Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. But cloud alone doesn’t solve all the problems.

Cloud 89

Cloud Banking Kafka NoSQL 89

Knowledge Hut

JULY 26, 2023

It also has strong querying capabilities, including a large number of operators and indexes that allow for quick data retrieval and analysis. Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Data Storage and Backup Many computer engineers are continually attempting to improve the process of data backup. Previously, customers stored data on a collection of drives or tapes, which took hours to collect and move to the backup location.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

APRIL 23, 2024

Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis. It encompasses data from diverse sources such as social media, sensors, logs, and multimedia content. The data is processed and analyzed in a subject-oriented manner.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

APRIL 24, 2024

You can also consider the following—NET-related profiles on social media, especially Twitter. Not only that, mishandling data could affect your image as a developer. Hence, employers look for professionals who can handle, store and manage data. SQL, Oracle, and NoSQL are some tools that assist in that.

NoSQL 59

NoSQL Cloud AWS Google Cloud 59

Knowledge Hut

APRIL 24, 2024

cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, threshold(gray_image, 127, 255, cv2.THRESH_BINARY) THRESH_BINARY) contours, _ = cv2.findContours(thresh, findContours(thresh, cv2.RETR_TREE, RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) CHAIN_APPROX_SIMPLE) max_area = 0 max_cnt = None for cnt in contours: area = cv2.contourArea(cnt)

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. To discover study companions, you can sign up for online forums, message boards, and social media groups. As a result, they can work on a number of projects and use cases.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

JULY 24, 2023

One of the most significant trends in the future of databases is the rise of NoSQL databases, which offer more flexibility and scalability than traditional relational databases. However, SQL is still widely used and will continue to play a vital role in data management.

Database 52

Database SQL Process NoSQL 52

Knowledge Hut

JULY 3, 2023

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. This refers to Real-time data ingestion. These use cases show only fractional potential applications of real-time data ingestion.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

Knowledge Hut

MAY 31, 2023

From basic data retrieval to robust CRUD operations, Node.js Top Database Project Ideas Using MongoDB MongoDB is a popular NoSQL database management system that is widely used for web-based applications. Traditional RDBMS solutions struggle when dealing with non-uniformly shaped, multi-format digital data.

Database 52

Database Coding MongoDB Project 52

AltexSoft

NOVEMBER 10, 2021

Inability to handle unstructured data such as audio, video, text documents, and social media posts. The DW nature isn’t the best fit for complex data processing such as machine learning as warehouses normally store task-specific data, while machine learning and data science tasks thrive on the availability of all collected data.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Edureka

MARCH 5, 2024

So, being a full stack developer means being able to build a complete and user-friendly social media platform from start to finish. This Blog will cover the following Topics: What Is Full Stack Web Development? What Does a Full Stack Developer Do? What Does a Full Stack Developer Do?

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

IBM Big Data solutions include features such as data storage, data management, and data analysis. It also provides Big Data products, the most notable of which is Hadoop-based Elastic MapReduce. Data warehouses that work with Amazon Web Services include the DynamoDB Big Data database, Redshift, and NoSQL.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

JULY 24, 2023

For instance, let us say a company initially stores its data in a traditional relational database management system (RDBMS). Over time, the company decides to migrate its data to a more scalable and efficient NoSQL database system. With physical data independence, this transition can be achieved seamlessly.

Database Design 52

Database Design Relational Database Metadata Database 52

Knowledge Hut

NOVEMBER 2, 2023

Storage When looking for an HPC solution, you need to consider the storage options and cost. There are several flexible blocks, object, and file storage options in AWS services that allow permanent and transient data storage. It allows allocating storage volumes according to the size you need.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

AUGUST 26, 2015

The largest item on Claude Shannon’s list of items was the Library of Congress that measured 100 trillion bits of data. 1960 - Data warehousing became cheaper. 1996 - Digital data storage became cost effective than paper - according to R.J.T. Varian and Peter Lyman at UC Berkeley in computer storage terms.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

Knowledge Hut

APRIL 3, 2023

This includes handling data storage, user authentication, and server configuration. Below are some of the most important concepts/topics that one must learn: Databases Databases are collections of organized data stored on a computer system. What is Backend Development?

