ProjectPro

JULY 3, 2015

There are some tech buzzwords like SAP that have been more predominant than “Big Data” Companies can analyse structured big data in real time with in-memory technology. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. Over the years, big data has been defined in various ways and there is lots of confusion surrounding the terms big data and hadoop. What is Big Data Analytics?

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

Knowledge Hut

JANUARY 18, 2024

BI developers must use cloud-based platforms to design, prototype, and manage complex data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL. Roles and Responsibilities Write data collection and processing procedures.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Knowledge Hut

MAY 2, 2024

Why We Need Big Data Frameworks Big data is primarily defined by the volume of a data set. 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. Features of Spark 1.

Hadoop 96

Hadoop Scala Datasets Java 96

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

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

MAY 9, 2024

They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. They manage data storage and the ETL process. It may go as high as $211,000!

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

JANUARY 18, 2024

They also look into implementing methods that improve data readability and quality, along with developing and testing architectures that enable data extraction and transformation. Skills along the lines of Data Mining, Data Warehousing, Math and statistics, and Data Visualization tools that enable storytelling.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

NOVEMBER 28, 2023

Data Engineers are professionals who bridge the gap between the working capacity of software engineering and programming. They are people equipped with advanced analytical skills, robust programming skills, statistical knowledge, and a clear understanding of big data technologies.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Knowledge Hut

SEPTEMBER 6, 2023

They help organizations to derive insights and develop strategies for businesses using Big Data Technologies. Data Science Bootcamp course from KnowledgeHut will help you gain knowledge on different data engineering concepts. You will become accustomed to challenges that you will face in the industry.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Knowledge Hut

DECEMBER 26, 2023

It is a group of resources and services for turning data into usable knowledge and information. Descriptive analytics, performance benchmarking, process analysis, and data mining fall under the business intelligence (BI) umbrella. You will also need an ETL tool to transport data between each tier.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

DECEMBER 28, 2023

We'll go into the specifics of these projects, from social media analytics to healthcare data analysis, to see how they're using Hadoop to solve difficult data problems if you want to learn more about Hadoop and big data by exploring Big data training. Why Are Hadoop Projects So Important?

Hadoop 52

Hadoop Project Big Data Datasets 52

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend? Do you have enough data?

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

OCTOBER 6, 2021

These two uses en-US, en-GB, en-CA, en-IN, en-BE, en-SG, en-AU, id-ID locales for implementation Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro 5. Data Lake using Google Cloud Platform What is a Data Lake? Technologies like SQL are used on GCP.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Big Query Google’s cloud data warehouse. Flat File A type of database that stores data in a plain text format.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Knowledge Hut

NOVEMBER 28, 2023

This is good news for companies and business entities as this data will be extremely useful in decision-making and improving customer satisfaction. As a result, most companies are transforming into data-driven organizations harnessing the power of big data. Who is a Data Architect?

Data Architect 52

Data Architect Data Science Certification Big Data 52

ProjectPro

JUNE 9, 2021

Data Engineer vs Data Scientist: Which is better? FAQs on Data Engineer vs Data Scientist Data Engineer vs Data Scientist: Demand With the rising volume of data and the adoption of IoT and Big data technologies, data scientists and data engineers will be in high demand in practically every IT-based firm.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Science 52

Knowledge Hut

DECEMBER 21, 2023

The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner. Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language).

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

Edureka

FEBRUARY 27, 2023

The use of BI has become more widespread in recent years as businesses have become more data-driven. The proliferation of big data and the rise of data analytics platforms have made it easier for businesses to collect and analyze large amounts of data.

Business Intelligence 52

Business Intelligence BI Data Mining 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. All Data is not Big Data and might not require a Hadoop solution.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

DECEMBER 6, 2023

Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field. For all the big data and science data it is one of the most trending fields. Data Analyst Data Analysts act as a bridge between data science and business.

Engineering 52

Engineering Computer Science Programming Language Education 52

Knowledge Hut

NOVEMBER 17, 2023

As Azure Data Engineers, they'll be responsible for creating and looking after solutions that use data to help the company. They enhance data pipelines, transform data, and guarantee the accuracy, integrity, and compliance of the data.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

Knowledge Hut

MARCH 22, 2024

During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude. Role Importance Crucial for building robust and scalable applications that leverage MongoDB for data storage and retrieval. Let’s get started.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Knowledge Hut

FEBRUARY 7, 2023

Aside from that, users can also generate descriptive visualizations through graphs, and other SAS versions provide reporting on machine learning, data mining, time series, and so on.  Thus, SAS offers identical and equivalent capabilities to Python and R for performing all data science tasks for building large scale big data solutions.

Data Science 52

Data Science Datasets SQL Certification 52

ProjectPro

JULY 15, 2021

From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. For example, it is possible to work on research projects on cloud computing or implement cloud computing for big data projects.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

U-Next

AUGUST 11, 2022

Other skills this role requires are predictive analysis, data mining, mathematics, computation analysis, exploratory data analysis, deep learning systems, statistical tests, and statistical analysis. Big data computing frameworks like clouds and servers are utilized for data storage and accessibility.

Medical 52

Medical Computer Science Machine Learning Scala 52

Knowledge Hut

JULY 3, 2023

The output of real-time data ingestion allows for better customer relationships, better marketing strategies, and the development of more effective market capture strategies. Like IoT devices, sensors, social media platforms, financial data, etc.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

Knowledge Hut

DECEMBER 26, 2023

Big Data is an immense amount of data that is constantly growing exponentially. Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

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

AltexSoft

MAY 12, 2023

As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types. Unstructured data and big data Unstructured and big data are related concepts, but they aren’t the same. Data durability and availability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

MARCH 7, 2024

Introduction to Big Data Analytics Tools Big data analytics tools refer to a set of techniques and technologies used to collect, process, and analyze large data sets to uncover patterns, trends, and insights. Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Image Credit : hortonworks As per big data industry trends , the hype of Big Data had just begun in 2011.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Knowledge Hut

DECEMBER 13, 2023

The big data industry is growing rapidly. Based on the exploding interest in the competitive edge provided by Big Data analytics, the market for big data is expanding dramatically. Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52