Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

Cloud 90

Cloud IT Data Warehouse AWS 90

Monte Carlo

APRIL 1, 2021

Over the past few years, data lakes have emerged as a must-have for the modern data stack. But while the technologies powering our access and analysis of data have matured, the mechanics behind understanding this data in a distributed environment have lagged behind. How can I use this data? Is this data up-to-date?

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 89

Data Lake Business Intelligence Metadata Data Warehouse 89

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

MARCH 28, 2024

Your company wants to “treat data like a product.” For the past few decades, most companies have kept data in an organizational silo. In the 2020s, however, data is no longer a second-class citizen. And the most forward-thinking teams are adopting a new paradigm: treating data like a product. What does that mean?

Data 52

Data High Quality Data Machine Learning Accessible 52

Databand.ai

JANUARY 24, 2023

The Ultimate Guide for Data Teams Eric Jones 2023-01-24 12:21:38 If you find yourself hearing a lot about DataOps and then subsequently asking, “ What is DataOps? The concept of DataOps has become prevalent in recent years as a way to ensure teams effectively manage data and maintain efficient access to high quality, timely data.

Retail 52

Retail Banking Government Manufacturing 52

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

APRIL 20, 2023

Data lineage is a visual diagram showing how data flows through your ETL pipeline from ingestion to consumption. What are the data lineage use cases and best practices that will drive value for the business? We’re glad you asked.

Data Warehouse 52

Data Warehouse BI Government Data 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

Monte Carlo

APRIL 4, 2023

Data mesh vs data warehouse is an interesting framing because it is not necessarily a binary choice depending on what exactly you mean by data warehouse (more on that later). Despite their differences, however, both approaches require high-quality, reliable data in order to function.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture 52

Monte Carlo

JANUARY 23, 2023

When it comes to the data community, there’s always a debate broiling about something— and right now “data mesh vs data lake” is right at the top of that list. And more importantly, which one is right for your organization? Data mesh vs data lake: who will win? What is a data lake?

Data Lake 52

Data Lake Unstructured Data Business Intelligence Architecture 52