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. How they are Similar?

Big Data 52

Big Data Datasets Data Analysis Media 52

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

Ascend.io

FEBRUARY 28, 2024

Read More: AI Data Platform: Key Requirements for Fueling AI Initiatives How Data Engineering Enables AI Data engineering is the backbone of AI’s potential to transform industries , offering the essential infrastructure that powers AI algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Precisely

APRIL 30, 2024

These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data. It struggles with unstructured data like emails, scanned documents, or free-form text. Security considerations: RPA bots often require access to various systems and data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Monte Carlo

FEBRUARY 26, 2024

Data catalogs are important because they allow users of varying types to access useful data quickly and effectively and can help team members collaborate and maintain consistent organization-wide data definitions. Governance can be handled at a granular level and access control becomes part of the custom workflow.

Metadata 52

Metadata Government Data Data Governance 52

Monte Carlo

JUNE 6, 2023

The reality is that addressing data quality is unlikely to be the initiative that teams want to prioritize ahead of building shiny new products or services, but it’s often the one that they need to prioritize in order to maintain trust or scale their team and platform. The governance team treats every team output as a data product.

Data Governance 98

Data Governance Government Data Data Engineering 98

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 Data Cleanse 52

Knowledge Hut

MARCH 18, 2024

Let’s look at these in detail: SOAP (Simple Object Access Protocol) Web Services Soap is simply a protocol designed with the motive that programs that are built on different programming languages can easily exchange information. It is a message protocol specification for exchanging structured data. It publishes its API.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

Knowledge Hut

APRIL 23, 2024

This guide will help you comprehend big data 4 characteristics to understand all the containing Vs! Volume: Quantity vs Accessibility Volume is the first of the four V's in big data and pertains to the size or magnitude of data being generated, collected, and stored. Customer data come in numerous formats.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Towards Data Science

JUNE 8, 2023

The reality is that addressing data quality is unlikely to be the initiative that teams want to prioritize ahead of building shiny new products or services, but it’s often the one that they need to prioritize in order to maintain trust or scale their team and platform. The governance team treats every team output as a data product.

Data Governance 79

Data Governance Government Generalist Data Engineering 79

Knowledge Hut

OCTOBER 24, 2023

Documentation Business analysts evaluate data, provide reports, and produce documentation based on the data. Therefore, documentation is required and one of the best skills for business analysts. Business analysts can use documentation to make their points clearly and concisely in client and team meetings.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

Scott Logic

AUGUST 11, 2023

Search engines that search through websites on the internet are an example of a more general concept called a document search engine. In this context, a document is some structured data, containing a large piece of text (e.g. One solution could be matching words in the search query to words in the document.

Engineering 52

Engineering AWS Datasets Metadata 52

Snowflake

JULY 10, 2023

With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally. Mike Tuck, Air Pollution Specialist Why unstructured data?

Unstructured Data 40

Unstructured Data Python Process Scala 40

Snowflake

APRIL 20, 2023

The connector supports both the initial load of historical data as well as incremental updates. The latest data is regularly pulled from ServiceNow, and you control how frequently it is refreshed. See the Snowflake documentation for more info and get started today using the Quickstart Guide. Learn more.

Medical 56

Medical Retail Python Pharmaceutical 56

phData: Data Engineering

SEPTEMBER 19, 2023

Cost reduction by minimizing data redundancy, improving data storage efficiency, and reducing the risk of errors and data-related issues. Data Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

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 Datasets 52

Knowledge Hut

MARCH 27, 2024

Let's check some of the best big data analytics tools and free big data analytics tools. 14 Most Popular Big Data Analytics Tools Open-source big data analytics tools are intended to be publicly accessible and are typically managed and maintained by organizations with a specific mission.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

APRIL 25, 2024

Information Technology uses computer systems or devices to access information. This system is responsible for a large portion of any workforce, business operation, and other personal access information comprising an individual's daily activities. Data can be accepted as both singulars as well as plural subjects.

