Knowledge Hut

APRIL 26, 2024

Some of these similar skills include the ability to: Access and query (e.g., On the other hand, computer engineers are responsible for the design of data and the setting up of the necessary infrastructure. Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

JULY 24, 2023

In this article, we will explore the concept of data independence in relational databases and how it can benefit your organization by allowing you to work more effectively with your data while ensuring it always remains accessible and secure. What is Data Independence of DBMS? But why do we need data integrity in a DBMS?

Database Design 52

Database Design Relational Database Metadata Database 52

LinkedIn Engineering

JULY 19, 2023

What developers are asking for is a way to declaratively specify the table definitions and policies using an API such as SQL, and the lakehouse should take care of the rest. All accesses to table data must go through a table interface; no direct read/write is permitted to files or blobs on distributed storage for tabular data.

Big Data 78

Big Data Data Management Management Metadata 78

DoorDash Engineering

MARCH 21, 2023

Initial design optimizations and challenges Our initial design for the feature store sought to use the entity key and feature name as the primary key (shown in Figure 2). Figure 1: A simple breakdown of how a table would be stored on the cluster level. As a matter of fact, we are still using Redis for over 50% of our features today.

Machine Learning 132

Machine Learning AWS Database Utilities 132

ProjectPro

DECEMBER 17, 2021

are shifting towards NoSQL databases gradually as SQL-based databases are incapable of handling big-data requirements. NoSQL databases are designed to store unstructured data like graphs, documents, etc., NoSQL databases are designed to store unstructured data like graphs, documents, etc.,

Data Science 52

Data Science SQL NoSQL Programming Language 52

AltexSoft

JUNE 26, 2023

The ultimate goal of data integration is to gather all valuable information in one place, ensuring its integrity , quality, accessibility throughout the company, and readiness for BI, statistical data analysis, or machine learning. They can be accumulated in NoSQL databases like MongoDB or Cassandra. How systems exchange data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Data Engineering Podcast

MAY 6, 2019

In this episode Ryan Worl explains how it is architected, how to use it for your applications, and provides examples of system design patterns that can be built on top of it. If you need a foundation for your distributed systems, then FoundationDB is definitely worth a closer look.

Systems 100

Systems MongoDB NoSQL Database 100

Knowledge Hut

DECEMBER 26, 2023

Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Spark: The Definitive Guide: Big Data Processing Made Simple One of the best big data books, this comprehensive handbook produced by the creators of the open-source cluster-computing platform will teach you how to use, implement, and maintain Apache Spark.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

MAY 31, 2023

If you are aspirational in an IT career, one thing you definitely need is cloud skills. As you must have read, cloud computing is becoming increasingly prominent because of its ease of access, cost efficiency, and scalability. So, here’s a deep dive into the Cloud Computing syllabus and the skills you’ll need.

Cloud Computing 52

Cloud Computing Cloud Programming Language AWS 52

Knowledge Hut

APRIL 24, 2024

Coming to GraphQL, by definition - “GraphQL is an open-source data query and manipulation language for APIs, and a runtime for fulfilling queries with existing data”. The core building block of GraphQL is its schema which is used as a middle way between server and client while defining the accessibility of the data.

MongoDB 52

MongoDB Programming Language Database Programming 52

AltexSoft

JULY 29, 2022

Hadoop distributed file system or HDFS is a data storage technology designed to handle gigabytes to terabytes or even petabytes of data. A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Hadoop ecosystem evolvement.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Rockset

DECEMBER 21, 2023

There are four common workarounds to managing relationships in Elasticsearch: Application-side joins Data denormalization Nested field types and nested queries Parent-child relationships In this blog, we’ll discuss how you can design your data model to handle relationships using the nested field type and parent-child relationships.

Relational Database 52

Relational Database SQL NoSQL Database 52

Ascend.io

SEPTEMBER 14, 2023

As the field of data engineering evolves, the need for a versatile, performant, and easily accessible language becomes paramount. Plug-and-Play: Many of these libraries are designed to be integrated seamlessly , reducing development time and increasing compatibility across tasks. Statically typed, requiring type definition upfront.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

DECEMBER 26, 2023

These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data. Evaluating business needs and objectives The basic responsibility of a Data Engineer is to build algorithms and data pipelines so that everyone in the organization can have access to raw data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

SEPTEMBER 6, 2023

Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Certification exams are curated to thoroughly assess your understanding and practical abilities, in areas, like designing databases, managing them, ensuring security, and more.

Database 52

Database Certification MongoDB MySQL 52

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. In this case, the service provider creates a managed service that allows users to access these services on demand. For data access, Synapse SQL, an enhanced version of TSQL, is used.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Ascend.io

JANUARY 3, 2023

Fundamentally, we need an approach that holistically supports the infrastructure, technology, and processes to convert raw data into something valuable and accessible. This approach should improve the full data lifecycle, including knowing what data exists, where it is, how to access it, and how to understand it.

