Snowflake

JUNE 21, 2024

Data infrastructure should serve the current set of business needs and be able to scale and evolve with change. With Snowflake and Iceberg tables, customers have the ability to adapt to these changes and deploy their choice of data architecture, all while maintaining leading security, performance and simplicity.

Data Lake 124

Data Lake BI Business Intelligence Metadata 124

DataKitchen

SEPTEMBER 17, 2021

A data mesh implemented on a DataOps process hub, like the DataKitchen Platform, can avoid the bottlenecks characteristic of large, monolithic enterprise data architectures. How do you build a data factory?” The data factory takes inputs in the form of raw data and produces outputs in the form of charts, graphs and views.

Architecture 94

Architecture Data Architecture Government Raw Data 94

DataKitchen

NOVEMBER 29, 2021

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

Data Lake 98

Data Lake Manufacturing Architecture Data Architecture 98

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

SEPTEMBER 15, 2022

The data products are packaged around the business needs and in support of the business use cases. This step requires curation, harmonization, and standardization from the raw data into the products. Luke: Let’s talk about some of the fundamentals of modern data architecture. What is a data fabric?

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

Cloudera

JULY 29, 2024

Democratized stream processing is the ability of non-coder domain experts to apply transformations, rules, or business logic to streaming data to identify complex events in real time and trigger automated workflows and/or deliver decision-ready data to users.

Architecture 69

Architecture Manufacturing Data Architecture Utilities 69

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

Netflix Tech

NOVEMBER 14, 2023

The fact tables then feed downstream intraday pipelines that process the data hourly. Raw data for hours 3 and 6 arrive. Hour 6 data flows through the various workflows, while hour 3 triggers a late data audit alert. Let’s walk through an example to understand the complexity of this pre-Psyberg world.

Data Engineering 108

Data Engineering Data Engineer Engineering Metadata 108

Cloud Academy

JANUARY 27, 2022

A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. Earlier we mentioned ETL or extract, transform, load.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Businesses benefit at large with these data collection and analysis as they allow organizations to make predictions and give insights about products so that they can make informed decisions, backed by inferences from existing data, which, in turn, helps in huge profit returns to such businesses. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Databand.ai

AUGUST 30, 2023

A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

The Modern Data Company

APRIL 15, 2024

Transforming Data Complexity into Strategic Insight At first glance, the process of transforming raw data into actionable insights can seem daunting. The journey from data collection to insight generation often feels like operating a complex machine shrouded in mystery and uncertainty.

Building 52

Building Raw Data Food Data 52

Knowledge Hut

JANUARY 18, 2024

The role can also be defined as someone who has the knowledge and skills to generate findings and insights from available raw data. Data Engineer A professional who has expertise in data engineering and programming to collect and covert raw data and build systems that can be usable by the business.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Ascend.io

JULY 28, 2023

It delineates how data moves, where it goes, and what happens to it along its journey. Now, you might ask, “How is this different from data stack architecture, or data architecture?” Read More: From Patchwork to Platform: The Rise of the Post-Modern Data Stack 2.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. The following table illustrates the key differences between these roles.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Striim

NOVEMBER 17, 2023

Striim serves as a real-time data integration platform that seamlessly and continuously moves data from diverse data sources to destinations such as cloud databases, messaging systems, and data warehouses, making it a vital component in modern data architectures.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Snowflake

MAY 30, 2023

You’ll see live demos from Snowflake’s Engineering and Product teams, and hear directly from some of the most well-known global organizations on how the Snowflake Data Cloud is helping them unlock their biggest data ambitions.

Certification 59

Certification Cloud Raw Data Architecture 59

Rockset

JANUARY 31, 2023

We compared Snowflake and Databricks, choosing the latter because of Databrick’s compatibility with more tooling options and support for open data formats. Using Databricks, we have deployed (below) a lakehouse architecture, storing and processing our data through three progressive Delta Lake stages.