Technology 52

Technology Recruitment Media Cloud Computing 52

Knowledge Hut

SEPTEMBER 26, 2023

Effective Data Storage: Azure Synapse offers robust data storage solutions that cater to the needs of modern data-driven organizations. It provides the infrastructure necessary for efficient data storage and management, enabling you to store and access large volumes of data reliably.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Data Engineering Weekly

DECEMBER 18, 2022

Given the characteristic, are we having a “Big Data” problem? Can we spin off a machine with all the data stack and run through the analysis? The author writes an exciting blog, Modern data stack in a Box!! SaaS companies like Salesforce and Zendesk are increasingly processing and emitting sem-structure data.

Data Engineering 52

Data Engineering Data Engineer Engineering Relational Database 52

Knowledge Hut

SEPTEMBER 26, 2023

The insights derived from the data in hand are then turned into impressive business intelligence visuals such as graphs or charts for the executive management to make strategic decisions. In this post, we will discuss the top power BI developer skills required to access Microsoft’s power business intelligence software.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

Workfall

JULY 4, 2023

It supports structured and semi-structured data, with compatibility for various data formats. Snowflake provides automatic scaling, concurrency control, and workload isolation for efficient data processing. It integrates with popular BI tools, making it accessible for data analysis and reporting.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Monte Carlo

AUGUST 25, 2023

Understanding data warehouses A data warehouse is a consolidated storage unit and processing hub for your data. Teams using a data warehouse usually leverage SQL queries for analytics use cases. This same structure aids in maintaining data quality and simplifies how users interact with and understand the data.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Monte Carlo

FEBRUARY 27, 2024

Right now, RAG is the essential technique to make GenAI models useful by giving an LLM access to an integrated, dynamic dataset while responding to prompts. These databases are not just a trend, but a fundamental shift in how data is managed, accessed, and utilized in real-time AI applications.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Rockset

OCTOBER 4, 2022

Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The broad adoption of Apache Kafka has helped make these event streams more accessible. This means users need to configure their streams to batch data ahead of loading into ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Knowledge Hut

OCTOBER 30, 2023

Data Integration: Assist in integrating data from multiple sources into Power BI, ensuring data consistency and accuracy. Data Validation: Help validate data against predefined business rules and ensure data quality. Ensure compliance with data protection regulations.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Zalando Engineering

JANUARY 30, 2023

The procedures document the conditions (e.g. This structure allows all stakeholders involved in incident response to clearly understand the executed actions and target state of the system to expect. When we started in 2019, we first focused on a collection of procedures that were already known, but not consistently documented.

Management 57

Management Metadata Software Engineer Software Engineering 57

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. They provide a method for storing information in an organized manner that ensures it remains accessible while providing the mechanisms to protect the integrity, confidentiality, and availability of the information they hold.

Database 52

Database NoSQL Relational Database Data Storage 52

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. For data access, Synapse SQL, an enhanced version of TSQL, is used. ” All types of files, including text files, videos, images, documents, binary data, etc., can be supported by it.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. The Replication Manager support matrix is documented in our public docs.

Cloud 69

Cloud Data Lake Cloud Storage Metadata 69

Ascend.io

JULY 19, 2023

Implementing Data Governance Effective data governance is the backbone of any data management strategy, and even more so for a decentralized approach like data mesh. A robust data governance framework is crucial to ensure data quality, manage data access, and maintain compliance with regulatory requirements.

Data Governance 40

Data Governance Government Metadata Data 40

Knowledge Hut

MARCH 27, 2024

These are the situations where having a lot of data stored in one location and being able to access it quickly are necessary. What is a Data Structure? Using a data structure allows you to efficiently arrange data on a computer. Supports complex query relationships and ensures data integrity.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Rockset

JULY 28, 2022

It is widely supported and provides flexible JSON document storage at scale. MongoDB has native analytical capabilities allowing you to build up complex transformation and aggregation pipelines to be executed on the documents. Documents in MongoDB can also have complex structures.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Knowledge Hut

JULY 24, 2023

The demand for speedy and effective data retrieval increases as databases get bigger and more complicated. Indexing in DBMS is a basic idea that speeds up data retrieval by offering a structured and organized means to access and locate particular data within a database.

Database 52

Database Utilities Datasets Accessible 52

Edureka

FEBRUARY 8, 2024

Use cases for memory-optimized instances include- Database Servers- Applications like relational databases benefit from the higher memory capacity to store and retrieve data efficiently. In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access.

AWS 52

AWS NoSQL Deep Learning Datasets 52