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

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

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

Knowledge Hut

OCTOBER 30, 2023

This data and reports are generated and developed by Power BI developers. A Power BI developer is a business intelligence personnel who thoroughly understands business intelligence, data integration, data warehousing, modeling, database administration, and technical aspects of BI systems.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Monte Carlo

MAY 28, 2024

Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources. Data Storage with Apache HBase : Provides scalable, high-performance storage for structured and semi-structured data.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Edureka

AUGUST 2, 2023

To make sure the data is precise and suitable for analysis, data processing analysts use methods including data cleansing, imputation, and normalisation. Data integration and transformation: Before analysis, data must frequently be translated into a standard format.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Edureka

FEBRUARY 7, 2023

Dynamic data masking serves several important functions in data security. It can be set up as a security policy on all SQL Databases in an Azure subscription. The main advantage of Azure Files over Azure Blobs is that it allows for folder-based data organisation and is SMB compliant, allowing for use as a file share.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Edureka

JULY 4, 2024

It’s a Swiss Army knife for data pros, merging data integration, warehousing, and big data analytics into one sleek package. In other words, Synapse lets users ingest, prepare, manage, and serve data for immediate BI and machine learning needs. Advanced Security Features Security is top-notch with Synapse.

Data Lake 40

Data Lake Pipeline-centric Data Warehouse ETL Tools 40

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

Silectis

JANUARY 3, 2021

Data Ingestion The process by which data is moved from one or more sources into a storage destination where it can be put into a data pipeline and transformed for later analysis or modeling. Data Integration Combining data from various, disparate sources into one unified view.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake Machine Learning BI 64

AltexSoft

MARCH 2, 2023

Data usability ensures that data is available in a structured format that is compatible with traditional business tools and software. Data integrity is about maintaining the quality of data as it is stored, converted, transmitted, and displayed. Learn more about data integrity in our dedicated article.

Data Governance 52

Data Governance Government Programming Healthcare 52

Knowledge Hut

DECEMBER 29, 2023

Data Mining Data science field of study, data mining is the practice of applying certain approaches to data in order to get useful information from it, which may then be used by a company to make informed choices. It separates the hidden links and patterns in the data. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

NOVEMBER 10, 2021

The data in this case is checked against the pre-defined schema (internal database format) when being uploaded, which is known as the schema-on-write approach. Purpose-built, data warehouses allow for making complex queries on structured data via SQL (Structured Query Language) and getting results fast for business intelligence.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

DECEMBER 29, 2023

The highlight feature of this platform is its potential to integrate semi-structured and structured data without using any third-party tools. Apache Hive It is a Hadoop-based data management and storage tool that allows data analytics through an SQL-like framework.

Data Engineering 40

Data Engineering Data Engineer Engineering BI 40

ProjectPro

JANUARY 31, 2022

Snowflake puts all data on a single high-performance platform by bringing data in from many locations, reducing the complexity and delay imposed by standard ETL processes. Snowflake allows data to be examined and cleaned immediately, assuring data integrity. Data security, as data is not accessible by humans.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

phData: Data Engineering

JULY 18, 2023

Demands on the cloud data warehouse are also evolving to require it to become more of an all-in-one platform for an organization’s analytics needs. Enter Snowflake The Snowflake Data Cloud is one of the most popular and powerful CDW providers.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

NOVEMBER 15, 2021

Companies like Yandex, CloudFare, Uber , eBay, Spotify have preferred Clickhouse owing to its performance, scalability, reliability, and security. With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

OCTOBER 20, 2021

Data Integration at Scale Most data architectures rely on a single source of truth. Having multiple data integration routes helps optimize the operational as well as analytical use of data. Data Security and Governance These vulnerabilities can make or break AI Systems at Scale.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

Snowflake

OCTOBER 28, 2024

Data gravity is the growing trend of application processes moving to the data rather than the other way around. It prioritizes the need to centralize data securely and reduces the need for costly movement across multiple systems. Amidst these dynamic forces, new trends have emerged.

Food 98

Food Media Retail Healthcare 98