MongoDB 59

MongoDB Pharmaceutical Recruitment Raw Data 59

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Their task is straightforward: take the raw data and transform it into a structured, coherent format.

Data Lake 52

Data Lake Data Warehouse ETL Tools Data Pipeline 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. Secondly, Define Business Rules : Develop the transformation on RAW data and include the Business logic.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

AltexSoft

MAY 12, 2023

Data lakes offer a flexible and cost-effective approach for managing and storing unstructured data, ensuring high durability and availability. Last but not least, you may need to leverage data labeling if you train models for custom tasks. Build data architecture.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JUNE 9, 2021

Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions. Machine learning skills.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

AUGUST 29, 2023

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. This article explains what a data lake is, its architecture, and diverse use cases. Raw data store section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Edureka

AUGUST 29, 2024

In this respect, the purpose of the blog is to explain what is a data engineer , describe their duties to know the context that uses data, and explain why the role of a data engineer is central. What Does a Data Engineer Do? Design algorithms transforming raw data into actionable information for strategic decisions.

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

Knowledge Hut

NOVEMBER 28, 2023

Data Science is also concerned with analyzing, exploring, and visualizing data, thereby assisting the company's growth. As they say, data is the new wave of the 21st century. This increased the data generation and the need for proper data storage requirements.

Data Architect 52

Data Architect Data Science Certification Big Data 52

Knowledge Hut

OCTOBER 30, 2023

The role of a Power BI developer is extremely imperative as a data professional who uses raw data and transforms it into invaluable business insights and reports using Microsoft’s Power BI. Develop a long-term vision for Power BI implementation and data analytics. Who is a Power BI Developer?

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

ProjectPro

DECEMBER 7, 2021

Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives. While data warehouses contain transformed data, data lakes contain unfiltered and unorganized raw data. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

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. Data lake.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Monte Carlo

JUNE 9, 2022

These features were helpful for Shoprunner to get visibility into how the data was used and determine which data pipelines could be turned off according to Valerie Rogoff, director of analytics data architecture. That’s the beauty of Monte Carlo because it allows us to see who is using data and where it is being consumed.

IT 52

IT Healthcare Raw Data Data Warehouse 52

Data Engineering Weekly

JANUARY 15, 2023

[link] Piethein Strengholt: Medallion architecture - best practices for managing Bronze, Silver, and Gold I always find myself very uncomfortable with the naming convention of medallion data architecture. The author writes a few best practices for managing medallion-style architecture.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Monte Carlo

APRIL 1, 2021

The past: manual and centralized catalogs Understanding the relationships between disparate data assets — as they evolve over time — is a critical, but often lacking dimension of traditional data catalogs. With the right approach, maybe we can finally drop the “ data swamp ” puns all together?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Government 52

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

Knowledge Hut

APRIL 25, 2024

They simplify data processing for our brains and give readers a quick overview of past, present, and future performance by helping the user to visualize otherwise complex and weighty raw data. By providing data solutions to departments that need them and to individuals with an insatiable curiosity for data, BI is made scalable.

Business Intelligence 52

Business Intelligence BI Raw Data Data Warehouse 52

ProjectPro

FEBRUARY 16, 2023

Your SQL skills as a data engineer are crucial for data modeling and analytics tasks. Making data accessible for querying is a common task for data engineers. Collecting the raw data, cleaning it, modeling it, and letting their end users access the clean data are all part of this process.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Rockset

AUGUST 2, 2023

All of these assessments go back to the AI insights initiative that led Windward to re-examine its data stack. The steps Windward takes to create proprietary data and AI insights As Windward operated in a batch-based data stack, they stored raw data in S3.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Monte Carlo

APRIL 4, 2023

For example, Snowflake offers data warehouses in different sizes and organizations may have several “data warehouses” to support different data use cases. A data mesh might leverage one or several cloud data warehouses depending on how closely the organization adheres to the dogma.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture 52