ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. Table of Contents HBase vs. Cassandra - What’s the Difference?

NoSQL 52

NoSQL Database Hadoop Big Data 52

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. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Rockset

MAY 17, 2022

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. Complex SQL queries have long been commonplace in business intelligence (BI). Hive implemented an SQL layer on Hadoop’s native MapReduce programming paradigm. As a result, the use cases remained firmly in batch mode.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Knowledge Hut

APRIL 25, 2024

Spark also supports SQL queries and machine learning algorithms. NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. HDFS, Cassandra, Hive).

Big Data 98

Big Data Technology NoSQL Hadoop 98

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. In today’s data-driven world, the future of SQL is entwined with the future of databases and becoming highly significant. How is SQL Being Utilized? billion in 2022 to $154.6

SQL 52

SQL Database Process NoSQL 52

Rockset

JANUARY 5, 2022

So I don’t fault you for resisting my message, which is that the SQL database that came of age in the 80s still has a critical role to play today in moving data-driven companies from batch to real-time analytics. In many tech circles, SQL databases remain synonymous with old-school on-premises databases like Oracle or DB2.

Database 52

Database SQL NoSQL Raw Data 52

Rockset

JULY 21, 2022

Squaring the (No)SQL circle We built Savvy using Google’s Firebase app development and hosting platform. All interactions are streamed in the form of semi-structured events into Firebase’s NoSQL cloud database, where the data, which includes a large number of nested objects and arrays, is ingested.

NoSQL 52

NoSQL IT MongoDB SQL 52

Data Engineering Podcast

JANUARY 21, 2024

For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

ProjectPro

DECEMBER 17, 2021

All this data is stored in a database that requires SQL-based queries for retrieval and transformations, making it essential for every data professional to learn SQL for data science and machine learning. Table of Contents Why SQL for Data Science? What is SQL? Why SQL for Data Science?

Data Science 52

Data Science SQL NoSQL Programming Language 52

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

ProjectPro

FEBRUARY 16, 2023

At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. Did you know SQL is the top skill listed in 73.4% Almost all major tech organizations use SQL. According to the 2022 developer survey by Stack Overflow , Python is surpassed by SQL in popularity.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Knowledge Hut

MARCH 20, 2024

Handling databases, both SQL and NoSQL. Databases and tools: AI engineers must be adept at working with different forms of data and know how to handle SQL and NoSQL databases. Data processing: AI engineers must be adept at working with databases (SQL and NoSQL) and diverse data types , like JSON files, TIFF, BMP, etc.

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52

Rockset

NOVEMBER 19, 2020

In this blog post, we show how Rockset’s Smart Schema feature lets developers use real-time SQL queries to extract meaningful insights from raw semi-structured data ingested without a predefined schema. In SQL-based systems, the data is strongly and statically typed. In NoSQL systems, data is strongly typed but dynamically so.

Structured Data 40

Structured Data SQL NoSQL Raw Data 40

Knowledge Hut

DECEMBER 21, 2023

Hive can run queries like SQL, known as HQL or Hive Query Language. Features: It uses queries that are similar to those of SQL. The SQL-like interface makes it easy to be used even by non-programmers. NoSQL databases can handle node failures. There are built-in functions used for data mining and other related works.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 52

Rockset

AUGUST 29, 2019

In this blog, we examine DynamoDB reporting and analytics, which can be challenging given the lack of SQL and the difficulty running analytical queries in DynamoDB. We will demonstrate how you can build an interactive dashboard with Tableau, using SQL on data from DynamoDB, in a series of easy steps, with no ETL involved.

NoSQL 40

NoSQL SQL Building Unstructured Data 40

Rockset

SEPTEMBER 13, 2022

DynamoDB is a NoSQL database provided by AWS. This is a common practice with SQL databases to avoid SQL injection attacks. Second, the SQL code is intermingled with our application code, and it can be difficult to track over time. For our previous query, we wrote our SQL query directly to the Rockset API.

SQL 52

SQL Database Relational Database AWS 52

KDnuggets

OCTOBER 4, 2022

Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

Database 157

Database NoSQL SQL 157

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

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

ProjectPro

MAY 13, 2015

Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification? The three next most common NoSQL variants are Couchbase, CouchDB and Redis.

NoSQL 40

NoSQL MongoDB Certification Database 40

Christophe Blefari

AUGUST 4, 2023

DuckDB vs. Spark, ElasticSearch and MongoDB — Even if this is not really relevant to compare it to NoSQL databases, tests are showing that DuckDB looks better. this list can become infinite) Conclusion After this design exercice I have mix feeling. This is in private beta and the move is interesting. Read Data Engineering Weekly.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

Rockset

APRIL 20, 2020

It is a NoSQL data store that is document-oriented, scalable, and schemaless by default. But this post is about highlighting some workarounds, in case you really want to do SQL-style joins in Elasticsearch. While joins are primarily an SQL concept, they are equally important in the NoSQL world as well.

SQL 40

SQL NoSQL Relational Database Database 40

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. Examples of relational databases include MySQL or Microsoft SQL Server. Examples of NoSQL databases include MongoDB or Cassandra. Stanford's Relational Databases and SQL.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Rockset

NOVEMBER 1, 2018

As Peter Bailis put it in his post , querying unstructured data using SQL is a painful process. Moreover, developers frequently prefer dynamic programming languages, so interacting with the strict type system of SQL is a barrier. We at Rockset have built the first schemaless SQL data platform. What's the Alternative?

SQL 40

SQL NoSQL Programming Language Bytes 40

KDnuggets

SEPTEMBER 8, 2023

Also learn the fundamentals of relational databases, NoSQL database categories, and more. Understand the relevance of databases in data science.

Database 101

Database Data Science NoSQL Relational Database 101

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

Rockset

MARCH 27, 2019

SQL databases do not fit the bill; they generally require that data adhere to a fixed schema that cannot be easily modified. Organizations will typically build hard-to-maintain ETL pipelines to feed data into their SQL systems. And, somewhat obviously, querying with standard SQL is not an option in the case of NoSQL systems.

Raw Data 40

Raw Data SQL NoSQL Datasets 40

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. A Major Pain Point However, this process of querying unstructured data using SQL in modern platforms remains painful.

Raw Data 40

Raw Data SQL Unstructured Data NoSQL 40

Christophe Blefari

OCTOBER 20, 2023

Tests are directly added in the SQL code at the column that is target. It's NoSQL database that is compliant with Apache Cassandra interfaces, and open-source. Schema are interpreted from the folder structure (with DuckDB). lea understand the views relationships, you don't need a ref. Jinja templating is still supported tho.

Generalist 130

Generalist Entertainment NoSQL Datasets 130

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

Knowledge Hut

JANUARY 18, 2024

SQL SQL is essential if you want to work with relational databases at any level of detail. SQL databases are structured differently than NoSQL databases - they store data in tables rather than documents or graphs - but they're still very useful when you want to structure your data in a way that makes sense for humans (and computers).

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

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

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. SQL databases, like MySQL and Postgres , are capable of fast updates and queries.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 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

Monte Carlo

JANUARY 5, 2024

It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52