ProjectPro

JANUARY 24, 2023

Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Knowledge Hut

MARCH 26, 2024

Cloud Computing Adoption: As organizations migrate their infrastructure to the cloud, there's a high demand for Solutions Architects who can design cloud-native solutions and optimize cloud resources. Cloud solution architect jobs are highly available.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. How much data was generated in a minute in 2013 and 2022.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 21, 2023

Data Science is the world's most rapidly growing sector and data engineers are at the forefront. In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? What are the Data Engineer Career Opportunities?

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Data Engineering Podcast

FEBRUARY 11, 2018

Summary As communications between machines become more commonplace the need to store the generated data in a time-oriented manner increases. The market for timeseries data stores has many contenders, but they are not all built to solve the same problems or to scale in the same manner. What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

MARCH 20, 2024

Application programming interfaces (APIs) combine data and logging systems, caching systems, and other computer network systems so that the user interface functions properly. Combining databases and data sources into a single system. Builds and manages data processing, storage, and management systems.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Ascend.io

JUNE 22, 2023

Data-driven organizations are increasingly looking for ways to enable both centralized and distributed teams to build, share and collaborate on analytical data products. Ascend is thrilled to announce the availability of our newest feature: the ability to deliver data directly to the MotherDuck analytics platform!

NoSQL 52

NoSQL Google Cloud MySQL Data Pipeline 52

Knowledge Hut

MARCH 19, 2024

AWS is the gold standard of Cloud Computing and has some reasons for it. market share, while all of its rivals combined, Microsoft Azure (29.4%), Google Cloud (3.0%), and IBM (2.6%), do not even reach that percentage. That shows how much AWS has to offer, and you must know about it if you’re a cloud computing enthusiast.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

APRIL 24, 2024

FCL has an open-source user interface with easy data access and database connectivity. Important things to note and skills to master in C# are: Variables Conditionals Loops Fields and properties Data types Inheritance Objects LINQ Classes Methods Encapsulation Interfaces Polymorphism Being well versed with coding systems is also a plus.

NoSQL 59

NoSQL AWS Cloud Google Cloud 59

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. What does a data engineer do?

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. But cloud alone doesn’t solve all the problems. A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery.

Cloud 86

Cloud Banking Kafka NoSQL 86

Monte Carlo

NOVEMBER 20, 2023

Far from a mere “copy-paste” job, data migrations can be deceptively tricky and one of the most challenging aspects of a data engineer’s job. But as businesses pivot and technologies advance, data migrations are—regrettably—unavoidable. Table of Contents What makes data migrations complex? Set clear objectives.

MongoDB 52

MongoDB ETL Tools Database Data 52

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. What Is Big Data Analytics? Some important big data processing platforms are: Microsoft Azure.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JULY 3, 2023

In today's fast-paced and data-driven world, users increasingly depend on real-time intuition to get an aggressive side and define a plan of action. This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

MARCH 19, 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. So, let's discuss the AWS cloud migration case study and its importance in getting a better understanding of the topic in detail. What are AWS Case Studies, and Why are They Important?

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Edureka

MAY 6, 2024

In today’s data-driven world, machine learning models play a huge role in developing sectors like healthcare, finance, transport, e-commerce, and so on. It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end lifecycle of machine learning applications.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

JANUARY 22, 2024

In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Welcome to the world of data science.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

JUNE 16, 2023

In today's data-driven world, organizations are trying to find valuable insights from the vast sets of data available to them. That is where Data analytics comes into the picture - guiding organizations to make smarter decisions by utilizing statistical and computational methods. What is Data Analytics?

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

Obviously full stack developers are in demand right now because of huge demands of highly scalable data-intensive applications today. Visual Studio Code presents a highly optimized source-code editor for building and debugging modern web and cloud applications. Angular JS framework created by Google.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

Confluent

MAY 22, 2019

The explosive number of devices generating, tracking and sharing data across a variety of networks is overwhelming to most data management solutions. As IoT projects go from concepts to reality, one of the biggest challenges is how the data created by devices will flow through the system. trillion by 2024.

Kafka 95

Kafka Google Cloud NoSQL Entertainment 95

Rockset

MARCH 21, 2019

When we started Rockset, we envisioned building a powerful cloud data management system that was really easy to use. Making the data stack simpler is fundamental to making data usable by developers and data scientists. The data management should feel limitless.

SQL 52

SQL Data Management Management Engineering 52

Rockset

JANUARY 28, 2022

Wealth of Data, Little Observability Those metrics included the data generated by existing and new Seesaw users as they interacted with the service. Storing all of that data was not a problem. Seesaw was able to scale up its main database, an Amazon DynamoDB cloud-based service optimized for large datasets.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

ProjectPro

JUNE 17, 2015

3 out of 5 highest paid jobs require big data and cloud computing skills. For professionals aiming to earn biggest bucks in the fastest growing industry, they need to become big data experts. People who know how to handle, process and analyse big data can be assured to get the heaviest paychecks in 2015.Here

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

Knowledge Hut

DECEMBER 5, 2023

Integrity: Maintaining high ethical standards and ensuring the security and confidentiality of systems and data. Interactive Learning Platforms: Utilize interactive platforms like Codecademy for programming, Cisco's Networking Academy for networking, or AWS Training for cloud computing. SAN, NAS), Network equipment (e.g.,

Systems 52

Systems Engineering Recruitment Electronics 52

AltexSoft

SEPTEMBER 21, 2023

This endeavor would unwittingly plant the seeds for Elasticsearch, a technology that today drives data search and analytics for businesses around the globe. First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. What is Elasticsearch?

Engineering 52

Engineering NoSQL Programming Language Java 52

Knowledge Hut

FEBRUARY 16, 2023

Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

Rockset

APRIL 15, 2022

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. It’s probably because their analytics database lacks the features necessary to deliver data-driven decisions accurately in real time. Transmitting out-of-order data is not the issue.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. AWS - Which cloud is best?

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

Databand.ai

DECEMBER 29, 2022

The Top Data Strategy Influencers and Content Creators on LinkedIn Eitan Chazbani 2022-12-29 14:08:41 What’s the latest in the data world? When it comes to LinkedIn (and beyond) here are our recommendations for the top 25 data strategy influencers and content creators to keep tabs on. So who should you be following?

BI 52

BI Consulting Data Science Data Governance 52

Knowledge Hut

DECEMBER 26, 2023

The data that the web server may obtain an offer based on the user's individual request is stored in the MySQL database (a relational database management system). Examples of this type of data include bank statement archives, financial activities, picture files, and CSS stylesheets. These translated inputs are used by Express.js

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

Rockset

MAY 24, 2021

Serverless computing (often just called "serverless") is a model where a cloud provider, like AWS, abstracts away the concept of servers from the user. In this case, serverless databases can store data without needing to be tied to a specific server or VM. What Is Serverless?

Database 40

Database Google Cloud AWS Cloud Storage 40

AltexSoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What is a data mesh?

Architecture 52

Architecture Data Lake Medical Datasets 52