Knowledge Hut

MARCH 20, 2024

Handling databases, both SQL and NoSQL. Working on cloud infrastructure like AWS and other data platforms like Databricks and Snowflake. Data modeling and engineering: AI engineers must clearly understand data structures, modeling, and engineering techniques.

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52

Knowledge Hut

DECEMBER 21, 2023

HIVE Hive is an open-source data warehousing Hadoop tool that helps manage huge dataset files. Hive can run queries like SQL, known as HQL or Hive Query Language. Features: It uses queries that are similar to those of SQL. There are built-in functions used for data mining and other related works. Hive has high latency.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

JULY 26, 2023

It also has strong querying capabilities, including a large number of operators and indexes that allow for quick data retrieval and analysis. Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

DECEMBER 26, 2023

Certain roles like Data Scientists require a good knowledge of coding compared to other roles. Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Rockset

NOVEMBER 1, 2018

Moreover, despite forecasts to the contrary, SQL remains the lingua franca of data processing; today's NoSQL and Big Data infrastructure platform usage often involves some form of SQL-based querying. Looking Forward The resulting opportunity for both application developers and data scientists is exciting.

Raw Data 40

Raw Data SQL Unstructured Data NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

MongoDB Certified Developer Associate Exam MongoDB is a NoSQL, document-based high-volume heterogeneous database system. Oracle MySQL Database Administration Training and Certification (CMDBA) It is another course offered by Oracle for SQL developers. Big Data is the term used to describe enormous volumes of data.

Certification 98

Certification Programming MongoDB R (Programming) 98

Grouparoo

DECEMBER 26, 2021

Relational Databases A relational database organizes data into tables that contain links between data elements that define their relationships. This allows quick access to information based on the connections between data elements. The relationships between each data element are the principal information of value for a business.

Database 52

Database NoSQL Relational Database Data Storage 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

APRIL 25, 2023

Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

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. Unstructured data has the potential to grow exponentially.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

NOVEMBER 19, 2023

Azure Data Engineer Tools encompass a set of services and tools within Microsoft Azure designed for data engineers to build, manage, and optimize data pipelines and analytics solutions. These tools help in various stages of data processing, storage, and analysis. Let’s read about them in the next section.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Ripple Engineering

JANUARY 29, 2024

Multiple data processing systems also make building detailed dashboards and monitoring very difficult. Ripple Data Consumers query the data from the lake storage using the SQL strategy. Why is it difficult to build a centralized platform?

Database-centric 52

Database-centric Pipeline-centric NoSQL High Quality Data 52

Knowledge Hut

MARCH 19, 2024

Lambda usage includes real-time data processing, communication with IoT devices, and execution of automated tasks. Subsystems popular databases like MySQL, PostgreSQL, and Microsoft SQL Server, eliminating manual database management tasks like hardware provisioning, patching, and backups.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

U-Next

AUGUST 17, 2022

Skills Required To Be A Data Engineer. SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities. NoSQL – This alternative kind of data storage and processing is gaining popularity.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

ProjectPro

JANUARY 24, 2023

With BigQuery, users can process and analyze petabytes of data in seconds and get insights from their data quickly and easily. Moreover, BigQuery offers a variety of features to help users quickly analyze and visualize their data. It provides powerful query capabilities for running SQL queries to access and analyze data.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

AltexSoft

MAY 14, 2021

There are also client layers where all data management activities happen. When data is in place, it needs to be converted into the most digestible forms to get actionable results on analytical queries. For that purpose, different data processing options exist. This, in turn, makes it possible to process data in parallel.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JANUARY 2, 2024

SQL Born in the early 1970s at IBM, SQL, or Structured Query Language, was designed to manage and retrieve data stored in relational databases. As data became the new oil, SQL solidified its importance. SQL's declarative nature makes complex data manipulations feasible with concise commands.

Programming Language 52

Programming Language Programming Java NoSQL 52

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

U-Next

AUGUST 8, 2022

The field of study known as Data Science focuses on extracting knowledge from massive volumes of data utilising numerous science techniques, programs, and procedures. It assists you in identifying underlying patterns in the original data. a Data Scientist manages large volumes of data to develop compelling business visions.

Data Science 52

Data Science Computer Science Deep Learning Java 52

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

AltexSoft

JULY 29, 2022

It relieves the MapReduce engine of scheduling tasks and decouples data processing from resource management. On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. Low speed and no real-time data processing.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Ascend.io

SEPTEMBER 14, 2023

PySpark, for instance, optimizes distributed data operations across clusters, ensuring faster data processing. Here’s how Python stacks up against SQL, Java, and Scala based on key factors: Feature Python SQL Java Scala Performance Offers good performance which can be enhanced using libraries like NumPy and Cython.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Edureka

FEBRUARY 7, 2023

Dynamic data masking serves several important functions in data security. It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. Users can change the level of masking to suit their needs.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 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 Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Knowledge Hut

APRIL 23, 2024

Unlike big data warehouse, big data focuses on processing and analyzing data in its raw and unstructured form. It employs technologies such as Apache Hadoop, Apache Spark, and NoSQL databases to handle the immense scale and complexity of big data. Technologies like Hadoop, Spark, Hive, Cassandra, etc.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

JANUARY 18, 2024

SQL (Structured Query Language) SQL is one of the world's most widely used programming languages. It is a declarative language for interacting with databases and allows you to create queries to extract information from your data sets. Obtaining Data Now and then, someone fills the form and gives away their data.

Programming Language 75

Programming Language Data Science Programming Scala 75

Edureka

MARCH 5, 2024

Data processing, business logic implementation, and server-side routing are some of the tasks that backend developers handle. Database Management : Designing, implementing, and managing databases to store and retrieve data effectively.

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Let's check some of the best big data analytics tools and free big data analytics tools.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

MARCH 13, 2024

Managing databases (both SQL and NoSQL), Implementing application architectures using Docker, Running and evaluating existing AI models, etc. Advanced data processing and feature engineering: to fine-tune the input data. Collaborate with product managers, software engineers, and data scientists.

Engineering 52

Engineering Programming Language Scala Algorithm 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

AltexSoft

SEPTEMBER 21, 2023

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. Fluentd is a data collector and a lighter-weight alternative to Logstash. What is Elasticsearch?

Engineering 52

Engineering NoSQL Programming Language Java 52