Data Engineering Weekly

SEPTEMBER 24, 2023

Thoughtworks: Measuring the Value of a Data Catalog The cost & effort value proportion for a Data Catalog implementation is always questionable in a large-scale data infrastructure. Thoughtworks, in combination with Adevinta, published a three-phase approach to measure the value of a data catalog.

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. These accelerators use GPT models to do data tasks faster, fix any issues, and save a lot of time. GPT models change data in simple language and also provide summaries and explanations. One can rely on this information.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Knowledge Hut

OCTOBER 30, 2023

The work of a Power BI developer is to take data in its raw form, derive meaning, and make sense of it. They dissect data to see patterns, trends, outliers, etc., using business intelligence tools and collaborate with the technology team and developers to build effective solutions. Excel, SharePoint, and web services.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Databand.ai

JUNE 20, 2023

Data integrity is essential for businesses to make informed decisions, improve operational efficiency, and maintain regulatory compliance. To achieve data integrity, organizations must implement various controls, processes, and technologies that help maintain the quality of data throughout its lifecycle.

Data Integration 52

Data Integration Data Validation Pharmaceutical Data Cleanse 52

Monte Carlo

JULY 11, 2023

In other words, is it likely your data is accurate based on your expectations? Data collection methods: Understand the methodology used to collect the data. Evaluate whether the methods are technologically sound, transparent, and follow established standards. is the gas station actually where the map says it is?).

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

ProjectPro

FEBRUARY 8, 2023

The purpose of ETL is to provide a centralized, consistent view of the data used for reporting and analysis. ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Ascend.io

OCTOBER 12, 2023

A Note on Our Perspective of Data Automation When we talk about “automating data” in this article, our intent isn’t to promote the notion of replacing human involvement. Instead, we advocate for the strategic utilization of technology to streamline and enhance data-related processes. Where is it stored?

Hospitality 52

Hospitality Data Pipeline Healthcare Data Governance 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

LinkedIn Engineering

JUNE 2, 2023

Availability: Data must be readily available to the broader team in order to support their research and analysis. This data must be accessible and available in near real-time in order to accurately reflect current trends and conditions. The team operates with the following guiding principles as our collective north star: 1.

Building 75

Building Banking Datasets Media 75

Monte Carlo

JULY 10, 2023

Accuracy reflects the degree to which the data correctly describes the “real-world” objects being described. For example, let’s say a streaming provider has 10 million overall subscribers who can access its content. According to the CRM’s data set, the streaming provider has 13 million subscribers.

Data Collection 40

Data Collection Data Governance Government Data 40

Databand.ai

AUGUST 30, 2023

Poor data quality can lead to incorrect or misleading insights, which can have significant consequences for an organization. DataOps tools help ensure data quality by providing features like data profiling, data validation, and data cleansing.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Snowflake

SEPTEMBER 21, 2023

The marketing technology landscape has exploded in the last decade. In this post, we’ll take a look at how leading vendors in the 2023 Modern Marketing Data Stack are differentiating their products in a crowded market. The data driving the provider’s application is stored and processed in the provider’s own Snowflake account.

Google Cloud 84

Google Cloud Unstructured Data Technology Data 84

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Databand.ai

JULY 19, 2023

However, with the rise of the internet and cloud computing, data is now generated and stored across multiple sources and platforms. This dispersed data environment creates a challenge for businesses that need to access and analyze their data. Data governance also involves implementing data lineage and data cataloging.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Precisely

MAY 3, 2023

From Raw Data to Insights: Simplifying Data Validation and Enrichment Businesses that want to be more data-driven are increasingly in need of data that provides answers to their everyday questions. How can the power of data validation and enrichment transform your business? Join us to find out.

Data Integration 52

Data Integration Government AWS Data Governance 52

Precisely

MAY 2, 2024

In the digital era, your data is a crucial key to operational success – and the strategic importance of SAP customer master data can’t be overstated. That’s what makes slow, manual customer data management so damaging. Simpler, faster customer master data management powered by automation.

Coding Skills 69

Coding Skills Food Data Portfolio 69

Ascend.io

JULY 19, 2023

In this article, we provide practical, actionable steps to kick-start your data mesh implementation using the well-established approach of managing People, Processes, and Technology. Consider this your primer to stop overthinking, start acting, and truly harness the power of data mesh. Establish clear data governance policies.

Data Governance 40

Data Governance Government Metadata Data 40

Databand.ai

JULY 3, 2023

The value of that trust is why more and more companies are introducing Chief Data Officers – with the number doubling among the top publicly traded companies between 2019 and 2021, according to PwC. In this article: Why is data reliability important? Note that data validity is sometimes considered a part of data reliability.

Data Validation 52

Data Validation Data Collection Data Machine Learning 52

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. . Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

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

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Software Engineering principles apply to the complete data product lifecycle.

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

NOVEMBER 30, 2021

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Monte Carlo

MAY 31, 2023

A variety of factors can threaten the integrity of your data, from human error and ineffective training to a lack of security and liberal data access. A data integrity framework is a system of processes and technologies that work together to improve data quality, security, and compliance at scale.

Building 52

Building Data Validation Healthcare Data Integration 52

Monte Carlo

OCTOBER 5, 2023

Advancements in AI are generating countless headlines and breaking adoption records , and talented data specialists may be the hottest hires on the market. But without quality data, even the best technologies and teams won’t be able to drive meaningful results. Example: Social media metrics (e.g., name@domain.com).

Government 52

Government Data Governance Data Datasets 52

Precisely

JANUARY 8, 2024

Location intelligence provides a critical link that joins existing data elements with the geospatial context surrounding them. By understanding where your customers live, for example, you can glean meaningful insights about their income level, lifestyle, and access to services.

Insurance 64

Insurance Telecommunication Retail Data Integration 64