ThoughtSpot

OCTOBER 27, 2023

Every business that analyzes their operational (or transactional) data needs to build a custom data pipeline involving several batch or streaming jobs to extract transactional data from relational databases , transform it, and load it into the data warehouse. Click Create new from your Data workspace and select Custom SQL view.

Building 97

Building MySQL Data Warehouse SQL 97

Knowledge Hut

NOVEMBER 17, 2023

Amazon Web Services (AWS) delivers on-demand computing resources and facilities in the cloud. AWS offers a pay-as-you-go pricing package which is calculated hourly. These are some of the top products offered by AWS. AWS Lambda With AWS Lambda, you can run codes without having to manage different servers.

AWS 52

AWS Amazon Web Services PostgreSQL Relational Database 52

Marc Lamberti

NOVEMBER 23, 2022

What’s interesting is that if you look at your operations, you usually perform database operations such as joins, aggregates, filters, etc. But, instead of using a relational database management system (RDBMS), you use Pandas and Numpy. SQL Whether you like it or not, SQL is more alive than ever.

Datasets 130

Datasets Python SQL Database 130

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines.

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Knowledge Hut

MARCH 19, 2024

AWS is the gold standard of Cloud Computing and has some reasons for it. It offers more than 170 AWS services to the developers so they can use them from anywhere when required. AWS Applications provide many services, from storage to serverless computing, and can be tailored to meet diverse business requirements. What is AWS?

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Edureka

FEBRUARY 13, 2024

Introduction to AWS Services Amazon Web Services (AWS) gives a comprehensive suite of cloud offerings that empower businesses to construct, install, and scale programs. In this article, we’ll explore the top 10 maximum used AWS services, highlighting their importance inside the cloud computing landscape.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

U-Next

MARCH 1, 2023

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 warehouses are databases that integrate transaction data from disparate sources and make them available for analysis. What is AWS Kinesis?

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

Data Engineering Podcast

MAY 29, 2022

By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more.

Database 100

Database Architecture Data Architecture PostgreSQL 100

Cloudera

SEPTEMBER 9, 2021

AWS and Azure standards) reducing cost, complexity and ensuing risk mitigation in HA scenarios: . Savings opportunity on AWS. on a TB basis) of ~85-95% by moving from SSD EBS storage to mainly S3 Object Storage on AWS (similar savings would apply to IaaS CDH or HDP implementation on Azure. Cloud-Native Design Patterns.

Database 95

Database AWS Relational Database Cloud 95

Knowledge Hut

NOVEMBER 16, 2023

DBA – MySQL – SQL Server In this highly competitive as well as dynamic Software/IT industry, there is one course the one course, which is very popular and can give you a stable career, DBA. MongoDB Administrator MongoDB is a well-known NO-SQL database.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Data Engineering Podcast

AUGUST 19, 2018

After that, keep an eye on the AWS marketplace for a pre-packaged version of Quilt for Teams to deploy into your own environment and stop fighting with your data. After that, keep an eye on the AWS marketplace for a pre-packaged version of Quilt for Teams to deploy into your own environment and stop fighting with your data.

Database 100

Database PostgreSQL NoSQL Transportation 100

Snowflake

MARCH 29, 2023

Iceberg supports many catalog implementations: Hive, AWS Glue, Hadoop, Nessie, Dell ECS, any relational database via JDBC, REST, and now Snowflake. show() And you’re not limited to only SQL—you can also query using DataFrames with other languages like Python and Scala. How does the Snowflake Catalog SDK work?

Metadata 105

Metadata Scala Hadoop Relational Database 105

Knowledge Hut

SEPTEMBER 28, 2023

In today's tech landscape, one of the most highly regarded roles is that of an AWS Cloud Architect. Pursuing the appropriate AWS Cloud Architect certification unveils a captivating blend of science and artistry within this profession. The AWS Cloud Architect course encompasses a diverse spectrum of responsibilities.

AWS 52

AWS Cloud Computing Architecture Cloud 52

phData: Data Engineering

NOVEMBER 8, 2024

2021 - Iceberg and Delta Lake Gain Traction in the Industry Apache Iceberg, Hudi, and Delta Lake continued to mature with support from major cloud providers, including AWS, Google Cloud, and Azure. Delta Lake became popular for making data lakes more reliable and easy to manage. Amazon S3, Azure Data Lake, or Google Cloud Storage).

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. Table of Contents Table of Contents Azure vs. AWS - Which cloud is best?

AWS 45

AWS Cloud Amazon Web Services Big Data 45

Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Knowledge Hut

FEBRUARY 29, 2024

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. A database is a structured data collection that is stored and accessed electronically. Considering this information database model is fitted with data.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

ThoughtSpot

OCTOBER 27, 2023

Every business that analyzes their operational (or transactional) data needs to build a custom data pipeline involving several batch or streaming jobs to extract transactional data from relational databases , transform it, and load it into the data warehouse. Click Create new from your Data workspace and select Custom SQL view.

