Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Databand.ai

JUNE 28, 2023

This might include processes like data extraction from different sources, data cleansing, data transformation (like aggregation), and loading the data into a database or a data warehouse. They’re betting their business on it and that the data pipelines that run it will continue to work.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Rockset

AUGUST 2, 2023

The Windward Maritime AI platform Lastly, Windward wanted to move their entire platform from batch-based data infrastructure to streaming. In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse. Forrester ).

Data Architecture 76

Data Architecture Architecture Data Lake NoSQL 76

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Each of these architectures has its own unique strengths and tradeoffs.

Data Lake 89

Data Lake Data Warehouse Cloud Unstructured Data 89

Monte Carlo

FEBRUARY 9, 2023

Over the past several years, data warehouses have evolved dramatically, but that doesn’t mean the fundamentals underpinning sound data architecture needs to be thrown out the window. While data vault has many benefits, it is a sophisticated and complex methodology that can present challenges to data quality.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52

Cloudyard

MARCH 4, 2023

Read Time: 5 Minute, 16 Second As we know Snowflake has introduced latest badge “Data Cloud Deployment Framework” which helps to understand knowledge in designing, deploying, and managing the Snowflake landscape. link] (Refer : DMS to Snowflake section in Blog) Amazon AppFlow: Salesforce to Snowflake.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

Cloudera

JUNE 30, 2022

With Cloudera’s vision of hybrid data , enterprises adopting an open data lakehouse can easily get application interoperability and portability to and from on premises environments and any public cloud without worrying about data scaling. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 84

Data Lake Business Intelligence Metadata Data Warehouse 84

Data Engineering Weekly

JANUARY 15, 2023

SiliconANGLE theCUBE: Analyst Predictions 2023 - The Future of Data Management By far one of the best analyses of trends in Data Management. 2023 predictions from the panel are; Unified metadata becomes kingmaker. The blog narrates the causal machine-learning approach in designing promotional artwork for their TV shows.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Monte Carlo

NOVEMBER 21, 2022

Pro-tip: be sure to check out his talk from IMPACT: The Data Observability Summit. That gives a lot of credence to the idea you can look at Snowflake’s revenues as a proxy for what’s happening in the larger data ecosystem. billion in four years, which underscores the terrific demand there is for cloud data warehouses.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Monte Carlo

APRIL 1, 2021

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. Here’s where data catalogs fall short and how data discovery platforms and tools can help ensure your data lake doesn’t turn into a data swamp.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Monte Carlo

MARCH 2, 2023

There is also a mechanism for decoupling the data architecture to avoid using production data or change data capture (CDC) events directly. Data Health Insights Data health insights can help stop data anomalies Many data architectures will have “hot spots” that generate a disproportionate amount of data anomalies.

Food 52

Food Data SQL Data Pipeline 52

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

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. It will explain what an instance of the best-in-class answers would sound like.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Cloudera

MAY 22, 2019

Although the program is technically in its seventh year, as the first joint awards program, this year’s Data Impact Awards will span even more use cases, covering even more advances in IoT, data warehouse, machine learning, and more. DATA SECURITY AND GOVERNANCE. May the odds be ever in your favor!

Pharmaceutical 55

Pharmaceutical Recruitment Machine Learning Metadata 55

phData: Data Engineering

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

APRIL 20, 2023

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. And over time, we’ve invested effort into cleaning up our lineages, simplifying our logic,” said SeatGeek Director of Data Engineering, Brian London.

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. Data Warehouse (Or Lakehouse) Migration 34. Integrate Data Stacks Post Merger 35.

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. Data warehouse (or Lakehouse) migration 34. Integrate Data Stacks Post Merger 35.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52