Knowledge Hut

APRIL 23, 2024

Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? However, it also severely limits the scope of the data.

Big Data 52

Big Data Relational Database Data Datasets 52

Analytics Vidhya

FEBRUARY 2, 2023

Introduction SQL injection is an attack in which a malicious user can insert arbitrary SQL code into a web application’s query, allowing them to gain unauthorized access to a database. We can use this to steal sensitive information or make unauthorized changes to the data stored in the database.

Database 204

Database SQL Coding Accessible 204

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. According to a database model, the organization of data is known as database design. The designer must decide and understand the data storage, and inter-relation of data elements. SQL stands for Structured Query Language.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Snowflake

JULY 27, 2023

In this guest blog post, HomeToGo’s director of data, Stephan Claus, explains why the company migrated to Snowflake to meet its data needs. This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022. Founded in 2014, the company’s vision is to make incredible homes easily accessible to everyone.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

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?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Striim

MAY 1, 2024

UPS Capital recognizes the challenges faced by its customers in securing their package delivery ecosystem and is harnessing digital capabilities and data access to redefine traditional approaches, ensuring improved customer experiences and combating shipping loss.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 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

APRIL 23, 2024

With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. To fully harness the power of big data, it is crucial to comprehend and address the challenges presented by the four Vs of big data, i.e., Volume, Velocity, Variety, and Veracity.

Big Data 52

Big Data Media Datasets Unstructured Data 52

ThoughtSpot

MARCH 5, 2024

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management.

BI 94

BI Datasets Raw Data SQL 94

Data Engineering Weekly

APRIL 7, 2024

Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

U-Next

MARCH 1, 2023

A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial. In 2022, data engineering will hold a share of 29.8% Being a hybrid role, Data Engineer requires technical as well as business skills. What is AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Ascend.io

FEBRUARY 28, 2024

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? How can data engineers harness the power of AI?

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Snowflake

SEPTEMBER 19, 2023

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics.

Machine Learning 94

Machine Learning Unstructured Data Data Analytics Government 94

Knowledge Hut

JUNE 28, 2023

This table highlights various aspects such as data mining for business intelligence concepts techniques and applications. It also entails data utilization, analysis techniques, user roles, and applications, allowing for a comprehensive comparison between business intelligence and data mining cycle.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

The Modern Data Company

MAY 10, 2023

In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. Consider whether you need a solution that supports one or multiple data formats. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. Consider whether you need a solution that supports one or multiple data formats. 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 a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. Consider whether you need a solution that supports one or multiple data formats. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Monte Carlo

JULY 13, 2023

To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability. Automation is a missing link in many organizations’ efforts toward data operationalization. Automating self-service access.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Data scientists are likely to use a variety of different tools to move through their processes. Next Steps.

Data Analysis 88

Data Analysis PostgreSQL Data Science SQL 88

Snowflake

APRIL 17, 2023

All features rolled out in public preview in October 2022 are now generally available, including the ability to select specific columns for search optimization; faster searches in VARIANT, ARRAY, OBJECT, and GEOGRAPHY data types; and faster substring searches in string columns. It cut our Search Optimization Service cost by 90%!”

Food 57

Food Structured Data Utilities Accessible 57

Monte Carlo

JUNE 6, 2023

Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. I have spoken to dozens of data leaders in the past year to understand how they approach data quality as part of their overall organizational goals. The whole needs to be greater than the sum of its parts.

Data Governance 98

Data Governance Government Data Data Engineering 98

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. They clean, cumulate, connect and structure data for analysis-based applications.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

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. Quickly pull (fetch), filter, and reduce data.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Monte Carlo

FEBRUARY 27, 2024

On one hand, everyone’s talking about whether GenAI’s not-insignificant data engineering skills are going to automate away their jobs. On the other, business leaders are realizing that slapping a quick ChatGPT integration into their product isn’t going to cut it — and they’re looking to data engineers for a better solution.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Cloudera

DECEMBER 11, 2020

Finally, throw in the constant stream of cyberthreats out there and it’s clear that protecting your enterprise’s data is vital. As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Data security and governance champions – Merck KGaA.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

ProjectPro

FEBRUARY 16, 2023

ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. Cloud computing has made it easier for businesses to move their data to the cloud for better scalability, performance, solid integrations, and affordable pricing.

AWS 52

AWS Data Management ETL Tools Management 52

Towards Data Science

JUNE 8, 2023

Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. I have spoken to dozens of data leaders in the past year to understand how they approach data quality as part of their overall organizational goals. The whole needs to be greater than the sum of its parts.

Data Governance 79

Data Governance Government Generalist Data Engineering 79

phData: Data Engineering

SEPTEMBER 19, 2023

Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. It provides a blueprint for organizing and representing data to enable efficient querying, analysis, and interpretation. Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

JANUARY 3, 2024

A relational model is a powerful tool for organizing and manipulating data. Features of Relational Model in DBMS The relational model in DBMS has several features that make it well suited for storing data: atomicity, consistency, isolation, durability, data consistency, data working together, data flexibility, and lookup relationships.

MongoDB 52

MongoDB Relational Database Database Accessible 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? ” U.S.

Unstructured Data 40

Unstructured Data Python Process Scala 40

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. io.delta:delta-spark_2.12:3.0.0").config("spark.hadoop.fs.s3a.endpoint",

Big Data 73

Big Data Data Data Storage SQL 73

Cloudera

SEPTEMBER 29, 2021

Among governments’ priorities are encouraging digital adoption, facilitating access and usage of relevant government services alongside enabling more digital transactions. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Medical 79

Medical Government Hospitality Electronics 79

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

MARCH 27, 2024

So long as they have access to a few brief notes, it becomes easy for students to review and go over the fundamental ideas and techniques. Because of its complete accessibility, user-friendliness, and strong community support, Python is the most popular programming language among aficionados for machine learning.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 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. Data lakes are often used for situations in which an organization wishes to store information for possible future use.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Unstructured Data 80

Unstructured Data Data Warehouse Pharmaceutical MySQL 80