Data Engineering Weekly

MAY 5, 2024

The platform also emphasizes extensibility and future-proofing against rapid technology changes, focusing on responsible AI usage, multi-tenancy, self-service capabilities, and seamless integration with existing systems. The fact that the nature of the event sourcing mostly deals with JSON structure adds more complexity.

Data Engineering 68

Data Engineering Data Engineer Engineering Google Cloud 68

Precisely

SEPTEMBER 9, 2024

“Enterprises are more mature in managing the quality of structured data than newer data types.” Organizations are adept at managing the quality of structured data, but management of unstructured and semi-structured data is less mature. •

Management 64

Management High Quality Data Structured Data Data Lake 64

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. Data warehousing offers several advantages. By structuring data in a predefined schema, data warehouses ensure data consistency and accuracy.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Striim

SEPTEMBER 11, 2024

In an ETL-based architecture, data is first extracted from source systems, then transformed into a structured format, and finally loaded into data stores, typically data warehouses. This method is advantageous when dealing with structured data that requires pre-processing before storage.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Data Engineering Weekly

APRIL 7, 2024

link] Sponsored: Data Integration Leader Virtual Event Feat: Speakers from Doordash, LiveRamp, and Clearwater Analytics Join us for this free data integration webinar featuring speakers Nikita (Director of Engineering at Doordash), Abhishek (Platform Architect at LiveRamp), and Darrel (Distinguished Engineer at Clearwater Analytics).

Data Engineering 71

Data Engineering Data Engineer Engineering Unstructured Data 71

Precisely

MARCH 9, 2023

A data warehouse implies a certain degree of preprocessing, or at the very least, an organized and well-defined data model. Data lakes, in contrast, are designed as repositories for all kinds of information, which might not initially be organized and structured.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

Knowledge Hut

MARCH 15, 2024

RDBMS vs NoSQL: Features Here's a brief overview of the features of both RDBMS and NoSQL, pointwise: RDBMS: Utilizes structured tables to organize data. Enforces ACID (Atomicity, Consistency, Isolation, Durability) properties for data integrity. Queries are performed using SQL (Structured Query Language).

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Hevo

SEPTEMBER 4, 2024

A data warehouse is a centralized system that stores, integrates, and analyzes large volumes of structured data from various sources. It is predicted that more than 200 zettabytes of data will be stored in the global cloud by 2025.

Data Warehouse 72

Data Warehouse Structured Data Data Cloud 72

Knowledge Hut

JANUARY 29, 2024

Here are some common examples: Merging Data Sources : Combining data from multiple sources into one cohesive dataset for analysis, facilitating comprehensive insights. Cleaning Data: Removing irrelevant or unnecessary data, ensuring that only pertinent information is used for analysis. Frequently Asked Questions (FAQs) 1.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Precisely

SEPTEMBER 6, 2023

However, fewer than half of survey respondents rate their trust in data as “high” or “very high.” ” Poor data quality impedes the success of data programs, hampers data integration efforts, limits data integrity causing big data governance challenges.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Precisely

JANUARY 23, 2024

Enterprise Challenges in 2024 and Beyond The big-picture process of building data that is accurate, consistent and contextual – or data integrity – calls for a systematic approach combining technology tools, internal change management, and a company-wide commitment to results.

Technology 69

Technology Data Governance Government Programming 69

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 75

Unstructured Data Data Lake Data Architecture Data 75

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Precisely

OCTOBER 5, 2023

While answers will vary by organization, chances are there’s one commonality: it’s more data than ever before. But what do you do with all that data? Data enrichment is essential to achieving that critical element of context. Data enrichment is essential to achieving that critical element of context.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

Snowflake

JUNE 4, 2024

Cortex Analyst (public preview soon), built using Meta Llama 3 and Mistral Large models, allows developers to surface insights for business users with a service that turns text to answers from analytical tables in Snowflake and Cortex Search (public preview soon) to ask questions against documents and other unstructured text.

Data Security 121

Data Security Machine Learning Unstructured Data SQL 121

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction.

Architecture 124

Architecture Metadata Kafka Government 124

Knowledge Hut

APRIL 25, 2023

Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Netflix Tech

OCTOBER 27, 2020

The field names should exactly match for Bulldozer to convert the structured data entries into the key-value pairs. Users can use the protobuf schema KeyMessage and ValueMessage to deserialize data from Key-Value DAL as well. When Bulldozer moves these versioned data, it usually has the following requirements: Data Integrity.

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Data Warehouse Datasets Data Big Data 100

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Management Data Lake Data Governance 52

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

JUNE 28, 2023

Focus Exploration and discovery of hidden patterns and trends in data. Reporting, querying, and analyzing structured data to generate actionable insights. Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data.

Data Mining 52

Data Mining Business Intelligence BI Structured Data 52

DareData

JANUARY 30, 2023

AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Talend Data Fabric: A comprehensive data management platform that includes a range of tools for data integration, data quality, and data governance.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Towards Data Science

JANUARY 17, 2024

These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. They are designed to handle the challenges of big data like size, speed, and structure. Data engineers often face a plethora of choices. Plus, there’s the _delta_log folder.

Big Data 97

Big Data Data Data Storage SQL 97

Precisely

APRIL 17, 2023

Privacy and security are increasingly under the spotlight, driving an increased focus on regulatory compliance and data governance. Most enterprises also recognize the value of unifying their data, providing a holistic view across various departments and divisions. Data quality remains a top concern for many enterprises.

Data Governance 59

Data Governance Government Data Data Integration 59

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. 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

ProjectPro

FEBRUARY 16, 2023

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades. Q) Does AWS have an ETL Tool?

AWS 52

AWS Data Management ETL Tools Management 52

Hevo

MAY 3, 2024

However, businesses may face data storage and processing challenges in a data-rich world. With Azure Postgres, you can store and process unstructured and structured data, but it lacks real-time analytics and data […]

Data Storage 52

Data Storage Structured Data Data Process 52

Rockset

DECEMBER 17, 2021

James is the CEO and Founder of Omnata , a tech startup building data integration for the modern data stack. For those unfamiliar, DynamoDB makes database scalability a breeze, but with some major caveats. So it’s truly incredible to finally see this level of simplicity emerge in the market.

SQL 52

SQL NoSQL Database Design Metadata 52

Striim

AUGUST 22, 2024

More often than not, you need a data pipeline that begins with data integration and then enables you to do several things to the data in-flight before delivery to the target. Therefore, another essential component for real-time data analytics is the infrastructure to handle real-time event processing.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Function Variety Big Data encompasses diverse data types, including structured, unstructured, and semi-structured data. It involves handling data from various sources such as text documents, images, videos, social media posts, and more.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

APRIL 25, 2024

As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever. Data Integration Data integration is the process of combining information from several sources to give people a cohesive perspective.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52