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. Data vault collects and organizes raw data as underlying structure to act as the source to feed Kimball or Inmon dimensional models.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52

Data Engineering Weekly

OCTOBER 13, 2024

link] Lak Lakshmanan: What goes into bronze, silver, and gold layers of a medallion data architecture? If I understand correctly, the gist of the article is where you position the common data model/ metrics that can be used across the organization. I think these layers are a guiding principle instead of a strict framework.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

AltexSoft

OCTOBER 30, 2021

Data engineer’s integral task is building and maintaining data infrastructure — the system managing the flow of data from its source to destination. This typically includes setting up two processes: an ETL pipeline , which moves data, and a data storage (typically, a data warehouse ), where it’s kept.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Towards Data Science

APRIL 3, 2023

At the moment, this tight integration is possible because most zero-ETL architectures require both the transactional database and data warehouse to be from the same cloud provider. No duplicate data storage. Cons : Less ability to customize how the data is treated during the ingestion phase. Pros : Reduced latency.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Another type of data storage — a data lake — tried to address these and other issues.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Silectis

JANUARY 3, 2021

Big Query Google’s cloud data warehouse. Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MAY 12, 2023

For example, developers can use Twitter API to access and collect public tweets, user profiles, and other data from the Twitter platform. Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Snowflake

APRIL 5, 2023

Traditionally, the dimensional data modeling approach is used to build complex data warehouses, while Data Vaults are used in data warehouses to offer long-term historical data storage while modeling. Why is data modeling important for a data warehouse?

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

ProjectPro

JANUARY 31, 2022

Snowflake in Action at Western Union Snowflake's multi-cluster shared data architecture expanded instantaneously to serve Western Union's data, users, and workloads without causing resource conflict. The query processing layer is separated from the disk storage layer in the Snowflake data architecture.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

SEPTEMBER 26, 2021

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. Most of these are performed by Data Engineers.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

APRIL 20, 2023

This may involve assigning data stewards and data custodians and implementing data governance committees. Data architecture and metadata management: It involves establishing a framework for data management, including data architecture and metadata management.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Monte Carlo

JULY 30, 2020

In the age of self-service business intelligence , nearly every company considers themselves a data-first company, but not every company is treating their data architecture with the level of democratization and scalability it deserves. Your company, for one, views data as a driver of innovation.

IT 45

IT Data Lake Architecture Data Architecture 45

ProjectPro

NOVEMBER 7, 2016

Role of the most recent component- Hadoop Ozone in Hadoop Application Architecture Implementation Hadoop Big Data Architecture Design – Best Practices to Follow Latest Version of Hadoop Architecture (Version 3.3.3) Case Studies of Hadoop Architecture Facebook Hadoop Architecture Yahoo Hadoop Architecture Last.FM

Hadoop 40

Hadoop Architecture IT Big Data 40

AltexSoft

MARCH 2, 2023

However, decentralized models may result in inconsistent and duplicate master data. There’s a centralized structure that provides a framework, which is then used by autonomous departments that own their data and metadata. A Data Architect typically focuses on creating and building data infrastructures inside an organization.

Data Governance 52

Data Governance Government Programming Healthcare 52

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? Think of an automatically updating encyclopedia for your data platform.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification? Data Scientist: To extract value from data, data scientists execute sophisticated analytics.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

SEPTEMBER 16, 2020

This approach provides rich context that enables rapid triage and troubleshooting and effective communication with stakeholders impacted by data reliability issues. Data storage, orchestration, transformation, and BI tiers. Book a time to speak with us using the form below.

Software Engineering 52

Software Engineering Software Engineer Data Machine Learning 52

AltexSoft

JULY 18, 2023

When transformations are applied to RDDs, Spark records the metadata to build up a DAG, which reflects the sequence of computations performed during the execution of the Spark job. Apache Mesos : A robust option that manages resources across entire data centers, making it suitable for large-scale, diverse workloads.

Big Data 52

Big Data Data Process Process Hadoop 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. Data System Modernization And Team Reorganization The only constant in data engineering is change. This is where data lineage can help you scope and plan your migration waves.

Data Warehouse 52

Data Warehouse BI Data Government 52

phData: Data Engineering

SEPTEMBER 27, 2024

It enables advanced analytics, makes debugging your marketing automations easier, provides natural audit trails for compliance, and allows for flexible, evolving customer data models. So next time you’re designing your customer data architecture in your CDP, don’t just think about the current state of your customers.

Data 52

Data Raw Data Data Lake Architecture 52

phData: Data Engineering

JULY 18, 2023

Zero Copy Cloning: Create multiple ‘copies’ of tables, schemas, or databases without actually copying the data. This noticeably saves time on copying and drastically reduces data storage costs. The Solution phData recognized the imperative to enhance both the technical and people aspects of the data platform.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

DataKitchen

JANUARY 23, 2023

Data lineage is what’s in your database – which is not everything. Data lineage primarily focuses on tracking the movement and transformation of data within the database or data storage systems. Data lineage is static and often lags by weeks or months. Are problems with data tests? Did it fail?

Data Governance 52

Data Governance Government Data Pipeline Data 52