Towards Data Science

MAY 14, 2024

Dataform enables the application of software engineering best practices such as testing, environments, version control, dependencies management, orchestration and automated documentation to data pipelines. js for data transformations and logic. It is a serverless, SQL workflow orchestration workhorse within GCP. json config file.

Data Pipeline 68

Data Pipeline Coding Raw Data Accessible 68

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. Small Data is collected and processed at a slower pace.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

MARCH 20, 2024

Data is the primary focus of computer programming. The flow of data is what makes an application or project functional, and it is over this data that all business logic is built. For optimal utilization, it is therefore essential to arrange and store the data and use a solid data model for efficient programming.

Computer Science 52

Computer Science Programming Language Algorithm Software Engineer 52

Snowflake

JANUARY 24, 2024

Governments collect more data than any other type of entity on the planet, yet their ability to use data to serve citizens more effectively has always been limited. When the right people have equal access to data, decision-making can be democratized and determinations reached in near real time.

Government 96

Government Data Management Cloud Data 96

Knowledge Hut

APRIL 26, 2024

There are many applications of Python, and the most popular ones are in the realms of website deployment and data science , which includes machine learning , data analysis and visualization and scripting. The syntax for accessing each element of the list is variable_name[index]. So, variable can be declared as below.

Python 98

Python Programming Language Programming Data Analysis 98

Snowflake

MARCH 18, 2024

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. The majority of it (80%) is now estimated to be unstructured data such as images, videos, and documents — a resource from which enterprises are still not getting much value.

Unstructured Data 85

Unstructured Data Government Data Pipeline Cloud 85

Knowledge Hut

JANUARY 29, 2024

However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle. It is in this intricate process of assembling, cleaning, and refining data that the magic of Data Wrangling unfolds. Why Is Data Wrangling Important?

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

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

NOVEMBER 2, 2023

These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh. Rather than defining schema upfront, a user can decide which data and schema they need for their use case.

Data Lake 89

Data Lake Data Warehouse Cloud Unstructured Data 89

Knowledge Hut

MAY 3, 2024

Perform iteration with enumerate() instead of range() Consider a situation during a coding interview: You have a list of elements, and you have to iterate over the list with the access to both the indices and values. How to Select the Correct Built-in Function? The built-in functions are always available and are not needed to be imported.

Python 98

Python Coding Data Programming 98

AltexSoft

MAY 12, 2023

Of course, tapping into this immense pool of unstructured data may offer businesses a wealth of opportunities to better understand their customers, markets, and operations, ultimately driving growth and success. What is unstructured data? This mess of information is analogous to unstructured data. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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

Knowledge Hut

JULY 24, 2023

In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. Disruptive database technologies include, for instance: Blockchain Blockchain is a distributed ledger technology that enables data to be safely stored across several nodes in a decentralized (or sometimes in a centralized) manner.

Database 52

Database NoSQL Management Relational Database 52

Towards Data Science

DECEMBER 23, 2023

Photo by Ian Taylor on Unsplash This tutorial guides you through an analytics use case, analyzing semi-structured data with Spark SQL. We’ll start with the data engineering process, pulling data from an API and finally loading the transformed data into a data lake (represented by MinIO ).

SQL 75

SQL Data Analytics Hadoop Raw Data 75

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

Snowflake

MARCH 30, 2023

Just as a dimensional data model will transform data for human consumption, ML models need raw data transformed for ML model consumption through a process called “ feature engineering.” Data Vault explicitly defines a set of standards called “hard rules” to automate data extraction, cleaning, and modeling into raw vault tables.

Engineering 82

Engineering Raw Data Data Science Scala 82

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

Data Management 52

Data Management Data Lake Management Data Governance 52

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

Knowledge Hut

MARCH 22, 2024

On the other hand, in non-linear data structures, the elements do not form a sequence. The choice between using a linear or non-linear data structure depends on the access patterns needed for the application. Also, we will learn about how to choose a data structure for a different use case, let's get started.

Algorithm 52

Algorithm Data Datasets Accessible 52

Knowledge Hut

MARCH 15, 2024

RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas. In an RDBMS, data is kept in rows and columns. Unstructured, schema-less data can be stored in various collections and nodes using NoSQL. What is RDBMS?

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

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

ProjectPro

AUGUST 24, 2016

Table of Contents Need for HBase HBase –Understanding the Basics HBase Architecture Explained Components of Apache HBase Architecture HMaster Region Server Zookeeper Need for HBase Apache Hadoop has gained popularity in the big data space for storing, managing and processing big data as it can handle high volume of multi-structured data.

Architecture 40

Architecture IT Hadoop NoSQL 40

Knowledge Hut

SEPTEMBER 26, 2023

Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types. Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

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