Programming Language 52

Programming Language Computer Science Portfolio Java 52

Knowledge Hut

SEPTEMBER 6, 2023

Once the data is tailored to your requirements, it then should be stored in a warehouse system, where it can be easily used by applying queries. Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle. Assessing your current knowledge - Analyze your current data science knowledge and abilities.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Confluent

SEPTEMBER 20, 2019

Confluent Cloud addresses elasticity with a pricing model that is usage based, in which the user pays only for the data that is actually streamed. If there is no traffic in any of the created clusters, then there are no charges (excluding data storage costs).

Kafka 21

Kafka Management Cloud AWS 21

Knowledge Hut

MARCH 27, 2024

MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner. Data analytics tools in big data includes a variety of tools that can be used to enhance the data analysis process.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Edureka

JANUARY 18, 2024

Spark’s efficiency gains in data science workflows, from data wrangling to advanced analytics, make it a crucial technology for real-time processing of big data. NoSQL Databases This blog provides an overview of NoSQL databases, including MongoDB, Cassandra, HBase, and Couchbase.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

ProjectPro

NOVEMBER 15, 2021

It was built from the ground up for interactive analytics and can scale to the size of Facebook while approaching the speed of commercial data warehouses. Presto allows you to query data stored in Hive, Cassandra, relational databases, and even bespoke data storage. CMAK is developed to help the Kafka community.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

AUGUST 11, 2021

It has to be built to support queries that can work with real-time, interactive and batch-formatted data. Insights from the system may be used to process the data in different ways. This layer should support both SQL and NoSQL queries. Even Excel sheets may be used for data analysis.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Rockset

SEPTEMBER 13, 2022

For a social media application, this would be creating posts, adding friends, or viewing the people you follow. DynamoDB is a NoSQL database provided by AWS. In thinking about data layout, we'll contrast two approaches: row-based vs. column-based. Row-based databases, like the name implies, arrange their data on disk in rows.

SQL 52

SQL Database Relational Database NoSQL 52

ProjectPro

SEPTEMBER 6, 2021

Features of GCP GCP offers services, including Machine learning analytics Application modernization Security Business Collaboration Productivity Management Cloud app development Data Storage, and management AWS - Amazon Web Services - An Overview Amazon Web Services is the largest cloud provider, developed and maintained by Amazon.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

AUGUST 21, 2015

Core components of a Hadoop application are- 1) Hadoop Common 2) HDFS 3) Hadoop MapReduce 4) YARN Data Access Components are - Pig and Hive Data Storage Component is - HBase Data Integration Components are - Apache Flume, Sqoop, Chukwa Data Management and Monitoring Components are - Ambari, Oozie and Zookeeper.

Hadoop 40

Hadoop Big Data Metadata Java 40

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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.

Database 52

Database NoSQL Management Relational Database 52

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

DECEMBER 26, 2023

Analyzing more data points will therefore give you a more detailed insight into your study. The spectrum of sources from which data is collected for the study in Data Science is broad. It comes from numerous sources ranging from surveys, social media platforms, e-commerce websites, browsing searches, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JULY 27, 2023

To ensure effective data processing and analytics for enterprises, work with data analysts, data scientists, and other stakeholders to optimize data storage and retrieval. Using the Hadoop framework, Hadoop developers create scalable, fault-tolerant Big Data applications. What do they do?

Hadoop 52

Hadoop Programming Language Banking Big Data 52

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

AltexSoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. Data sources component in a modern data stack. Data storage component in a modern data stack.

IT 59

IT Data Warehouse Data Governance Data Lake 59