Data 52

Data Data Lake Business Intelligence Big Data 52

Grouparoo

OCTOBER 6, 2021

If so, find a way to abstract the silos to have one way to access it all. 93 When to Be Cautious About Sharing Data Maybe everyone shouldn't have access to data that requires expertise to interpret. What would that look like? Increase visibility. how fast are queries? how many concurrent queries can we handle?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Rockset

JUNE 8, 2023

Analytics on DynamoDB While NoSQL databases like DynamoDB generally have excellent scaling characteristics, they support only a limited set of operations that are focused on online transaction processing. DynamoDB is also not well-designed to index data in nested structures, including arrays and objects.

NoSQL 52

NoSQL AWS SQL Database 52

AltexSoft

OCTOBER 30, 2021

Data engineering itself is a process of creating mechanisms for accessing data. It’s a common conundrum, what you definitely don’t want to have is more scientists than engineers, because that would mean the former are doing the engineering work. ML models are designed by data scientists, but data engineers deploy those into production.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. While they might be more experienced than most data engineers, they need a solid understanding of systems design. The target is to gather, design, and then position it into models developed by them or found.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

AltexSoft

MARCH 14, 2023

Modern data stack tools are designed to integrate seamlessly with cloud data warehouses such as Redshift, Bigquery, and Snowflake, as well as data lakes or even the child of the first two — a data lakehouse. Designed to be modular. Built around a cloud data warehouse, data lake, or data lakehouse. Data democratization.

IT 59

IT Data Warehouse Data Governance Data Lake 59

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. Kafka is designed to handle numerous clients from both sides.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

AltexSoft

NOVEMBER 23, 2021

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Real-time access. Single point of failure.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. Structured (any data that can be stored, accessed and processed in a fixed format) Source - Guru99.com

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

FEBRUARY 16, 2023

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. For example, the data manipulation language (DML) and data definition language (DDL) allow engineers to collect and manipulate data scripts and design and modify data structures.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Rockset

AUGUST 12, 2019

DynamoDB is a fully managed NoSQL database provided by AWS that is optimized for point lookups and small range scans using a partition key. These properties make working with NoSQL data, like that from DynamoDB, straightforward. In Redis, the hash data structure is similar to a Python dictionary, Javascript Object, or Java HashMap.

NoSQL 40

NoSQL AWS SQL Datasets 40

ProjectPro

DECEMBER 10, 2021

Azure Cloud Services are hosted on virtual machines, and they let one have a higher degree of control over the VMs by allowing software installation on the VMs and also making them remotely accessible. A user only pays for the resources he needs from a cloud service provider and accesses them over a secure Internet connection.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

AUGUST 11, 2021

Data warehouses store highly transformed, structured data that is preprocessed and designed to serve a specific purpose. The RDBMS can either be directly accessed from the data warehouse layer or stored in data marts designed for specific enterprise departments. This layer should support both SQL and NoSQL queries.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Confluent

MAY 21, 2019

However, this bit of business logic really isn’t very relevant to the job of a service that provides simple access to the profile database, and it really shouldn’t be their responsibility. There are databases, document stores, data files, NoSQL and ETL processes involved. Real-world architectures involve more than just microservices.

Kafka 110

Kafka Insurance Architecture Database 110

ProjectPro

JUNE 30, 2016

This demand and supply gap has widened the big data and hadoop job market, creating a surging demand for big data skills like Hadoop, Spark, NoSQL, Data Mining, Machine Learning, etc. You are definitely going to find a few job listings with Hadoop as a necessary skillset. It’s raining jobs for Hadoop skills in India.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

Netflix Tech

DECEMBER 14, 2018

under varying load conditions as well as a wide variety of access patterns; (b) scalability?—?persisting data access semantics that guarantee repeatable data read behavior for client applications. data access semantics that guarantee repeatable data read behavior for client applications.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

JANUARY 19, 2022

We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. Making raw data more readable and accessible falls under the umbrella of a data engineer’s responsibilities. Data Engineering is gradually becoming a popular career option for young enthusiasts.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 6, 2023

Associate Certified Analytics Professional (aCAP) Introduction : The Associate Certified Analytics Professional (aCAP®) designation is for entry-level analytics professional who has the knowledge but no practical experience. 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

ProjectPro

JULY 27, 2021

Data warehouses are optimized to handle complex queries, which can access multiple rows across many tables. The design and understanding are simpler than the Snowflake schema, and the Star schema has low query complexity. The design and understanding are a little more complex. Data is regularly updated.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 29, 2016

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. Apache Hadoop, of course, is among the king of the big data throne in the analytics space and definitely deserves a place on the top of your to-learn list of big data skills.

Hadoop 40

Hadoop Big Data Banking Consulting 40