Knowledge Hut

APRIL 23, 2024

The history of big data takes people on an astonishing journey of big data evolution, tracing the timeline of big data. The Emergence of Data Storage and Processing Technologies A data storage facility first appeared in the form of punch cards, developed by Basile Bouchon to facilitate pattern printing on textiles in looms.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Knowledge Hut

MARCH 27, 2024

Scales efficiently for specific operations within algorithms but may face challenges with large-scale data storage. Database vs Data Structure If you are thinking about how to differentiate database and data structure, let me explain the difference between the two in detail on the parameters mentioned above in the table.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Knowledge Hut

APRIL 25, 2024

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

Big Data 87

Big Data Technology NoSQL Hadoop 87

Knowledge Hut

JANUARY 18, 2024

Data Warehousing Professionals Within the framework of a project, data warehousing specialists are responsible for developing data management processes across a company. Furthermore, they construct software applications and computer programs for accomplishing data storage and management.

Data Science 73

Data Science Business Analyst ETL Method Data Architect 73

Knowledge Hut

DECEMBER 28, 2023

Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Its comprehensive suite of services can handle data at scale. It makes us a versatile data professional.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Cloudera

NOVEMBER 1, 2023

The use of Pinecone’s technology with Cloudera creates an ecosystem that facilitates the creation and deployment of robust, scalable, real-time AI applications fueled by an organization’s unique high-value data.

Machine Learning 105

Machine Learning Data Ingestion Database Utilities 105

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Cloudera

APRIL 22, 2022

The focus has also been hugely centred on compute rather than data storage and analysis. In reality, enterprises need their data and compute to occur in multiple locations, and to be used across multiple time frames — from real time closed-loop actions, to analysis of long-term archived data. Location-specific data.

Data Solutions 134

Data Solutions Amazon Web Services Data Storage Google Cloud 134

Knowledge Hut

MARCH 13, 2024

The big data engineer then analyzes this data using unique algorithms and data models to gain valuable insights. What Does A Big Data Engineer Do? Roles and Responsibilities] What does a big data engineer do? A big data engineer is crucial to any company’s data management team.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

The big data engineer then analyzes this data using unique algorithms and data models to gain valuable insights. What Does A Big Data Engineer Do? Roles and Responsibilities] What does a big data engineer do? A big data engineer is crucial to any company’s data management team.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 25, 2023

You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company. Azure Data Engineers work with these and other solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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? They provide a framework for organizing and representing data elements, attributes, and relationships.

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.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. This is where you should use pre-commit and SQLFluff.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Towards Data Science

DECEMBER 15, 2023

Institutional Considerations While I am on this topic of data management, I should mention—I recently started a new role! I am the first senior machine learning engineer at DataGrail, a company that provides a suite of B2B services helping companies secure and manage their customer data. How Much Data Do We Need?

Machine Learning 93

Machine Learning Data Science Data Security Data Storage 93

Data Engineering Podcast

AUGUST 14, 2021

He discusses the inefficiencies that teams run into from having to reprocess data multiple times, his work on the open source Hub library to solve this problem for everyone, and his thoughts on the vast potential that exists for using computer vision to solve hard and meaningful problems. What do you have planned for the future of Activeloop?

Unstructured Data 100

Unstructured Data Machine Learning Data Lake BI 100

Knowledge Hut

DECEMBER 21, 2023

Few benefits of Cloud computing are listed below: Scalability: With Cloud computing we get scalable applications which suits for large scale production systems for Businesses which store and process large sets of data. The algorithm proposed includes three main components: Data Processing, Data Storage, and Data Retrieval.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Knowledge Hut

NOVEMBER 17, 2023

The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor. Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Data Engineering Weekly

MARCH 24, 2024

Mercado Libre writes about its adoption of Data Mesh, which, necessitated by the company's rapid growth and diverse ecosystem, decentralizes data production across domains, leveraging cultural shifts and technological advancements for independent data management.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Databand.ai

MAY 30, 2023

High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies. Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Data Engineering Podcast

JUNE 10, 2018

Summary With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages.

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

Knowledge Hut

APRIL 23, 2024

Complexity Complexity is governed not just by data size but also by variety, type, speed, processing challenges, and retrieval methods. The more complex your data, the higher the chances of data processing inefficiency. Hence, legal risks might come from both internal and external sources.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

JANUARY 9, 2024

Thus, a company’s storage solutions should be innovative enough to handle such challenges. Apart from this, there should be adequate measures to safeguard this data from breaches and cyber-attacks. Microsoft Azure allows data storage in several forms, like structured and unstructured data, files, objects, etc.

Cloud Computing 52

Cloud Computing Computer Science Certification Unstructured Data 52

Data Engineering Podcast

DECEMBER 31, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out Linode. What is in store for the future of Pravega?

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

Knowledge Hut

OCTOBER 12, 2023

Cloud architecture Development: Following acceptance, the architect is entrusted with designing the architecture, which includes developing applications, data management, and access and identity management. Fundamentals of Data Storage Another skill through the cloud architect road map is a basic understanding of data storage.

Cloud 52

Cloud Cloud Computing AWS Certification 52

Knowledge Hut

JUNE 15, 2023

That is why every organization works towards designing and building structures for proper data storage and analysis. This process of data management is called data engineering. Companies hire experts who are well-versed in data engineering best practices and keep their data management sorted with their help.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Data Engineering Podcast

JANUARY 13, 2020

This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth. YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance. A growing trend in database engines (e.g.

SQL 100

SQL PostgreSQL MongoDB Database Design 100

Knowledge Hut

JANUARY 18, 2024

IBM is one of the best companies to work for in Data Science. The platform allows not only data storage but also deep data processing by making use of Apache Hadoop. The CDP private cloud is a scalable data storage solution that can handle analytical and machine learning workloads.

Data Science 76

Data Science Amazon Web Services Finance Big Data 76

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

APRIL 23, 2024

Small Data is well-suited for focused decision-making, where specific insights drive actions. Big Data vs Small Data: Storage and Cost Big Data: Managing and storing Big Data requires specialized storage systems capable of handling large volumes of data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Data Engineering Weekly

JUNE 12, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The architecture resembles any typical modern data catalog with search and integration features.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

Precisely

MARCH 23, 2023

The Data Integrity Capabilities You Need for ESG Reporting Now that we’ve covered why you need to have clear, accurate, and readily accessible data to show the progress of your ESG efforts, let’s walk through a snapshot of what that means for your data management capabilities.

Data Integration 52

Data Integration Government High Quality Data Data 52

Cloudera

NOVEMBER 16, 2022

There is a clear consensus that data teams should express their goals and results in business value terms and not in technical, tactical descriptions, such as “improving data engineering” and “better master data management.” . Or play defense — manage risk for the organization?

Insurance 78

Insurance Retail Healthcare Data 78

Cloudera

FEBRUARY 8, 2021

Adding more wires and throwing more compute hardware to the problem is simply not viable considering the cost and complexities of today’s connected cars or the additional demands designed into electric cars (like battery management systems and eco-trip planning).

Manufacturing 107

Manufacturing Machine Learning Data Ingestion Electronics 107