Snowflake

SEPTEMBER 7, 2023

By leveraging External Access with Snowpark, Omnata have launched the first fully native data integration product built on Snowflake which supports syncing data both to and from external Software-As-a-Service applications. Now users with USAGE privilege on the CHATGPT function can call this UDF.

Amazon Web Services 116

Amazon Web Services AWS Government Python 116

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

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

Precisely

MARCH 27, 2023

At the same time, its highly integrated go-to-market processes needed to evolve in parallel with several other transformational projects that relied on a common set of data. Changing consumer preferences, along with a shift in focus toward digital channels, was driving the need for new approaches to data integrity at the company.

Food 52

Food Consulting Pharmaceutical Data Lake 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

Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

APRIL 23, 2024

Big Data certification course will support you in learning big data skills from the greatest mentors to help you build a career in big data. Top 10 Disadvantages of Big Data 1. Need for Skilled Personnel We see data in different forms; it can be categorized into structured, semi-structured, and unstructured data.

Big Data 52

Big Data Media Government Big Data Skills 52

Monte Carlo

FEBRUARY 7, 2024

What GenAI will do (probably) Few data leaders doubt that GenAI has a big role to play in data engineering — and most agree GenAI has enormous potential to make teams more efficient. Automating QA: GenAI can analyze, detect, and surface basic errors in data and code across pipelines.

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

Knowledge Hut

MARCH 28, 2024

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. Familiarity with ETL tools and techniques for data integration.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

DataKitchen

FEBRUARY 27, 2024

Challenges in Developing Reliable LLMs Organizations venturing into LLM development encounter several hurdles: Data Location: Critical data often resides in spreadsheets, characterized by a blend of text, logic, and mathematics.

Data Engineering 46

Data Engineering Data Engineer Engineering Unstructured Data 46

ProjectPro

JANUARY 24, 2023

AWS Glue based on several aspects to help you choose the right platform for your big data project needs. What is Azure Data Factory? Azure Data Factory is a cloud-based data integration tool that lets you build data-driven processes in the cloud to orchestrate and automate data transfer and transformation.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

Databand.ai

JULY 11, 2023

Data quality platforms can be standalone solutions or integrated into broader data management ecosystems, such as data integration, business intelligence (BI), or data analytics tools. In this article: Why Do You Need a Data Quality Platform?

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

The Modern Data Company

MAY 10, 2023

In this case, alternatives such as data lakes or data lakehouses would be better. Date Lakehouse Choose a data lakehouse if your organization: Requires a unified platform to handle diverse analytics workloads and support structured and unstructured data. only structured data).

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric isn’t a standalone technology—it’s a data management architecture that leverages an integrated data layer atop underlying data in order to empower business leaders with real-time analytics and data-driven insights.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

The Modern Data Company

MAY 10, 2023

In this case, alternatives such as data lakes or data lakehouses would be better. Date Lakehouse Choose a data lakehouse if your organization: Requires a unified platform to handle diverse analytics workloads and support structured and unstructured data. only structured data).

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In this case, alternatives such as data lakes or data lakehouses would be better. Date Lakehouse Choose a data lakehouse if your organization: Requires a unified platform to handle diverse analytics workloads and support structured and unstructured data. only structured data).

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Striim

AUGUST 31, 2023

Showing how Kappa unifies batch and streaming pipelines The development of Kappa architecture has revolutionized data processing by allowing users to quickly and cost-effectively reduce data integration costs. Stream processors, storage layers, message brokers, and databases make up the basic components of this architecture.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

DareData

JULY 5, 2023

We've seen this happen in dozens of our customers: data lakes serve as catalysts that empower analytical capabilities. If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. And what is the reason for that?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data Integration Combining data from various, disparate sources into one unified view.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

JULY 26, 2023

SQL (Structured Query Language) is a standard language for interacting with relational databases, allowing users to conduct operations such as data creation, modification, and querying. To ensure data consistency and reliability, the ACID (Atomicity, Consistency, Isolation, and Durability) properties are maintained.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JUNE 20, 2023

They transform unstructured data into scalable models for data science. Data Engineer vs Machine Learning Engineer: Responsibilities Data Engineer Responsibilities: Analyze and organize unstructured data Create data systems and pipelines.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Monitoring: It is a component that ensures data integrity.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

JULY 4, 2023

Role and Responsibility of Data Scientist Selecting features, creating and optimizing classifiers with machine learning tools Preprocessing structured and unstructured data Improving data gathering techniques to include all important information for the development of analytic systems Data processing, cleansing, and validation to ensure data integrity (..)

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Edureka

FEBRUARY 7, 2023

They should also be comfortable working with a variety of data sources and types and be able to design and implement data pipelines that can handle structured, semi-structured, and unstructured data.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

ProjectPro

SEPTEMBER 30, 2014

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations. Industry experts place a great emphasis on individuals to learn Hadoop.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

Rockset

JULY 29, 2022

Data warehouses are popular because they help break down data silos and ensure data consistency. You can aggregate and analyze relevant data from multiple sources without worrying about inconsistent and inaccessible data. Additionally, data warehouses are great at offering historical intelligence.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

AltexSoft

FEBRUARY 11, 2023

Sample of a high-level data architecture blueprint for Azure BI programs. Source: Pragmatic Works This specialist also oversees the deployment of the proposed framework as well as data migration and data integration processes.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. She holds a Computer Science degree, and has authored eight patents.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

APRIL 20, 2023

It employs sophisticated methods to safeguard data confidentiality, preserve data integrity and authenticity, and ensure timely data availability. Parameters Cybersecurity Data Science Expertise Protects computer systems and networks against unwanted access or assault.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

MARCH 26, 2024

Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Ascend.io

DECEMBER 14, 2022

As data became the backbone of most businesses, data integration emerged as one of the most significant challenges. Today, a good part of the job of a data engineer is to move data from one place to another by creating pipelines that can be either ETL vs. ELT. However, that is less and less the case.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

ProjectPro

JULY 3, 2015

This new version of HANA focusses on mission critical applications by processing big data and connecting the Internet of Things (IoT) to help enterprises climb a step ahead in innovating next gen big data applications. Helps data mining of raw data that has dynamic schema (schema changes over time).

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40