Ascend.io

NOVEMBER 21, 2023

ELT (Extract, Load, Transform) is a data integration technique that collects raw data from multiple sources and directly loads it into the target system, typically a cloud data warehouse. Extract The initial stage of the ELT process is the extraction of data from various source systems.

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Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle.

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Raw Data Data Mining Data Preparation Structured Data 52

The Modern Data Company

APRIL 15, 2024

There’s a common saying about not wanting to know how the sausage is made, suggesting that the process behind many things we enjoy—be it our favorite food or the conveniences of modern technology—might not be as appealing as the end product itself. This analogy rings especially true in the world of data.

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Knowledge Hut

APRIL 23, 2024

Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques. Whereas, Business Intelligence is the set of technologies and applications that are helpful in drawing meaningful information from raw data. How Business Intelligence and Data Science are Similar?

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Knowledge Hut

OCTOBER 27, 2023

More opportunities emerge in the market as more industries recognise the power of Data Science. If you are interested in Data Science and want to gain a firm grasp on the technology, now is as good a time as any to hone your skills in order to fully understand and organise the forthcoming challenges in Data Science.

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Ascend.io

JANUARY 2, 2024

The key differentiation lies in the transformational steps that a data pipeline includes to make data business-ready. Ultimately, the core function of a pipeline is to take raw data and turn it into valuable, accessible insights that drive business growth. How will the success of the data pipeline be measured?

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Knowledge Hut

JANUARY 22, 2024

Financial technology, popularly referred to as FinTech, is one of the fastest-growing areas of technological innovation and is popular with venture capitalists. FinTech refers to a set of technologies that focus on new ways of providing banking and financial services to consumers.

Data Science 52

Data Science Banking Big Data Insurance 52

Ascend.io

FEBRUARY 23, 2024

Read More: 7 AI Use Cases: Where to Start Leveraging AI in Your Enterprise What technologies must be available? The elasticity and services available in the cloud are a core reason that these technologies exist, so you need to be there too. Most AI models have very similar interfaces for integrating into your data systems.

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Data Engineering Podcast

DECEMBER 11, 2021

In order to make it easier for developers to build customer profiles in a way that respects their privacy Serge Huber helped to create the Apache Unomi framework as an open source customer data platform. The data you’re looking for is already in your data warehouse and BI tools. Why is access to raw data so important ?

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Data Warehouse Raw Data Data Lake BI 100

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

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Knowledge Hut

JUNE 20, 2023

Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world. Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data.

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Machine Learning Data Engineering Data Engineer Engineering 52

Workfall

SEPTEMBER 18, 2023

It simplifies the process of extracting, transforming, and loading (ETL) data by providing connectors for a wide range of data sources and destinations. Whether you need to integrate data from databases, APIs, cloud services, or other systems, Airbyte provides the tools to make it easier and more efficient.

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Data Pipeline Raw Data Data Schemas Healthcare 93

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

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Business Intelligence BI Data Mining Raw Data 52

Ascend.io

JANUARY 10, 2024

Creating a Robust AI Ecosystem: People, Process, and Technology The difference between a successful AI implementation and a failed attempt often hinges on the strength of the foundational framework established at the outset. And technology? This isn’t just about quantity; it’s about the relevance and diversity of your data.

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Data Pipeline Government Data Governance Raw Data 52

RandomTrees

DECEMBER 20, 2023

The next wave of AI technologies that will be prevalent in our daily lives, may not be so far off. Artificial intelligence (A.I.) To replicate human cognition, AI uses a system named deep neural network. The Future Of Edge Technology Edge AI is an emerging field that is experiencing rapid growth. Reduced power.

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IT Hospitality Healthcare Deep Learning 52

The Modern Data Company

FEBRUARY 15, 2023

Technology moves fast. Companies must then take creative measures to “fix” technology challenges, leaving them with temporary solutions that quickly obsolesce. You can’t blame companies for playing the cards they’re given, but now data debt is costing companies more than they think, even when solutions seem to be working…for now.