Building 69

Building MySQL Data Warehouse SQL 69

Cloudera

JUNE 16, 2022

Making the Lailas of the world successful: democratize streaming analytics with SQL. Laila wants to use CSP but doesn’t have time to brush up on her Java or learn Scala, but she knows SQL really well. . In 2021, SQL Stream Builder (SSB) was added to CSP to address the needs of Laila and many like her.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Rockset

SEPTEMBER 13, 2022

DynamoDB is a NoSQL database provided by AWS. It's a fully managed database, and it has growing popularity in both high-scale applications and in serverless applications. It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases.

SQL 52

SQL Database Relational Database NoSQL 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. To perform or supervise data modeling, data architects must have expertise at database administration and SQL development.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 26, 2023

This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. You can collect a lot of data formats using Python and can easily import SQL tables into your code. Data Engineers use the AWS platform to design the flow of data.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

Rockset

JANUARY 10, 2019

This post outlines how to use SQL for querying and joining raw data sets like nested JSON and CSV - for enabling fast, interactive data science. Data engineering transforms and normalizes high-cardinality, nested data into relational databases or into an output format that can then be loaded into data science notebooks to derive insights.

Data Science 40

Data Science SQL Relational Database Raw Data 40

Edureka

OCTOBER 15, 2024

AWS has come up with a cloud-native database service known as Amazon Aurora. Aurora combines the power and security of business databases. For those new to AWS, exploring AWS Training may help. For those new to AWS, exploring AWS Training may help. It can deepen your understanding of AWS services.

PostgreSQL 52

PostgreSQL MySQL AWS Relational Database 52

DareData

JANUARY 30, 2023

Learning SQL / NoSQL and how major orchestrators work will definitely narrow the gap between the quality model training and model deployment. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Examples of relational databases include MySQL or Microsoft SQL Server.

Data Engineer 52

Data Engineer Data Engineering NoSQL Engineering 52

Rockset

JUNE 7, 2022

Editor Databases are a key architectural component of many applications and services. Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Relational databases use tables and structured languages to store data.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

ProjectPro

AUGUST 9, 2018

Land your dream job with these AWS interview questions and answers suitable for multiple AWS Cloud computing roles starting from beginner to advanced levels. “I would like to become an AWS Solution Architect. Differentiate between on-demand instances and spot instances.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

Cloud Academy

JANUARY 27, 2022

Many of them are already familiar with SQL or have experience working with databases, whether they’re relational or non-relational. Get a basic understanding of SQL A second requirement is to have a basic understanding of SQL. These fundamentals will give you a solid foundation in data and datasets.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Workfall

MARCH 28, 2023

PostgreSQL PostgreSQL is a popular and powerful open-source, object-oriented relational database that competes with Oracle Database and Microsoft SQL Server in terms of enterprise-class features. For the AWS region, select any that you feel will be the better option in terms of geographical region and latency.

PostgreSQL 75

PostgreSQL Coding MySQL Database 75

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases. Columnar Database (e.g.-

Database 52

Database NoSQL MongoDB Telecommunication 52

Rockset

MARCH 15, 2022

The platform is based on container and serverless microservices and is mainly hosted on AWS, which provides developers with plug-and-play IoT integration so they can easily onboard and manage their devices. Trying to Fit a Square Peg into a Round Hole As an AWS shop, we naturally use Amazon DynamoDB as our main operational database.

NoSQL 52

NoSQL AWS SQL Database 52

Confluent

MAY 29, 2019

Building event streaming applications using KSQL is done with a series of SQL statements, as seen in this example. In this way, registration queries are more like regular data definition language (DDL) statements in traditional relational databases. Mapping streams and tables to a SQL script hierarchy. KSQL primer.

Kafka 96

Kafka Management Bytes SQL 96

Rockset

DECEMBER 31, 2022

The MLB uses a combination of AWS components to help process all this data. To streamline their business processes, Hess turned towards DynamoDB by shifting its E&P (Energy Exploration and Production) project onto AWS. Besides, the general data structures for analytics aren’t always well supported in key-value databases.

Non-relational Database 52

Non-relational Database Healthcare NoSQL Amazon Web Services 52

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. This database provides more flexible data storage and retrieval than typical relational databases. Is SQL Good for Big Data?

Big Data 52

Big Data Hadoop Relational Database AWS 52

Workfall

MARCH 21, 2023

It is highly available, scalable, and distributed, and it supports: SQL querying from client devices GraphQL ACID transactions WebSocket connections Both structured and unstructured data Graph querying Full-text indexing Geospatial querying Row permission-based access SurrealQL is an out-of-the-box SQL-style query language included with SurrealDB.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Hard Skills SQL, which includes memorizing a query and resolving optimized queries. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala.

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

phData: Data Engineering

SEPTEMBER 19, 2023

Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. There are tools designed specifically to analyze your data lake files, determine the schema, and allow for SQL statements to be run directly off this data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52