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. Cloudera , focusing on Big Data analytics.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Precisely

MARCH 10, 2023

With the right geocoding technology, accurate and standardized address data is entirely possible. This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade.

Datasets 59

Datasets Data Warehouse Big Data Data Analytics 59

Rockset

MAY 17, 2022

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. Most analytical queries need this ability to join multiple data sources at query time. For complex analytical queries, SQL is unquestionably the best tool.

SQL 52

SQL NoSQL Hadoop MongoDB 52

ProjectPro

MAY 20, 2015

It is difficult to stay up-to-date with the latest developments in IT industry especially in a fast growing area like big data where new big data companies, products and services pop up daily. With the explosion of Big Data, Big data analytics companies are rising above the rest to dominate the market.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

Knowledge Hut

DECEMBER 26, 2023

Business intelligence (BI) is the collective name for a set of processes, systems, and technologies that turn raw data into knowledge that can be used to operate enterprises profitably. Business intelligence solutions comBIne technology and strategy for gathering, analyzing, and interpreting data from internal and external sources.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

ProjectPro

SEPTEMBER 9, 2016

Based on the maturity with big data, HCL helps its clients identify use cases to experiment with big data, create data lakes and deploy hadoop data management platforms to develop analytic applications. As of 18 th August, 2016, Glassdoor listed 9 hadoop job openings in US alone.

Hadoop 40

Hadoop Data Lake Big Data Cloud Computing 40

ProjectPro

MAY 23, 2015

It takes in approximately $36 million dollars from across 4300 US stores everyday.This article details into Walmart Big Data Analytical culture to understand how big data analytics is leveraged to improve Customer Emotional Intelligence Quotient and Employee Intelligence Quotient. How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Rockset

OCTOBER 26, 2023

In the lakehouse, data is processed and enriched following the medallion framework to create batch, near real-time and real-time features and predictions for the BlueML feature store. Rockset has a flexible schema and query model, making it possible to easily add new data or alter features and predictions.

Machine Learning 64

Machine Learning Data Science Architecture Database 64

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

Cloudera

APRIL 2, 2019

Cloudera and Intel have a long history of innovation, driving big data analytics and machine learning into the enterprise with unparalleled performance and security. Apache HBase® is one of many analytics applications that benefit from the capabilities of Intel Optane DC persistent memory.

NoSQL 48

NoSQL Google Cloud Hadoop Machine Learning 48

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. 3) Decentralized packages: We are all aware that there are several frameworks linked with technologies.

R (Programming) 52

R (Programming) Programming Language Algorithm Programming 52

Rockset

FEBRUARY 2, 2022

Let’s explore five ways to run MongoDB analytics, along with the pros and cons of each method. 1 – Query MongoDB Directly The first and most direct approach is to run your analytical queries directly against MongoDB. 3 – Use a Data Warehouse Next, you can replicate your data to a data warehouse.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

U-Next

SEPTEMBER 21, 2022

And while employing it is a fairly new technology, it already has a wide range of applications. This blog will look at the best contemporary applications of Artificial Intelligence in business. . Applications of AI in Business Operations . The best aspect is that technologies are getting inexpensive.

Insurance 40

Insurance Finance Transportation Machine Learning 40

AltexSoft

SEPTEMBER 23, 2021

We’ll also analyze some of the data hub products existing in the market to explore how this technology works and what it actually can do. What is Data Hub? A data hub is a central mediation point between various data sources and data consumers. When do you need a data hub? Cumulocity IoT DataHub.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 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 allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

U-Next

SEPTEMBER 29, 2022

During the forecast period, the global Workforce Analytics Market is expected to grow at a Compound Annual Growth Rate (CAGR) of 15.3% Enterprises are facing the immense challenge of analyzing HR data structure in real-time, driving a rapid increase in the demand for advanced analytical tools and analytics applications. .

IT 52

IT Recruitment Data Analysis Consulting 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

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. Business Intelligence (BI) Tools Suggestions.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40

ProjectPro

JULY 15, 2021

Cloud computing is the technology that provides on-demand computing resources or hosted services to the end-users over the networking channel, which is usually the Internet. These resources and services can include databases, software applications, networks, servers, and others. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Project Banking 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

DECEMBER 9, 2021

I’ve briefly explained how we’ve arrived at this moment for the modern real-time data stack, as well as some of the use cases that make real-time data so powerful. Real-time data streams typically power analytical or data applications whereas batch systems were built to power static dashboards.

Transportation 52

Transportation BI SQL Database 52

ProjectPro

APRIL 19, 2021

The report also projected that 96% of the organizations are likely to hire permanent analysts with the relevant skillsets to fill the future big data analytics job roles. Apart from over half-million available analytic jobs, data analytic jobs are projected to grow 21.5% over the next decade.

Portfolio 40

Portfolio Data Certification Data Analytics 40

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop Relational Database AWS 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

U-Next

AUGUST 26, 2022

Companies may use Data Analytics to evaluate their data (historic, genuine, unorganized, subjective), find connections, and provide insight that can guide and, in some circumstances, automate choices, bridging knowledge and actions. Data Analytics Illustration. Four Types of Data Analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

U-Next

SEPTEMBER 9, 2022

Understanding how to interpret and convey data is a crucial ability for business professionals that may help them make wise decisions. . . Big Data analytics is carried out with the use of sophisticated software. Businesses can do this to shorten the analytics process and make decisions more quickly.

Retail 40

Retail Big Data Data Analytics Utilities 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. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52