Precisely

MARCH 14, 2023

Read Quality data you can depend on – today, tomorrow, and beyond For many years Precisely customers have ensured the accuracy of data across their organizations by leveraging our leading data solutions including Trillium Quality, Spectrum Quality, and Data360 DQ+. What does all this mean for your business?

Data Integration 52

Data Integration High Quality Data BI Data 52

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 3) DataOPS at AstraZeneca The AstraZeneca team talks about data ops best practices internally established and what worked and what didn’t work!!!

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Precisely

JANUARY 22, 2024

The challenge is that many businesses struggle to turn their data into usable assets for CX applications. According to Corinium, only 37% of organizations have a well-developed enterprise data architecture that enables high-quality, data-driven, and personalized CX.

Data Integration 59

Data Integration High Quality Data Machine Learning Data Governance 59

Monte Carlo

AUGUST 31, 2023

Not long after data warehouses moved to the cloud, so too did data lakes (a place to transform and store unstructured data), giving data teams even greater flexibility when it comes to managing their data assets. What is a decentralized data architecture?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Ascend.io

FEBRUARY 28, 2024

While data engineering and Artificial Intelligence (AI) may seem like distinct fields at first glance, their symbiosis is undeniable. The foundation of any AI system is high-quality data. Here lies the critical role of data engineering: preparing and managing data to feed AI models.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

The Modern Data Company

DECEMBER 29, 2022

For example, using artificial intelligence and machine learning, banks can better protect customer identities across multiple channels while ensuring that sensitive customer data remains absolutely secure. Instead of a patchwork set of tools and multiple copies of data, users can customize dashboards for the insights they really need.

Banking 52

Banking Pipeline-centric Building Finance 52

Monte Carlo

JULY 27, 2023

These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

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Process Data Process Pharmaceutical Data Lake 98

DataKitchen

JANUARY 3, 2022

They need high-quality data in an answer-ready format to address many scenarios with minimal keyboarding. What they are getting from IT and other data sources is, in reality, poor-quality data in a format that requires manual customization.

Business Analyst 98

Business Analyst Data Lake Consulting Data Analytics 98

Monte Carlo

AUGUST 17, 2021

Their artificial intelligence data-driven platform relies on high-quality data to make coverage recommendations for customers. While a lot has changed in five years, one thing has always remained the same: the company’s commitment to building an insights-driven culture based on accurate and reliable data.

Insurance 40

Insurance Retail Data Pipeline Portfolio 40

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Must be familiar with data architecture, data warehousing, parallel processing concepts, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

JANUARY 31, 2023

Before deploying Monte Carlo, the Checkout.com data team struggled to maintain the high data quality and data observability standards it had set for itself while relying on manual testing and monitoring, lacking overarching data visibility, and operating within a decentralized data architecture.

Data 52

Data High Quality Data Data Engineering Data Engineer 52

Knowledge Hut

MARCH 5, 2024

On the other hand, a data engineer working in a hospital system might design a data architecture that manages and integrates electronic medical records. Healthcare is regulated, so your data infrastructure must meet extensive compliance and audit requirements.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

Airbnb Tech

NOVEMBER 24, 2020

For a data quality guarantee to be relevant for many of the most important data use cases, we needed to guarantee quality for both data tables and the individual metrics derived from them. In Airbnb’s offline data architecture, there is a single source of truth for each metric definition shared across the company.

Data Warehouse 52

Data Warehouse Certification Data Pipeline Data 52

Monte Carlo

MARCH 28, 2024

Self-serve tooling is also one of the main principles of the data mesh concept—a new approach to decentralized data architecture. A data observability tool is a key way to monitor and maintain high-quality data in your pipelines. If data is your product, then it needs to be high quality.

Data 52

Data High Quality Data Machine Learning Accessible 52

Databand.ai

JANUARY 24, 2023

In turn, this demand puts pressure on real-time access to data and increased automation, which then increases the need for AI. Supporting all of this requires a modern infrastructure and data architecture with appropriate governance. DataOps helps ensure organizations make decisions based on sound data. Enter DataOps.

Retail 52

Retail Banking Government Manufacturing 52

Monte Carlo

MAY 17, 2023

Keeping these revenue generators online and accurate is a common data observability use case. Move Your Generative AI Strategy From Pitch Deck To Reality If generative AI is a gold rush, high quality data is the pickaxe. System Modernization and Optimization The only constant in data engineering is change.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Keeping these revenue generators online and accurate is a common data observability use case. Move Your Generative AI Strategy From Pitch Deck To Reality If generative AI is a goldrush, high quality data is the pickaxe. System Modernization and Optimization The only constant in data engineering is change.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52