Rockset

DECEMBER 17, 2021

If you were one of the 15,000 people who attended Coalesce 2021 , you will likely remember SQL Draw, the Slack-based game combining SQL with cartesian geometry, art, creativity and teamwork. If you missed it, you can read more about SQL Draw on the Omnata website. Query Lambdas make it easy to create data APIs.

SQL 52

SQL NoSQL Database Design Metadata 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 Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

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 Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Rockset

MAY 10, 2022

DynamoDB is a popular NoSQL database available in AWS. However, DynamoDB, like many other NoSQL databases, is great for scalable data storage and single row retrieval but leaves a lot to be desired when it comes to analytics. With SQL databases, analysts can quickly join, group and search across historical data sets.

NoSQL 52

NoSQL AWS MongoDB Datasets 52

Rockset

SEPTEMBER 13, 2022

DynamoDB is a NoSQL database provided by AWS. In a real application, you should use something like Parameter Store or AWS Secrets Manager to store your secret and avoid environment variables. This is a common practice with SQL databases to avoid SQL injection attacks. While this can work, there is a better way.

SQL 52

SQL Database Relational Database AWS 52

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. NoSQL is an abbreviation for "Not Only SQL," and it refers to non-relational databases that provide flexible data formats, horizontal scaling, and high performance for certain use cases.

Database 52

Database NoSQL Telecommunication MongoDB 52

Rockset

JUNE 7, 2022

Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications. There are many NoSQL databases available in the market.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Rockset

OCTOBER 26, 2021

NoSQL Data Barrier The interactive dashboards include everything from basic KPIs such as Daily Active Users and Monthly Active Users (DAUs and MAUs), to advanced context interpretation for each individual patient’s progress. However, the challenge was serving Redash with SQL queries from data stored in our NoSQL database.

NoSQL 52

NoSQL Building Hospitality Education 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

ProjectPro

SEPTEMBER 6, 2021

AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Amazon and Google are the big bulls in cloud technology, and the battle between AWS and GCP has been raging on for a while. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

DECEMBER 26, 2023

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. A Data Analyst’s job heavily requires skills like Python, SQL, and R as they also require querying the data stores to calculate key metrics of the business.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Rockset

MARCH 21, 2019

We pushed the boundaries of the SQL type system to natively support dynamic typing , so that the need for ETL is eliminated in a large number of situations. This makes turning any type of data—from JSON, XML, Parquet, and CSV to even Excel files—into SQL tables a trivial pursuit.

SQL 52

SQL Data Management Management Engineering 52

DoorDash Engineering

MARCH 21, 2023

Upscaling using the native AWS ElastiCache consumed extra CPU, and that caused latencies to increase, resulting in an indeterminate amount of time required to complete a run. Sometimes restoring backups would fail due to a lack of AWS instance types so we would need to contact AWS support and try again. Using 63 m6i.8xlarge

Machine Learning 132

Machine Learning AWS Database Utilities 132

U-Next

AUGUST 17, 2022

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. The job description for Data Engineers may require them to eventually specialize in one or more SQL kinds (such as advanced modeling, big data, etc.).

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

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 Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial. What is AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Rockset

FEBRUARY 2, 2022

Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. Microsoft bundles PolyBase with SQL Server, and it can use MongoDB as an external data source. There are some big players here like Redshift from AWS, Snowflake, and Google BigQuery.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Ripple Engineering

JANUARY 29, 2024

The figure below depicts a simplified view of the Ripple Data Platform, built on Databricks, running on the AWS cloud. Ripple Data Consumers query the data from the lake storage using the SQL strategy.

Database-centric 52

Database-centric Pipeline-centric NoSQL High Quality Data 52

Knowledge Hut

APRIL 24, 2024

Azure, Google Cloud, and Amazon AWS are the most preferred cloud service providers. SQL, Oracle, and NoSQL are some tools that assist in that. Azure complements the Microsoft systems super well. With the help of.NET, you ensure a fast, functional, and scalable cloud application at hand.

