ProjectPro

SEPTEMBER 16, 2021

SQL is considered the industry-standard programming language for extracting data, analyzing data, performing complex analysis, and validating hypotheses. SQL is a highly desirable skill if you plan to become a data analyst or a data scientist. Distinguish between MongoDB and MySQL. Example: Select p1.col1,

SQL 52

SQL MySQL MongoDB Data 52

Knowledge Hut

SEPTEMBER 6, 2023

Oracle Certified Professional, MySQL 8.0 It is ideal for candidates who want to gain knowledge in MySQL database architecture and skills to install and configure MySQL databases. You can read here about best MySQL certification. Skills acquired : Install and configure MySQL client and server programs.

Certification 52

Certification Database MongoDB MySQL 52

Striim

JUNE 11, 2024

It is the quintessential solution for safeguarding FinServ transactions as it stands out by seamlessly integrating predictive analytics with real-time data processing. At the core of Striim’s effectiveness lies its utilization of advanced machine learning models, enabling real-time analysis of transactional data streams.

MongoDB 52

MongoDB MySQL Utilities Algorithm 52

ProjectPro

MARCH 19, 2015

Relational Databases – The fundamental concept behind databases, namely MySQL, Oracle Express Edition, and MS-SQL that uses SQL, is that they are all Relational Database Management Systems that make use of relations (generally referred to as tables) for storing data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

AltexSoft

MAY 12, 2023

A fixed schema means the structure and organization of the data are predetermined and consistent. It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Common formats include XML, JSON, and CSV.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

FEBRUARY 2, 2024

Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. Amazon Web Services (AWS) Databases such as MYSQL and Hadoop Programming languages, Linux web servers and APIs Application programming and Data security Networking.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

Knowledge Hut

DECEMBER 26, 2023

In other words, they develop, maintain, and test Big Data solutions. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. To become a Big Data Engineer, knowledge of Algorithms and Distributed Computing is also desirable.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

AltexSoft

OCTOBER 21, 2022

In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

ProjectPro

OCTOBER 28, 2015

The aim of selecting an ETL tool is to ensure that data is moving into Hadoop at a frequency that can meet the analytic requirements. Sqoop vs Flume-Comparison of the two Best Data Ingestion Tools Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization What is Sqoop in Hadoop?

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

AltexSoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Process 69

Process Data Lake Metadata Data Warehouse 69

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. She publishes a popular blog on Medium , featuring advice for data engineers and posts frequently on LinkedIn about coding and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

U-Next

AUGUST 11, 2022

Depending on the data modelling need, you may need to work with relational databases (like MYSQL, db2 or PostgreSQL) or NoSQL databases (like MongoDB). Tip: To interact with relational databases, you need to be familiar with querying and data manipulations (insert/ delete/ modify entries).

Data Science 40

Data Science Relational Database MongoDB PostgreSQL 40

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Structured data is modeled to be easily searchable and occupy minimal storage space.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 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

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Migration 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

SEPTEMBER 6, 2023

AWS Certified Data Analytics - Specialty exam (DAS-C01) Introduction : AWS Certified Data Analytics – Specialty is for experienced individuals. They should be able to use AWS services to design, build, secure, and maintain analytics solutions. You don’t need any degree or experience.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

AUGUST 24, 2021

So, working on a data warehousing project that helps you understand the building blocks of a data warehouse is likely to bring you more clarity and enhance your productivity as a data engineer. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

NOVEMBER 15, 2023

Example 4: Seeking an exceptional opportunity as a fresh data science graduate in a professional organization. Skills: Python , TensorFlow, MySQL , Analytics, Machine Learning, Strategic Planning, and Data Management. Example 5: Data Scientist looking for a demanding role having the highest degree of self-motivation.

Finance 98

Finance Certification Database-centric Business Intelligence 98

ProjectPro

DECEMBER 7, 2021

Even if you manually fetch data from different data sources and merge it into Excel sheets, you may be surrounded by complex data errors while performing analysis. It becomes more prominent, especially when you have to perform real-time data analytics since it is nearly impossible to clean and transform data in real-time.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 19, 2022

According to Indeed, the average salary of a data engineer in the US is $116,525 per year, and it is £40769 per year in the UK. The numbers are lucrative, and it is high time you start turning your dream of pursuing a data engineer career into reality.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

In other words, a Full Stack Developer is comfortable working with HTML, CSS, JavaScript, and PHP, as well as databases like MySQL. Additionally, they should have extensive knowledge of server-side technologies, such as Apache and NGINX, and database systems, such as MySQL and MongoDB.

Food 52

Food Programming Language Transportation Manufacturing 52

ProjectPro

JULY 23, 2021

For this real-time AWS project, you will leverage AWS tools such as Amazon Dynamo DB, Lambda, Aurora, MySQL, and Kinesis to put together optimum solutions for website monitoring. Then, with Amazon Kinesis, build data analytics streams for real-time data streaming. Github link- Hybrid Recommendation System 21.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

JULY 30, 2021

Big data analytics - Big data and Cloud technologies go hand in hand and essentially make systems faster, scalable, failsafe, high-performance, and cheaper. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 18.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Hevo

DECEMBER 26, 2023

Data is now considered to be one of the most valuable assets of any organization. Data is also a key decision-making tool as organizations are relying on evidence-based decision-making more than ever before. It makes transactions within a business easier and facilitates a smooth flow of operations.

Database 98

Database MongoDB Data MySQL 98

Knowledge Hut

DECEMBER 27, 2023

In a broad spectrum of cutting-edge technologies, such as Big Data, analytics, machine learning, IoT, mobile, cloud, UI/UX, and test automation, Encora offers differentiated innovation services and software engineering solutions. Database management: Understanding database management systems such as MySQL, MongoDB, and SQL Server.

Programming Language 52

Programming Language Consulting Healthcare Finance 52

ProjectPro

JULY 27, 2021

Also, you will find some interesting data engineer interview questions that have been asked in different companies (like Facebook, Amazon, Walmart, etc.) that leverage big data analytics and tools. Preparing for data engineer interviews makes even the bravest of us anxious. Hadoop is a user-friendly open source framework.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Christophe Blefari

FEBRUARY 23, 2024

Enabling near real-time data analytics on the data lake — Grab showcasing what they did with Flink and Hudi to enable real-time use-cases. Data Economy 💰 MariaDB takeover at $37m. Neurelo raises $5m seed to provide HTTP APIs on top of databases (PostgreSQL, MongoDB and MySQL).

Data Lake 130

Data Lake MongoDB PostgreSQL MySQL 130

U-Next

AUGUST 3, 2022

A Data Scientist is a person who combines computer science, analytics, and arithmetic. They gather and examine enormous amounts of structured and unstructured data. They investigate the outcomes of processing data, analytics, and modelling to offer suggestions for businesses and other groups. Data Scientist Skills.

Data Science 52

Data Science Retail Computer Science Data Mining 52

Rockset

APRIL 15, 2022

The issue is how the downstream database stores updates and late-arriving data. Traditional transactional databases, such as Oracle or MySQL, were designed with the assumption that data would need to be continuously updated to maintain accuracy. That is called at-least-once semantics.

Analytics Application 52

Analytics Application Data Warehouse Kafka Database 52