Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. You can execute this by learning data science with python and working on real projects.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Ascend.io

SEPTEMBER 14, 2023

Data-Centric Libraries: Python has purpose-built libraries like Pandas, NumPy, and Scikit-learn, tailored for data manipulation, analysis, and machine learning, streamlining data engineers’ workflows. Integration with Spark: When paired with platforms like Spark, Python’s performance is further amplified.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Key Benefits and Takeaways Big Data is laid out and includes explanatory case studies all through the content to demonstrate how the concepts have been used in practical situations in this big data book. Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Learn how Spark functions on a cluster.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

NOVEMBER 15, 2021

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Also, we’ll introduce you to the popular Big Data analytics tools and existing use cases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

APRIL 25, 2023

The practice requires them to use a mix of various programming languages, data warehouses, and tools. Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set.

Big Data 52

Big Data Certification Hadoop Scala 52