Striim

AUGUST 31, 2023

Showing how Kappa unifies batch and streaming pipelines The development of Kappa architecture has revolutionized data processing by allowing users to quickly and cost-effectively reduce data integration costs.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 69

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. And COVID-19 made ‘zoom’ a synonym for a videoconference.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Workfall

JUNE 27, 2023

Commit Logs and Stream Processing: Kafka’s log-based storage and replayability make it ideal for stream processing use cases. Stay tuned to get all the updates about our upcoming blogs on the cloud and the latest technologies. How to orchestrate Queue-based Microservices with AWS Step Functions and Amazon SQS?

Kafka 75

Kafka Architecture AWS Transportation 75

Knowledge Hut

JUNE 30, 2023

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes. Key Benefits and Takeaways: Learn the core concepts of big data systems.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Rockset

MAY 17, 2022

The tradeoff of these first-generation SQL-based big data systems was that they boosted data processing throughput at the expense of higher query latency. GraphQL’s main analytics shortcoming is its lack of expressive power to join two disparate datasets based on the value of specific fields in those two datasets.

SQL 52

SQL NoSQL Hadoop MongoDB 52

ProjectPro

SEPTEMBER 6, 2021

Cloud Technology has risen in the latter half of the past decade. Amazon and Google are the big bulls in cloud technology, and the battle between AWS and GCP has been raging on for a while. The Google trends graph above shows how the two technologies have increased over the years, with AWS maintaining a significant margin over GCP.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

MAY 31, 2023

The IoT is a network of physical objects embedded with technology, such as sensors and software. The purpose of IoT is to connect as well as exchange the data within other available devices over the internet. Data processing of large volumes of data including real-time data processing, storage, and analysis.

Programming Language 52

Programming Language Electronics Java Programming 52

ProjectPro

MAY 20, 2015

According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016. Another research report by IDC predicts 27% compound annual growth rate for big data services and technologies by end of 2017 which equals 6 times the CAGR of the IT market as a whole.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

U-Next

AUGUST 26, 2022

R is available as an open language of programming for statistical computing and data analytics, and R often has a command-line API. The newest cutting-edge technology is the R programming language. This specific tool is frequently used for data processing, visualization, and polling.

R (Programming) 52

R (Programming) Programming Language Algorithm Programming 52

U-Next

AUGUST 11, 2022

Any business user may quickly resolve difficulties using current and skilled Business Intelligence (BI) technologies, even without intensive IT participation. They Do Away with Manual Processes: The technology automatically refreshes your KPI dashboard with current data. Zoho Analytics.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40

Striim

NOVEMBER 8, 2023

It enables data to be accessed, transferred, and used in various ways such as creating dashboards or running analytics. The Data Mesh architecture is based on four core principles: scalability, resilience, elasticity, and autonomy. What are the four principles of a Data Mesh, and what problems do they solve?

Architecture 52

Architecture Generalist Government Datasets 52

Rockset

FEBRUARY 24, 2023

It has expanded to various industries and applications, including IoT sensor data, financial data, web analytics, gaming behavioral data, and many more use cases. However, streaming data poses a unique challenge for analytics because it requires specialized technologies and approaches to achieve.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

ProjectPro

JANUARY 31, 2023

The Big data market was worth USD 162.6 Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. Hadoop MapReduce MapReduce is a distributed data processing framework.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Knowledge Hut

JULY 26, 2023

Cassandra specializes in handling high-volume, high-velocity, and high-reliability data, making it perfect for real-time data processing and fault tolerance applications. Apache Cassandra): Instead of the usual row-wise technique employed by relational databases, columnar databases store data in columns.

Database 52

Database NoSQL MongoDB Telecommunication 52

phData: Data Engineering

JULY 18, 2023

Yet, those that do achieve this level of maturity from their data stack are able to unlock breakthrough successes while leaving competitors years behind in innovation. Perhaps the largest roadblock of this data-driven utopia is the continued reliance on a patchwork of legacy, on-premise technologies like Teradata, Netezza, Oracle, etc.,

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

FEBRUARY 16, 2023

According to the 8,786 data professionals participating in Stack Overflow's survey, SQL is the most commonly-used language in data science. Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies.

Data Engineer 52

Data Engineer Data Engineering SQL Engineering 52

ProjectPro

FEBRUARY 11, 2021

Behind this technology are data science teams and machine learning engineers who have not only built smart data science projects but constantly maintain them to ensure these machine learning applications work flawlessly. With these Data Science Projects in Python , your career is bound to reach new heights.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52