NoSQL 59

NoSQL AWS Cloud Google Cloud 59

Cloudera

SEPTEMBER 1, 2022

It’s a cloud-native data service that is available on AWS, Azure, and GCP. First, COD provides both NoSQL and SQL approaches to querying data. For developers who prefer SQL, COD comes with Apache Phoenix, which provides familiarity of access with support for ANSI SQL.

Database 82

Database Cloud NoSQL SQL 82

Rockset

JANUARY 23, 2019

Have you ever wanted to run SQL queries on Amazon DynamoDB tables without impacting your production workloads? I will walk through steps on how to set up a live integration between Rockset and a DynamoDB table and run millisecond-latency SQL on it. from rockset import Client rs=Client(api_key=.)

SQL 40

SQL NoSQL AWS Datasets 40

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 Cloud Computing 45

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. 1) Currently available on AWS only. (2) That Was Then.

Cloud 94

Cloud Data Warehouse AWS Machine Learning 94

Rockset

DECEMBER 31, 2022

Since DynamoDB is a NoSQL data model, it handles less structured data more efficiently than a relational data model, which is why it’s easier to address query volumes and offers high performance queries for item storage in inconsistent schemas. The MLB uses a combination of AWS components to help process all this data.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 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

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. NoSQL, for example, may not be appropriate for message queues. When is it appropriate to use a NoSQL database? When working with large amounts of data, NoSQL databases are an excellent choice.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

MARCH 26, 2024

This provides opportunities for diverse and challenging projects, even for entry-level AWS solutions architect jobs. Check out the AWS Solution Architect Associate certification cost before applying. In-depth knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

AltexSoft

FEBRUARY 11, 2023

This specialist supervises data engineers’ work and thus, must be closely familiar with a wide range of data-related technologies like SQL/NoSQL databases, ETL/ELT tools, and so on. 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 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

SEPTEMBER 25, 2023

Every year, Azure's consumption graph increases and approaches that of AWS. Data Management and Storage: Microsoft Azure offers a variety of data storage options, including Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, and more. They are moving their servers and on-premises data to Azure Cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

MARCH 20, 2024

To work with a range of databases, you must learn SQL Scripts and be able to write SQL. To ensure that the data is reliable, consistent, and easily accessible, data engineers work with various data storage platforms, such as relational databases, NoSQL databases, and data warehouses.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Cloudera

FEBRUARY 26, 2021

Step 1: Create an environment on AWS or Azure. Apache HBase (NoSQL), Java, Maven: Read-Write. Apache Phoenix (SQL), Java, Dropwizard: Stock ticker. Apache Phoenix (SQL), Java, Maven: Read-Write. Apache Phoenix (SQL), Python: Read-Write. Apache Phoenix (SQL), C#,NET, ADO.NET. Step 2: Create a database.

Database 59

Database Java NoSQL Programming Language 59

Knowledge Hut

NOVEMBER 7, 2023

A virtual desktop infrastructure or (VDI) service for school management is offered by AWS Cloud by Amazon for Primary Education and K12. Amazon Web Services (AWS) Amazon Web Services or AWS is a subsidiary of Amazon. SQL, NoSQL, and Linux knowledge are required for database programming.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

NOVEMBER 19, 2023

Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms. It offers three distinct environments: SQL for Databricks, Databricks Machine Learning for data engineering, and data science. Please browse through them.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Knowledge Hut

NOVEMBER 28, 2023

SQL Today, more and more cloud-based systems add SQL-like interfaces that allow you to use SQL. Traditional data transformation tools are still relevant today, while next-generation Kafka, cloud-based tools, and SQL are on the rise for 2023. ETL is central to getting your data where you need it.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Rockset

APRIL 29, 2019

There is limited support for SQL analytics with some of these options. At Rockset, we recently added support for creating collections that pull data from Amazon DynamoDB - which basically means you can run fast SQL on DynamoDB tables without any ETL. DynamoDB, being a NoSQL store, imposes no fixed schema on the documents stored.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52