Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. But while the modern data stack , and how it’s structured, may be evolving, the need for reliable data is not — and that also has some real implications for your data platform.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Snowflake

MARCH 7, 2024

Compared to traditional AI models, generative AI/LLMs provide a significant uplift in tackling the wealth of unstructured data that make up things such as loan agreements, claims agreements, underwriting documents and the like. How do Gen AI/LLMs “democratize” access to insights?

Unstructured Data 81

Unstructured Data Government Data Architecture Architecture 81

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Snowflake

JANUARY 22, 2024

As part of that transition, Fidelity has consolidated its analytics data into its Enterprise Analytics Platform, which is engineered using the Snowflake Data Cloud, making it easier for teams and departments across the company to access the data they need. Historically, the platform was housed in physical servers.

Engineering 62

Engineering Data Lake Unstructured Data Metadata 62

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Weekly

MARCH 3, 2024

Part 2: Rippling's security data lakehouse and modular design DoorDash: Introducing DoorDash’s In-House Search Engine DoorDash writes about its in-house search engine to address scalability and efficiency issues identified with Elasticsearch's previous search architecture.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. Luke: What is a modern data platform?

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Knowledge Hut

MARCH 26, 2024

Solutions Architect Careers: Overview Here's an overview of the demand and benefits of a career in Solutions Architecture: A. Cybersecurity Concerns: With the rise in cyber threats, organizations are prioritizing security in their IT architectures. Proficiency in relevant technologies, frameworks, and architectural patterns.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Monte Carlo

JANUARY 23, 2023

But while most every company would consider themselves a “data-first” organization, not every data architecture is treated to the same level of democratization and scalability. In this post we’ll look at the dizzyingly buzzy data mesh and how it stacks up to the more traditional aggregated architectural approach of a data lake.

Data Lake 52

Data Lake Unstructured Data Business Intelligence Architecture 52

Monte Carlo

AUGUST 31, 2023

As a result, companies are increasingly treating their data like code, applying frameworks and paradigms long-standard among software engineering teams to their data organizations and architectures. In many ways, the cloud makes data easier to manage, more accessible to a wider variety of users, and far faster to process.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Snowflake

JANUARY 26, 2023

requires multiple categories of data, from time series and transactional data to structured and unstructured data. initiatives, such as improving efficiency and reducing downtime by including broader data sets (both internal and external), offers businesses even greater value and precision in the results.

Data Ingestion 52

Data Ingestion Manufacturing Unstructured Data Architecture 52

The Modern Data Company

JUNE 26, 2023

DataOS provides a composable and agile data operating system that can be adapted to any data architecture, be it a data fabric, data mesh, lakehouse, or something new. It democratizes access to high-quality, governed, and secure data in real-time. There is no pressure to replace components in use.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

DataOS provides a composable and agile data operating system that can be adapted to any data architecture, be it a data fabric, data mesh, lakehouse, or something new. It democratizes access to high-quality, governed, and secure data in real-time. There is no pressure to replace components in use.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

DataOS provides a composable and agile data operating system that can be adapted to any data architecture, be it a data fabric, data mesh, lakehouse, or something new. It democratizes access to high-quality, governed, and secure data in real-time. There is no pressure to replace components in use.

Retail 52

Retail Government Data Governance Unstructured Data 52

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data. What is COSHH?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

APRIL 26, 2024

Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science? In order to discover insights and then analyze multiple structured and unstructured data, Data Science requires the use of different instruments, algorithms and principles.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? Atlan Atlan offers a modern approach to data governance.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

SEPTEMBER 26, 2023

Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands. Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Snowflake

APRIL 5, 2023

With Snowflake’s support for multiple data models such as dimensional data modeling and Data Vault, as well as support for a variety of data types including semi-structured and unstructured data, organizations can accommodate a variety of sources to support their different business use cases.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Silectis

JANUARY 3, 2021

Big Data Large volumes of structured or unstructured data. Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 29, 2023

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage. They control and safeguard the flow of organized and unstructured data from many sources.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 22, 2023

Knowledge of cloud principles and an awareness of the fundamental elements of Azure's architecture are among the abilities assessed in the certification examinations. Data Engineers On-site and cloud data platform technologies are configured and provisioned by data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

APRIL 1, 2021

Historically, many companies have used data catalogs to enforce data quality and data governance standards, as they traditionally rely on data teams to manually enter and update catalog information as data assets evolve. With the right approach, maybe we can finally drop the “ data swamp ” puns all together?

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Knowledge Hut

NOVEMBER 28, 2023

Computer science, mathematics, and statistics training are often required for data science positions. Data scientists do more than just model and process structured and unstructured data; they also translate the results into useful strategies for stakeholders. Average Data Scientist Pay vs.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Snowflake

JUNE 28, 2023

Since its launch two years ago, Snowpark has been empowering data scientists, data engineers, and application developers to streamline their architectures, accelerate development, and boost the performance of data engineering and ML/AI workloads on Snowflake.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Cloudera

DECEMBER 7, 2020

Leaders are moving to “segments of one,” defined as tracking and understanding individual behaviors across all touchpoints using the data to customize offers, products, or services to the individual customer.

Retail 61

Retail Unstructured Data Big Data Media 61

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.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. They mainly belong in the software engineering background or database administration.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

OCTOBER 25, 2021

This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. But a lot of data (by different estimations, 70 or 80 percent of all clinical data) remains unstructured , kept in textual reports, clinical notes, observations, and other narrative text.

Medical 52

Medical Healthcare Process Hospitality 52

Cloudera

JULY 29, 2022

This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. Rather, it means a holistic and comprehensive enterprise data strategy, spanning both, supported by a modern data architecture. . The telco industry has also increased its spend by 48% on similar initiatives. .

Data Architecture 84

Data Architecture Architecture Unstructured Data Government 84

ProjectPro

JANUARY 19, 2022

An Azure Data Engineer is a highly qualified expert responsible for integrating, transforming, and merging data from various structured and unstructured sources into a structure used to construct analytics solutions. Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

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. Central to this transformation are two shifts.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52