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 95

Machine Learning Unstructured Data Data Analytics Government 95

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. Companies need more than definitions. Needs to maintain data consistency and quality.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Knowledge Hut

JUNE 28, 2023

Parameter Data Mining Business Intelligence (BI) Definition The process of uncovering patterns, relationships, and insights from extensive datasets. Process of analyzing, collecting, and presenting data to support decision-making. Focus Exploration and discovery of hidden patterns and trends in data.

Data Mining 52

Data Mining Business Intelligence BI Datasets 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. Companies need more than definitions. Needs to maintain data consistency and quality.

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. Companies need more than definitions. Needs to maintain data consistency and quality.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

MAY 3, 2024

A thorough practice of these questions and answers on Python will definitely help you achieve your dream job as a Python Developer , Full Stack engineer, and other top profiles. A Python coding interview is basically a technical interview. Replace all integers divisible by 5 with “buzz”.

Python 98

Python Coding Data Programming 98

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

Data Engineering Weekly

JUNE 4, 2023

Our latest report highlights the impact of bad data on your bottom line (did you know that poor data quality impacts 31% of revenue?!) Access the Report Kaushik Muniandi: Text-Based Search - From Elastic Search to Vector Search Last month or so, I experimented with vector search with embedding.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Knowledge Hut

MARCH 22, 2024

What is a Data Structure? Data structures let programmers organize data for efficient usage by enabling computers to perform operations like insertion, deletion, searching, and sorting to efficiently arrange and store data in memory. The terms listed below are fundamental to data structures.

Algorithm 52

Algorithm Programming Language Software Engineer Software Engineering 52

Knowledge Hut

MARCH 27, 2024

These are the situations where having a lot of data stored in one location and being able to access it quickly are necessary. What is a Data Structure? Using a data structure allows you to efficiently arrange data on a computer. Supports complex query relationships and ensures data integrity.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 123

Architecture Metadata Government Kafka 123

Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Goal To extract and transform data from its raw form into a structured format for analysis.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 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

AltexSoft

MAY 12, 2023

By understanding these aspects comprehensively, you can harness the true potential of unstructured data and transform it into a strategic asset. What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

JUNE 26, 2023

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Dive deeper into the subject by reading our article Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

APRIL 25, 2024

You'll be better able to comprehend the complex ideas in this field if you have a solid understanding of the characteristics of big data in data analytics and a list of essential features for new data platforms. What Are the Different Features of Big Data Analytics?

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Monte Carlo

FEBRUARY 26, 2024

Data catalogs are important because they allow users of varying types to access useful data quickly and effectively and can help team members collaborate and maintain consistent organization-wide data definitions. Governance can be handled at a granular level and access control becomes part of the custom workflow.

Metadata 52

Metadata Government Data Data Governance 52

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. Instead, each element can connect to one or many other elements in no particular order.

Algorithm 52

Algorithm Data Datasets Accessible 52

Knowledge Hut

JANUARY 3, 2024

A linear data structure is one where data items are ordered either sequentially or in a linear fashion, and each member is attached to its neighboring elements. The linear data structure's elements can all be accessed in one run. What Is Data Structure? What Is Data Structure?

Data Storage 52

Data Storage Data Systems Data Science 52

Monte Carlo

FEBRUARY 15, 2023

Data Security Data Warehouses achieve security in multiple ways. For example, some data warehouses: Can only be accessed using a private cloud. Can only be accessed using a specific machine or location. Can only be accessed during a certain time of the day Can only be accessed using multi-factor authentication.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Ascend.io

JUNE 8, 2023

Data Ingestion Data in today’s businesses come from an array of sources, including various clouds, APIs, warehouses, and applications. This multitude of sources often causes a dispersed, complex, and poorly structured data landscape. Data sharing goes beyond simply making the data available.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Ascend.io

JULY 19, 2023

A robust data governance framework is crucial to ensure data quality, manage data access, and maintain compliance with regulatory requirements. Establish clear data governance policies. The policies should outline rules and standards for data. Develop a data product lifecycle framework.

Data Governance 40

Data Governance Government Metadata Data 40

Knowledge Hut

FEBRUARY 6, 2024

PowerShell for windows: A cross-platform automation and configuration framework or tool, that deals with structured data, REST APIs and object models. Distributed file systems A client machine can access data located on a Server machine. JavaScript: An interpreted scripting language to build websites 9.

Engineering 98

Engineering Programming Language Amazon Web Services Google Cloud 98

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables (not files/blobs) are the only API abstraction for end-users.

Big Data 78

Big Data Data Management Management Metadata 78

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. For data access, Synapse SQL, an enhanced version of TSQL, is used. For storing structured data that does not adhere to the typical relational database schema, use Azure Tables, a NoSQL storage solution.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts. These data sources may originate from within or outside the company.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

FEBRUARY 16, 2023

Category Business Intelligence (BI) Artificial Intelligence (AI) Definition A set of processes, architectures, and technologies that convert raw data into meaningful and useful information for business analysis purposes. Focus Historical data analysis, reporting, and visualization. PREVIOUS NEXT <

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Rockset

OCTOBER 4, 2022

Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The broad adoption of Apache Kafka has helped make these event streams more accessible. Data Model In most cases, ClickHouse will require users to specify a schema for any table they create.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

ProjectPro

FEBRUARY 16, 2023

Data engineers use SQL to modify any database and table structure and extract subsets of the data from the database for various business analytics use cases. Furthermore, creating reports from data analysis often involves repeating a process; stored procedures help data engineers overcome this challenge.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

AltexSoft

AUGUST 22, 2022

So, instead of replacing or rebuilding the existing infrastructure, you add a new, ML-powered abstraction layer on top of the underlying data sources, enabling various users to access and manage the information they need without duplication. Data fabric architecture example. Unified data access. Data catalog.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Knowledge Hut

MARCH 19, 2024

Basic Operations of a Queue in Data Structures Understanding the essential actions that govern queues is important to understand the working of the queues. Let's break down these fundamental operations, providing a clear definition for each: 1. This operation embodies the principle of "first come, first served."

Computer Science 52

Computer Science Java Utilities Data 52

Knowledge Hut

DECEMBER 29, 2023

The highlight feature of this platform is its potential to integrate semi-structured and structured data without using any third-party tools. Apache Hive It is a Hadoop-based data management and storage tool that allows data analytics through an SQL-like framework.

Data Engineering 40

Data Engineering Data Engineer Engineering BI 40

ProjectPro

MARCH 17, 2021

What follows is a straightforward and easy-to-understand primer on “Deep Learning” vs “Machine Learning” Table of Contents Deep Learning vs Machine Learning – Understanding the Differences Machine Learning vs Deep Learning – The Definition What is Machine Learning? What is Deep Learning?

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

Data Engineering Weekly

MARCH 24, 2023

However, if you use systems like DynamoDB, the transaction support falls under the application or the Data Access Layer. About Schemata Schemata is a schema modeling framework for decentralized domain-driven ownership of data. However, Event sourcing comes with a few major limitations.

Engineering 67

Engineering Data Transportation Database 67

AltexSoft

MARCH 2, 2023

Data quality involves storing data in its correct and consistent form. Here’s a deep dive into data quality management and tools. Data availability is responsible for making data accessible to appropriate personnel within the system. Why opt for data governance? Access and documentation.

Data Governance 52

Data Governance Government Healthcare Programming 52