Knowledge Hut

JULY 26, 2023

Database applications are software programs or systems that are designed to organize and efficiently store, handle, and retrieve vast amounts of data. A database application program is created to communicate with databases, which are structured repositories where data is stored in an organized fashion. Time Series Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. How Apache Kafka streams relate to Franz Kafka’s books.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

MAY 31, 2023

We'll discuss some of the top database project ideas on which you can hone your skills and gain valuable experience in database management systems, programming languages, and web development frameworks. Systems can be designed to monitor inventory levels, suppliers and purchases.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

OCTOBER 8, 2023

You must be proficient in NoSQL and SQL for data engineers to help with database management. Data pipeline design - It's where you extract raw data from different data sources and export it for analysis. Data engineers must design efficient pipelines for easy transfer of data. Python: Another high-level programming language.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. They should be able to use AWS services to design, build, secure, and maintain analytics solutions.

Big Data 52

Big Data Certification Hadoop Scala 52

Edureka

JANUARY 18, 2024

Explore real-world examples, emphasizing the importance of statistical thinking in designing experiments and drawing reliable conclusions from data. Programming A minimum of one programming language, such as Python, SQL, Scala, Java, or R, is required for the data science field.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

U-Next

AUGUST 11, 2022

Programming and logical reasoning. You should have a thorough knowledge of at least one programming language. Popular open source languages like Python and R for Data Science are easily accessible and involve a shorter learning curve. These powerful languages can be used for analysis, data manipulation and more. .

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

ProjectPro

JANUARY 19, 2022

Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. Good skills in computer programming languages like R, Python, Java, C++, etc. Here is a book recommendation : Python for Absolute Beginners by Michael Dawson. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

Certified Financial Planner  Another well-known professional title in the financial planning sector is the Certified Financial Planner designation (CFP). The Certified Financial Planner (CFP) designation, awarded by the Certified Financial Planner Board of Standards, Inc., is one of the most difficult financial counselling programmes.

Banking 52

Banking Insurance Finance Cloud Computing 52

Zalando Engineering

JUNE 21, 2016

Skills such as problem solving and critical thinking are all high on the wish list for prospective employers, but what about the nitty gritty of your preferred programming language? Java programming roles need to cover a lot of ground when it comes to knowledge and processes. Know your design patterns, but don’t over-engineer.

Java 40

Java NoSQL Programming Language Kafka 40

Databand.ai

DECEMBER 13, 2022

He has deep expertise in distributed systems, data engineering, API design, data integration from multiple sources, and machine learning. Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS).

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

AltexSoft

MARCH 14, 2023

Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — 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.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Rockset

SEPTEMBER 13, 2022

DynamoDB is a NoSQL database provided by AWS. DynamoDB is able to provide this consistent performance through two core design decisions. The second key design decision for DynamoDB is that the API heavily enforces the use of the primary key - more on this later. We'll use DynamoDB to handle these access patterns.

SQL 52

SQL Database Relational Database AWS 52

ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. and land them a top gig in their career.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer. How small file problems in streaming can be resolved using a NoSQL database.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

MAY 23, 2015

The data generated by Walmart every hour is equivalent to 167 times the books in America’s Library of Congress. During this program the candidates are required to spend some time with the different departments in the company to understand how big data analytics is being leveraged across the company.

Big Data 52

Big Data Data Analysis Hadoop Retail 52