phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake? What are Data Modeling Methodologies, and Why Are They Important for a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

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. It is utilized for all types of storage and processing needs.

Database 52

Database NoSQL Management Relational Database 52

RandomTrees

SEPTEMBER 17, 2024

Level III: Volumes, Tables, Views, Functions & Models Volumes: It is a Logical volume of unstructured, non-tabular data stored in cloud object storage. Tables: It is a collection of data organized by rows and columns and forming the core of structured data storage.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Function Variety Big Data encompasses diverse data types, including structured, unstructured, and semi-structured data. It involves handling data from various sources such as text documents, images, videos, social media posts, and more.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. Data warehousing offers several advantages. By structuring data in a predefined schema, data warehouses ensure data consistency and accuracy.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Edureka

JULY 4, 2024

Amazon EMR owns and maintains the heavy-lifting hardware that your analyses require, including data storage, EC2 compute instances for big jobs and process sizing, and virtual clusters of computing power. Let’s see what is AWS EMR, its features, benefits, and especially how it helps you unlock the power of your big data.

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Knowledge Hut

MARCH 28, 2024

Now you might be thinking about what a data structure is, well it is the specialized way of storing and arranging data in the computer’s memory, allowing for efficient retrieval, manipulation and utilization. Learning data structures is like understanding computer language.

Algorithm 52

Algorithm Java Utilities Software Engineering 52

Monte Carlo

AUGUST 25, 2023

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations. Why Use MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 87

Systems Hadoop Metadata Telecommunication 87

U-Next

AUGUST 26, 2022

Data Structure: What Is It? Data types from data administration, categorization, and warehousing are included in the data structure so that customers who utilize the information for their businesses can have adequate access. In the chapter below, a few key data structures have been covered.

Algorithm 40

Algorithm Data Utilities Data Science 40

Edureka

FEBRUARY 9, 2023

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Knowledge Hut

JANUARY 3, 2024

A linear data structure is one where data items are arranged in a linear fashion. The structure permits single-level data storage because the data elements are stored in a linear fashion. The data can be traversed in one run. A linear data structure does not maximize memory.

Data Storage 52

Data Storage Data Systems Data Science 52

Knowledge Hut

APRIL 25, 2024

Compute: Through the method of computing, or data processing, is an important aspect of Information Technology. It helps in storing the data in the CPU. Data Storage: The place where the information is stated somewhere safe without directly being processed. It is looked after by the Database Management System (DBMS).

Technology 52

Technology Recruitment Media Cloud Computing 52

Edureka

JULY 5, 2024

Data combining and reshaping: Supports operations like join, union, pivot, and split to integrate and structure data sources optimally for analysis in tools like Tableau Desktop. BigQuery), or another data storage solution. You can open existing flows for editing or connect to new data to create a fresh flow.

Data Preparation 40

Data Preparation Process BI ETL Tools 40

Snowflake

JULY 10, 2023

Historically, organizations have relied heavily on structured tables and semi-structured data like JSON and XML for analytical workloads and applications. “Our team worked on a use case where sensitive data was submitted in PDF format and manually converted into tabular data for analytics.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Edureka

JULY 16, 2024

Introduction Amazon Redshift, a cloud data warehouse service from Amazon Web Services (AWS), will directly query your structured and semi-structured data with SQL. A fast, secure, and cost-effective, petabyte-scale, managed cloud object storage platform. What is Unique About Redshift?

AWS 40

AWS Data Warehouse Amazon Web Services Business Intelligence 40

Rockset

SEPTEMBER 20, 2022

Other companies store all the smart contract data in one table and then use aggregation frameworks to simplify the data storage. Image Source Regardless of the approach, these companies typically expose the data to users by allowing them to write custom SQL queries.

PostgreSQL 52

PostgreSQL MongoDB SQL Database 52

AltexSoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

Edureka

JUNE 1, 2023

What is Data Analytics? Data analytics is the process of converting raw data into actionable insights. It encompasses a variety of tools, technologies, and procedures that utilize data to identify patterns and solve issues. Why is Data Analytics important?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Striim

AUGUST 22, 2024

This layer leverages data integration platforms like Striim to connect to various data sources, ingest streaming data, and deliver it to various targets. These platforms can handle and process large volumes of data while applying sophisticated business logic.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Edureka

JANUARY 18, 2024

Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms. Introduction of R as an optional language in data science, highlighting its strengths in statistics and visualization.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

Snowflake

MARCH 30, 2023

Snowflake can also ingest external tables from on-premise s data sources via S3-compliant data storage APIs. Batch/file-based data is modeled into the raw vault table structures as the hub, link, and satellite tables illustrated at the beginning of this post. Enter Snowpark !

Engineering 84

Engineering Raw Data Data Science Machine Learning 84

Knowledge Hut

MAY 31, 2023

Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports. Companies utilize different approaches to deal with data in order to extract information from structured, semi-structured, or unstructured data sets.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

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). The framework itself is extensible to run custom jobs.

Big Data 78

Big Data Data Management Management Metadata 78

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

AltexSoft

JUNE 7, 2021

Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. Data storage options. Data management and monitoring options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Monte Carlo

JANUARY 25, 2023

In this article, we’ll take a closer look at the data storage level of the data stack to determine when to invest in storage and compute tooling, what “build versus buy” really means when it comes to storage and compute, and how our five considerations might impact your decision. Let’s jump in!

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JANUARY 25, 2022

Yahoo utilizes Apache Spark's Machine Learning capabilities to customize its news, web pages, and advertising. PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark. With PySparkSQL, we can also use SQL queries to perform data extraction.

Big Data 52

Big Data Data Process Process Kafka 52

Silectis

JANUARY 3, 2021

Data lakes allow for more flexibility than a more rigid data warehouse. Data Lineage Data lineage describes the origin and changes to data over time Data Management Data management is the practice of collecting, maintaining, and utilizing data securely and effectively.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JANUARY 24, 2023

Furthermore, BigQuery supports machine learning and artificial intelligence, allowing users to use machine learning models to analyze their data. BigQuery Storage BigQuery leverages a columnar storage format to efficiently store and query large amounts of data. Q: Which two services does BigQuery provide?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Edureka

FEBRUARY 7, 2023

The main advantage of Azure Files over Azure Blobs is that it allows for folder-based data organisation and is SMB compliant, allowing for use as a file share. Storage for Azure VMs is provided by Azure Disks (Virtual Machines). 13) Examine the capabilities of Azure storage explorer. 15) What is Azure table storage, exactly?

Data Engineer 52

Data Engineer Data Engineering Engineering Hadoop 52

Knowledge Hut

JANUARY 18, 2024

4 Purpose Utilize the derived findings and insights to make informed decisions The purpose of AI is to provide software capable enough to reason on the input provided and explain the output 5 Types of Data Different types of data can be used as input for the Data Science lifecycle.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

JANUARY 31, 2022

Snowflake uses a central data repository accessible from all compute nodes in the platform, like shared-disk systems. Snowflake, however, utilizes MPP (massively parallel processing) compute clusters to perform queries. Each node in the cluster keeps a piece of the entire data set locally, like shared-nothing systems.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52