Partner Connect– a centralized portal to help you f.

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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 56

Data Integration Data Data Warehouse Business Analyst 56

Databand.ai

JULY 6, 2023

Data Integrity Testing: Goals, Process, and Best Practices Niv Sluzki July 6, 2023 What Is Data Integrity Testing? Data integrity testing refers to the process of validating the accuracy, consistency, and reliability of data stored in databases, data warehouses, or other data storage systems.

Data Integration 52

Data Integration Process Data Validation Data Governance 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. When data has integrity, it means it wasn’t altered during storage, retrieval, or processing without authorization.

Data Integration 52

Data Integration Hospitality Banking Healthcare 52

Striim

NOVEMBER 17, 2023

Striim serves as a real-time data integration platform that seamlessly and continuously moves data from diverse data sources to destinations such as cloud databases, messaging systems, and data warehouses, making it a vital component in modern data architectures. In this blog, we will focus on a PostgreSQL database.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Hevo

AUGUST 21, 2023

This blog post […] Your team has requested a priority connection between HubSpot and Amazon Aurora so that your sales, marketing, and customer service teams can gain critical business insights. Don’t worry, we’ve got you covered.

Data 52

Data Data Engineering Data Engineer Accessible 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. To maintain data integrity, measures must be implemented to prevent corruption, loss, or unauthorized access to sensitive information.

Data Integration 52

Data Integration Medical Healthcare Education 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. These measures include data validation, data cleansing, data integration, and data security, among others.

Data Integration 52

Data Integration Data Validation Pharmaceutical Data Cleanse 52

databricks

MARCH 13, 2024

Sharing a belief that open source solutions will foster innovation and transparency in generative AI development, Databricks has announced a partnership and participation.

Data 133

Data 133

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

Data Engineering Podcast

APRIL 21, 2024

In this episode he shares the technical challenges that he and his team have overcome in integrating AI into their product, as well as the benefits and features that it provides to their customers. Contact Info LinkedIn Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Confluent

MAY 22, 2019

Apache Kafka is not a replacement to MQTT, but since MQTT is not built for high scalability, longer storage, or easy integration to legacy systems, it complements Apache Kafka well. Demo of Scylla and Confluent integration. A version of this blog post was originally published on the Scylla blog. Try it yourself.

Kafka 97

Kafka Google Cloud NoSQL Entertainment 97

Confluent

MARCH 19, 2024

Seamlessly integrate Apache Kafka data into your lakehouse as Apache Iceberg tables, bridging the operational and analytical divide, with Tableflow. Read more in our blog post.

Kafka 132

Kafka Data 132

databricks

AUGUST 23, 2023

In our previous blog post, we discussed how ActionIQ partners with Databricks to address the key challenge organizations face in achieving their personalization.

Retail 74

Retail 74

databricks

MAY 9, 2023

As organizations are maturing their data infrastructure and accumulating more data than ever before in their data lakes, Open and Reliable table formats.

Data Lake 92

Data Lake Data Data Engineering Data Engineer 92