Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Confluent

JUNE 18, 2019

As the databases professor at my university used to say, it depends. Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough.

Architecture 97

Architecture Building Kafka Database-centric 97

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Grouparoo

OCTOBER 6, 2021

42 Learn to Use a NoSQL Database, but Not like an RDBMS Write answers to questions in NoSQL databases for fast access 43 Let the Robots Enforce the Rules Work with people to standardize and use code to enforce rules 44 Listen to Your Users—but Not Too Much Create a data team vision and strategy. Increase visibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. Identifying customer segments based on purchase behavior in a sales database. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

François Nguyen

MARCH 22, 2021

To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance. You are starting to be an operation or technology centric data team.

Technology 130

Technology Architecture Google Cloud Metadata 130

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. There is a need for a database technology that can render 24/7 support to store, process and analyze this data. Table of Contents Can the conventional SQL scale up to these requirements?

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Cloudera

AUGUST 31, 2021

The client decided to migrate away from their relational database-centric Enterprise Data Warehouse as an ingestion and data processing platform after the maintenance costs, limited flexibility, and growth of the RDBMS platform became unsustainable with the increased complexity of the client’s data footprint.

Data Warehouse 81

Data Warehouse Database-centric Metadata Cloud 81

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

ProjectPro

JULY 13, 2015

billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. JPMorgan uses Hadoop to process massive amounts of data that includes information like emails, social mediaposts, phone calls and any other unstructured information that cannot be mined using conventional databases.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

SEPTEMBER 11, 2021

RUP is a procedure of software development that is “iterative, architecture-centric, and use-case driven” The RUP method involves listing requirements as use cases, which helps keep track of value to the lone business stakeholders for each piece of serviceability. What is a database cursor? What is the RUP method?

Business Analyst 52

Business Analyst Database-centric MySQL SQL 52

ProjectPro

JULY 30, 2021

Compared to Cloud computing, Mobile computing is more customer-centric. Use cases are in-memory caches and open-source databases. They get used in NoSQL databases like Redis, MongoDB, data warehousing. Aurora is the database engine that gives reliability and speed at par with industry-standard databases.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. Data engineers who focus on databases work with data warehouses and develop different table schemas.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98