Knowledge Hut

APRIL 23, 2024

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. Big Data platforms also store data in a non-volatile manner.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

APRIL 25, 2023

Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. Develop data models, data governance policies, and data integration strategies. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! Let’s dive in! To solve these problems, we came up with Psyberg!

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Knowledge Hut

NOVEMBER 17, 2023

cloud Technical Skills for Azure Data Engineers Here I have listed the skills required for an Azure data engineer: 1. Programming and Scripting Languages Proficiency in languages like Python for data manipulation and SQL for database querying, enabling efficient data processing and analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

DareData

JULY 5, 2023

In this blog post, we aim to share practical insights and techniques based on our real-world experience in developing data lake infrastructures for our clients - let's start! Some of the most famous are: Apache Airflow: Apache Airflow is a powerful workflow orchestration tool widely used for ETL processes.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Databand.ai

JULY 5, 2023

They help organizations understand the dependencies between data sources, processes, and systems, enabling better data governance and impact analysis. They provide insights into the health of data integration processes, detect issues in real-time, and enable teams to optimize data flows.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Knowledge Hut

DECEMBER 28, 2023

Obtaining the Microsoft Data Engineer certification is a strategic move that can open doors to lucrative career opportunities. In this comprehensive guide, we will demystify the process of achieving the Azure Data Engineer certification. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

FreshBI

JANUARY 31, 2022

The objective of this blog Building reliable intelligence at the speed of business can be a challenging task. A well-designed data engineering strategy ensures that your analytics resources are spent on uncovering insights rather than laying foundations.

BI 52

BI Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 30, 2023

The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

There are over 1000 use cases for Kafka, including website activity tracking, event sourcing, real-time stream processing, log aggregation, etc. This blog explores some of the most innovative applications of Apache Kafka in different industries to help you understand what is Apache Kafka used for. What is Apache Kafka Used For?

Kafka 52

Kafka Banking Medical Healthcare 52

DataKitchen

NOVEMBER 10, 2023

Implement a communication protocol that swiftly informs stakeholders, allowing them to brace for or address the potential impacts of the data change. Building a Culture of Accountability: Encourage a culture where data integrity is everyone’s responsibility.

Data Solutions 54

Data Solutions Data Lake Data Database 54

DataKitchen

OCTOBER 20, 2023

The Challenge: High Stakes in the Age of Personalized Data Observability The primary challenge stems from the requirement of Data Consumers for personalized monitoring and alerts based on their unique data processing needs. Data Observability platforms often need to deliver this level of customization.

Insurance 67

Insurance Pharmaceutical Data Data Ingestion 67

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

DataKitchen

JANUARY 25, 2022

DataOps improves the robustness, transparency and efficiency of data workflows through automation. For example, DataOps can be used to automate data integration. Previously, the consulting team had been using a patchwork of ETL to consolidate data from disparate sources into a data lake.

Consulting 97

Consulting Recruitment Data Lake Data Engineering 97

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Sure, there’s a need to abstract the complexity of data processing, computation and storage.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Data Science Blog: Data Engineering

MARCH 5, 2021

Big data has been gradually creeping into a number of industries through the years, and it seems there are no exceptions when it comes to what type of business it plans to affect. Businesses, understandably, are scrambling to catch up to new technological developments and innovations in the areas of data processing, storage, and analytics.

Finance 52

Finance Big Data Banking Algorithm 52

Edureka

FEBRUARY 12, 2023

IPSec provides data confidentiality, data integrity, and data authenticity for IP communications. DNSSEC is a set of extensions to the Domain Name System (DNS) that provides origin authentication of DNS data, the integrity of the data, and protection against data tampering.

Amazon Web Services 52

Amazon Web Services Engineering Programming Language Google Cloud 52

Knowledge Hut

JUNE 20, 2023

In this blog post, we will introduce you to 10 current database research topic ideas that are likely to be at the forefront of the field in 2023. From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research.

Database 52

Database Java Education Data Collection 52

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Big data pipelines must be able to recognize and process data in various formats, including structured, unstructured, and semi-structured, due to the variety of big data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

DataKitchen

OCTOBER 2, 2023

This lack of control is exacerbated by many people and/or automated data ingestion processes introducing changes to the data. This creates a chaotic data landscape where accountability is elusive and data integrity is compromised.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

DataKitchen

APRIL 28, 2021

In Figure 1, the nodes could be sources of data, storage, internal/external applications, users – anything that accesses or relates to data. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery.

Data Pipeline 98

Data Pipeline Data Data Analytics Architecture 98

Cloudera

AUGUST 31, 2021

Case Study: Accenture’s Experience on Legacy Data Warehouse Migration into Cloudera with a Health Insurance Company . The program leveraged changed-data capture (CDC) components for mainframe and relational systems to capture source system updates in near real-time. Business Problem & Background. Value Achieved.

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

Edureka

FEBRUARY 18, 2023

BI can help organizations turn raw data into meaningful insights, enabling better decision-making, optimizing operations, enhancing customer experiences, and providing a strategic advantage. How BI Processes Data? This can be done through automated tools, manual entry, or data integration software.

Business Intelligence 52

Business Intelligence BI SQL Data Analysis 52

ProjectPro

FEBRUARY 16, 2023

of data engineer job postings on Indeed? If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. And how is it done? By using SQL queries!

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Striim

NOVEMBER 8, 2023

This allows for two-way integration so that information can flow from one system to another in real-time. Striim is a cloud-native Data Mesh platform that offers features such as automated data mapping, real-time data integration, streaming analytics, and more.

Architecture 52

Architecture Generalist Government Datasets 52

Knowledge Hut

OCTOBER 8, 2023

Data pipeline design - It's where you extract raw data from different data sources and export it for analysis. Data engineers must design efficient pipelines for easy transfer of data. Data integration - Data integration is when you combine data from multiple sources into a unified set.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

DECEMBER 18, 2018

IoT gateways provide not only end-point connectivity but also a degree of edge processing and analytics. Gateways handoff to integration hubs that offer two-way communication for device command and control as well as data integration to the third and final element: the data management and analytics platform.

Insurance 42

Insurance Manufacturing Architecture Machine Learning 42

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. Data Integration Data integration is the process of collecting, transforming, and consolidating data from various sources.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52