Monte Carlo

FEBRUARY 21, 2023

Today, as data sources become increasingly varied, data management becomes more complex, and agility and scalability become essential traits for data leaders, data fabric is quickly becoming the future of data architecture. If data fabric is the future, how can you get your organization up-to-speed?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Today, as data sources become increasingly varied, data management becomes more complex, and agility and scalability become essential traits for data leaders, data fabric is quickly becoming the future of data architecture. If data fabric is the future, how can you get your organization up-to-speed?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Snowflake

JULY 27, 2023

Over the course of this journey, HomeToGo’s data needs have evolved considerably. Once the data is in the warehouse, we are leveraging Snowflake’s data warehousing features to handle it. Something that is especially handy is Snowflake’s support for semi-structured data.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Precisely

JANUARY 27, 2023

The challenge is that many business leaders still struggle to turn their data into tangible improvements in CX. According to Corinium , only 37% of organizations have a well-developed enterprise data architecture that enables high-quality, data-driven, and personalized CX.

High Quality Data 104

High Quality Data Data Governance Government Banking 104

The Modern Data Company

FEBRUARY 2, 2023

Get to the Future Faster – Modernize Your Manufacturing Data Architecture Without Ripping and Replacing Implementing customer lifetime value as a mission-critical KPI has many challenges. Companies need consistent, high-quality data and a straightforward way to measure CLV.

Systems 52

Systems Manufacturing High Quality Data Data Architecture 52

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

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.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52

Monte Carlo

AUGUST 30, 2024

It’s our goal at Monte Carlo to provide data observability and quality across the enterprise by monitoring every system vital in the delivery of data from source to consumption. We started with popular modern data warehouses and quickly expanded our support as data lakes became data lakehouses.

SQL 40

SQL Engineering Data Lake High Quality Data 40

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 Engineer 67

Data Engineer Data Engineering Engineering Pipeline-centric 67

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 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

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

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 58

Data Integration Machine Learning High Quality Data Data Governance 58

Monte Carlo

AUGUST 13, 2024

This year data observability skyrocketed to the top of the Gartner’s Hype Cycles. According to Gartner, 50% of enterprise companies implementing distributed data architectures will have adopted data observability tools by 2026 – up from just ~20% in 2024. Image courtesy of Gartner.

Data 52

Data Data Warehouse Data Pipeline Data Architecture 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 Data Warehouse Scala 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 Engineer 52

Data Engineer Data Engineering Engineering Metadata 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 Accessibility 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 Data Engineer Data Engineering High Quality Data 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 Engineer 52

Data Engineer Data Engineering Engineering Education 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

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 Engineer Data Engineering Engineering 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 Engineer Data Engineering 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 Engineer Data Engineering Data 52

RandomTrees

MAY 6, 2025

Modern data engineering can help with this. It creates the systems and processes needed to gather, clean, transfer, and prepare data for AI models. Without it, AI technologies wouldn’t have access to high-quality data. AI and Data Synergy AI and data engineering have a symbiotic relationship.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Cleanse 52