Knowledge Hut

JANUARY 29, 2024

Data wrangling offers several benefits, such as: Usable Data: Data wrangling converts raw data into a format suitable for analysis, ensuring the quality and integrity of the data used for downstream processes. Tabula : A versatile tool suitable for all data types, making it accessible for a wide range of users.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Snowflake

MARCH 14, 2024

Along with SNP Glue, the Snowflake Native App gives customers a simple, flexible and cost-effective solution to get data out of SAP and into Snowflake quickly and accurately. What’s the challenge with unlocking SAP data? Getting direct access to SAP data is critical because it holds such a breadth of ERP information.

IT 85

IT Data Ingestion Data AWS 85

Knowledge Hut

APRIL 26, 2024

The syntax for accessing each element of the list is variable_name[index]. The way we access the dictionary is variable_name[index] and the way indexing works in dictionary is by key pairs or rather keys like below print(dict_demo[‘fname’]) will yield fname1. So, variable can be declared as below.

Python 75

Python Programming Language Programming Data Analysis 75

Snowflake

JULY 27, 2023

Founded in 2014, the company’s vision is to make incredible homes easily accessible to everyone. Once the data is in the warehouse, we are leveraging Snowflake’s data warehousing features to handle it. Something that is especially handy is Snowflake’s support for semi-structured data.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Knowledge Hut

APRIL 23, 2024

This guide will help you comprehend big data 4 characteristics to understand all the containing Vs! Volume: Quantity vs Accessibility Volume is the first of the four V's in big data and pertains to the size or magnitude of data being generated, collected, and stored. Customer data come in numerous formats.

Big Data 52

Big Data Media Datasets Unstructured Data 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

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

ThoughtSpot

MARCH 5, 2024

Create Snowflake dynamic tables In Snowflake, create dynamic tables by writing SQL queries that define how data should be transformed and materialized. Grant ThoughtSpot access In Snowflake, grant the ThoughtSpot service account USAGE privileges on the schemas containing the dynamic tables. Set refresh schedules as needed.

BI 94

BI Datasets Raw Data SQL 94

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

MARCH 15, 2024

Programming languages like SQL (Structured Query Language) are used to update and retrieve data from databases, among other things. SQL is used by several popular relational database management systems, including Microsoft SQL Server, Sybase, Oracle, Access, etc. Structured Data: Ideal for complex relationships between entities.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

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. While using Amazon SageMaker datasets are quick to access and load. You can find the image dataset, time-series dataset, reviews, etc.

Data Science 87

Data Science Datasets Database Design Machine Learning 87

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. Data is stored in a schema-on-write approach, which means data is cleaned, transformed, and structured before storing.

Data Management 52

Data Management Management Data Lake Data Governance 52

Snowflake

MARCH 30, 2023

Schema drift on a wide table structure needs an ALTER TABLE statement, whereas the tall table structure does not. Raw vault does not dictate how those business process outcomes were calculated at the source system, nor does business vault dictate how the soft rules were calculated based on raw data. Enter Snowpark !

Engineering 81

Engineering Raw Data Data Science Scala 81

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. More flexible in terms of data organisation and access. Easier to understand and implement.

Algorithm 52

Algorithm Data Datasets Programming 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 74

SQL Data Analytics Hadoop Raw Data 74

Data Engineering Weekly

APRIL 7, 2024

link] Spotify: Data Platform Explained In the ever-evolving landscape of data-driven decision-making, a well-structured data platform emerges as a critical asset.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

U-Next

MARCH 1, 2023

They are also responsible for ensuring that the data is clean and organized, as well as making sure that it’s easily accessible to other departments within the company. They often work closely with database administrators to ensure they have access to all of the tools and resources needed to meet their goals.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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

Knowledge Hut

APRIL 25, 2024

Data Integration Data integration is the process of combining information from several sources to give people a cohesive perspective. The fundamental idea behind data integration is to open up data and make it simpler for individuals and systems to access, use, and process.

Big Data 52

Big Data Data Analytics Manufacturing Retail 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

APRIL 25, 2024

Information Technology uses computer systems or devices to access information. This system is responsible for a large portion of any workforce, business operation, and other personal access information comprising an individual's daily activities. Data can be accepted as both singulars as well as plural subjects.

Technology 52

Technology Recruitment Media Cloud Computing 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

JUNE 28, 2023

Focus Exploration and discovery of hidden patterns and trends in data. Reporting, querying, and analyzing structured data to generate actionable insights. Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

To choose the most suitable data management solution for your organization, consider the following factors: Data types and formats: Do you primarily work with structured, unstructured, or semi-structured data? Consider whether you need a solution that supports one or multiple data formats.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

SEPTEMBER 26, 2023

Effective Data Storage: Azure Synapse offers robust data storage solutions that cater to the needs of modern data-driven organizations. It provides the infrastructure necessary for efficient data storage and management, enabling you to store and access large volumes of data reliably.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

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. ADD SEARCH OPTIMIZATION ( without the ON clause ).

Food 54

Food Structured Data Utilities Accessible 54

Monte Carlo

AUGUST 25, 2023

Understanding data warehouses A data warehouse is a consolidated storage unit and processing hub for your data. Teams using a data warehouse usually leverage SQL queries for analytics use cases. This same structure aids in maintaining data quality and simplifies how users interact with and understand the data.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Monte Carlo

JULY 13, 2023

Data-driven organizations generate, collect, and store vast amounts of data. 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. Automating self-service access.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Cloudera

JUNE 3, 2022

When it comes to the early stages in the data science process, data scientists often find themselves jumping between a wide range of tooling. First of all, there’s the question of what data is currently available within their organization, where it is, and how it can be accessed. Next Steps.

Data Analysis 89

Data Analysis PostgreSQL Data Science SQL 89

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 88

Machine Learning Unstructured Data Data Analytics Government 88

Knowledge Hut

MARCH 18, 2024

Let’s look at these in detail: SOAP (Simple Object Access Protocol) Web Services Soap is simply a protocol designed with the motive that programs that are built on different programming languages can easily exchange information. It is a message protocol specification for exchanging structured data. It publishes its API.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

Knowledge Hut

MARCH 28, 2024

Have you ever wondered how large amounts of data are organized and accessed by computers? This magic lies in the world of data structures. More advanced data structures, such as B-trees, are used to index objects stored in databases. This lets you process or access all the data items sequentially.

Algorithm 52

Algorithm Java Utilities Programming 52

Towards Data Science

MAY 11, 2023

On the other hand, in the DOP version, to test calculate_name() code, we can create data to be passed into the function in isolation. In Python, data held by a class can still be accessed by any piece of code that has a reference to the object. to control who can access/change data in Python.

Programming 92

Programming Python Data Schemas Java 92

ProjectPro

JANUARY 27, 2023

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 52

BI ETL Tools Retail Healthcare 52