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Government Data Governance Raw Data Data 98

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

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Data Management Data Lake Management Data Warehouse 52

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

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Data Lake Data Warehouse Hadoop Raw Data 59

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Databand.ai

AUGUST 30, 2023

It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. Data Sources Data sources are the backbone of any DataOps architecture.

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Architecture Data Ingestion Data Governance Data Cleanse 52

Data Engineering Weekly

FEBRUARY 26, 2023

The author points out that Data contracts are a technical implementation, not an organizational one. I believe Data Contract is a technology solution to bring organizational change. It is something like how Kubernetes is a technology solution, at the same time, drives the system architecture to certain characteristics.

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Data Engineering Data Engineer Engineering Raw Data 57

Knowledge Hut

NOVEMBER 16, 2023

It's no surprise that Generative AI has been revolutionizing our world in 2023 so far, where clever systems are changing the game. This Generative AI technology is like having a super-efficient assistant that can perform all sorts of tasks. These smart tools, as we may call them, are transforming our work and everyday lives.

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Medical Healthcare Hospitality Entertainment 52

Snowflake

JUNE 30, 2023

To make that happen, it leverages the breadth of the Snowflake platform to transform raw data from multiple financial and operational systems into a common data model that users can understand more easily. Maxa’s goal is to automate financial and operations ERP insights extremely fast and without requiring special skills.

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Unstructured Data Raw Data Python SQL 92

Knowledge Hut

APRIL 25, 2024

(with Example) Spatial analysis , commonly referred to as geospatial data science is a geographical solution that combines data science with geographic solutions like geographic information systems (GIS).In In that case, they can find these answers by leveraging spatial data science methodologies and geospatial technology.

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Data Science Telecommunication Transportation Big Data 52

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

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Data Science Data Mining Deep Learning Programming Language 98

Ascend.io

AUGUST 31, 2023

Modern Cloud Data Platforms The native capabilities of the cloud providers have been joined by third-party services to offload that data into separate less costly systems that are optimized for analysis of that data. Transform before Load: The ETL process conforms data to the static, predefined warehouse schema.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Knowledge Hut

NOVEMBER 20, 2023

This involves leveraging learning from data systems and making better decisions. Artificial intelligence specialists work on data-driven problem points and design automated solutions. Improve AI systems and adapt to the evolving AI trends. The most common job types include AI engineer, data analyst, data scientist, etc.

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Recruitment Algorithm Machine Learning Computer Science 52

Knowledge Hut

JUNE 28, 2023

Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data. Structured data from databases, data warehouses, and operational systems. Goal Extracting valuable information from raw data for predictive or descriptive purposes.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Databand.ai

JUNE 8, 2023

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. This ensures the reliability and accuracy of data-driven decision-making processes.

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Knowledge Hut

NOVEMBER 2, 2023

Common Applications Data Augmentation, Music composition Sentiment Analysis, fraud detection Difference Between Generative AI and Machine Learning Listed below is a detailed description highlighting each of the parameters that I have discussed above. Some of the most common applications of machine learning include: c.

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

Towards Data Science

MAY 3, 2023

Data Engineering Learn about slow change dimensions (SCD) and how to implement SCD Type 2 in VDK Photo by Joshua Sortino on Unsplash Data is the backbone of any organization, and in today’s fast-paced world, it is crucial to keep track of its versions. Summary Congratulations!

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Data Lake Data SQL Data Warehouse 87

Cloud Academy

JANUARY 27, 2022

A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. Earlier we mentioned ETL or extract, transform, load.

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Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JULY 28, 2023

We will see how the two technologies differ or overlap and will answer the question - What is the difference between machine learning and deep learning? DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. Below is a thorough article on Machine Learning vs Deep Learning.

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Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

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Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

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Cloudera

NOVEMBER 17, 2020

Knowing that a transaction is fraudulent is a critical requirement for financial services companies, but knowing that a transaction that was flagged by a rules-based system as fraudulent is a valid transaction, can be equally important. Data analysis – create a plan to build the model.

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