Cloudera

MAY 30, 2024

One of the primary benefits of deploying AI and analytics within an open data lakehouse is the ability to centralize data from disparate sources into a single, cohesive repository. It provides flexibility in storing both raw and processed data, allowing organizations to adapt to changing data requirements and analytical needs.

Data Lake 71

Data Lake Data Warehouse Programming Language Data Ingestion 71

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. According to recent studies, the global database market will grow from USD 63.4

Database 52

Database SQL Process NoSQL 52

Ascend.io

DECEMBER 19, 2023

We’ll talk about when and why ETL becomes essential in your Snowflake journey and walk you through the process of choosing the right ETL tool. Our focus is to make your decision-making process smoother, helping you understand how to best integrate ETL into your data strategy. That’s what we call a data pipeline.

ETL Tools 52

ETL Tools IT Data Pipeline Data Warehouse 52

Monte Carlo

MAY 28, 2024

This involves connecting to multiple data sources, using extract, transform, load ( ETL ) processes to standardize the data, and using orchestration tools to manage the flow of data so that it’s continuously and reliably imported – and readily available for analysis and decision-making.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 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. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Knowledge Hut

APRIL 23, 2024

Data handling became tedious only after huge amounts of it started to accumulate. For example, in 1880, the US Census Bureau needed to handle the 1880 Census data. They realized that compiling this data and converting it into information would take over 10 years without an efficient system.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Knowledge Hut

JANUARY 29, 2024

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. At the same time, Cloud Computing allows the data to be easily analyzed by the data scientists. Storing data is generally done in the Cloud.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

Data Engineering Weekly

MARCH 8, 2023

Pathway is a Python framework for realtime data stream processing that handles updates for you. You can set up your processing pipeline, and Pathway will ingest the new streaming data points for you, sending you alerts in realtime. This portion of the data is called a window.

Process 52

Process Data Media Data Storage 52

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. Its implementation has primarily been hastened by reducing sequencing costs.

Metadata 84

Metadata Healthcare Medical Data Storage 84

Knowledge Hut

MAY 2, 2024

Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute. quintillion bytes of data are created every single day, and it’s only going to grow from there. As estimated by DOMO : Over 2.5

Scala 96

Scala Hadoop Datasets Java 96

Knowledge Hut

DECEMBER 28, 2023

Human society in 2023 is a digital world, and its fuel - its currency - is data. 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.

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

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. In this phase, data is collected from various sources.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Christophe Blefari

JANUARY 20, 2024

The idea is to create a living reference about Data Engineering. 📬 Subscribe to the excellent weekly newsletter 📬 A bit of context It's important to take a step back and to understand from where the data engineering is coming from. Data engineering inherits from years of data practices in US big companies.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

MAY 30, 2024

Natural Language Processing Techniques 2. Big Data Analytics in the Industrial Internet of Things 4. Digital Image Processing: 6. Data Mining 12. Edge computing, on the other hand, entails processing data close to the generation source, such as sensors and IoT devices. Computer Science Research Topics 1.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

U-Next

SEPTEMBER 22, 2022

It is ubiquitous today, offering many advantages in terms of flexibility, maintenance, sharing, and storage, among others. Cloud computing refers to a wide range of cloud computing services that are offered through the internet, including storage, databases, software, analytics, and other platforms. Features of Cloud Computing .

Cloud Computing 40

Cloud Computing Architecture Cloud IT 40

Knowledge Hut

NOVEMBER 18, 2023

The Azure Data Engineer Syllabus is a thorough guide that will provide you with the knowledge and information needed to become effective in Azure data engineering. The Azure Data Engineer Syllabus provides a systematic and in-depth approach to understand data engineering with Azure. How Long Does It Take to Get Certified?

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

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

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

Knowledge Hut

NOVEMBER 17, 2023

The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines. Additionally, they convert data into formats that can be used and store it effectively and securely in the Azure cloud. As a result, choosing to become a professional data engineer may be a good choice.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

APRIL 25, 2024

Information Technology is a field that manages and processes information for large-scale organizations or companies. Global companies incline towards using Information Technology to manage and innovate data according to their processes. There are tons of scopes that you can avail of via the help of information technology.

Technology 52

Technology Recruitment Media Cloud Computing 52

Monte Carlo

MAY 14, 2024

At its core, a table format is a sophisticated metadata layer that defines, organizes, and interprets multiple underlying data files. It was designed to support high-volume data exchange and compatibility across different system versions, which is essential for streaming architectures such as Apache Kafka.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Knowledge Hut

DECEMBER 21, 2023

Why Cloud Computing is Important for Data-driven Business? The Cloud computing is crucial for data-driven businesses because it provides scalable and cost-effective ways to store and process huge amounts of data. Cloud computing is a fast-growing area in the technical landscape due to its recent developments.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Knowledge Hut

APRIL 23, 2024

The world has been dealing with big data for a long time now, and we have come up with several ways to manage and employ it to benefit our industries, schools, governments, and defense systems. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. You can show prospective employers that you have what it takes to succeed as an Azure Data Engineer by emphasising your accomplishments and pertinent experience.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 19, 2023

As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

The Modern Data Company

MAY 10, 2023

In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. Consider whether you need a solution that supports one or multiple data formats. A more flexible solution like a data lake or lakehouse may be better.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Knowledge Hut

MARCH 14, 2024

For storing data, Microsoft Azure is a fantastic option. Users can view and access their files from anywhere with its cloud storage capabilities. Documents, images, and videos are among the several types of data stored with this service. What Is Microsoft Azure Cloud Architecture?

Architecture 52

Architecture Cloud Computing Utilities Machine Learning 52

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Monte Carlo

FEBRUARY 8, 2024

Sure, a modern data stack can simplify or automate many tasks, but understanding your tools’ capabilities and how they can best be utilized is what really unlocks cost savings and efficiency in your data pipeline. Regularly schedule deduplication processes to keep your data storage lean and efficient.

Data Pipeline 52

Data Pipeline AWS Datasets Data 52