Rockset

JANUARY 28, 2022

However, Seesaw’s DynamoDB database stored the data in its own NoSQL format that made it easy to build applications, just not analytical ones. And the batch-oriented analytical tools that Seesaw was using, such as Amazon Athena, were not up to the task. Results, even for complex queries, would be returned in milliseconds.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Knowledge Hut

OCTOBER 3, 2023

Candidates must, however, be proficient in programming concepts and SQL syntax prior to starting the Azure certification training. With the help of Hive and Spark, learners will be able to integrate data and copy data using Microsoft Azure SQL Data Warehouse, Azure Data Factory, and Azure Stream Analytics, respectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Lyft Engineering

OCTOBER 3, 2023

It uses either raw SQL or our domain-specific language (DSL). Our DSL provides a fast, SQL-less short-hand for the most common queries. SQL Query: SELECT COUNT(*) as result FROM "hive" "core" "rider_events" WHERE ds = '2023–10–15' AND session_id IS null Result Set: result 2.00 Maximum Value: 0.00

Big Data 84

Big Data Metadata Data Warehouse Data 84

Edureka

FEBRUARY 7, 2023

It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. Data entry into PDW is optimized by Polybase, which also supports T-SQL. For data access, Synapse SQL, an enhanced version of TSQL, is used.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

AltexSoft

OCTOBER 30, 2021

Data engineers are programmers first and data specialists next, so they use their coding skills to develop, integrate, and manage tools supporting the data infrastructure: data warehouse, databases, ETL tools, and analytical systems. SQL is the main language for building databases so it’s widely used by data engineers.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Rockset

FEBRUARY 17, 2022

To solve this last mile problem and ensure your data models actually get used by business team members, you need to sync data directly to the tools your business team members use day-to-day, from CRMs like Salesforce to ad networks, email tools and more. SQL is our principal language for data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

SEPTEMBER 26, 2021

You must have good knowledge of the SQL and NoSQL database systems. SQL is the most popular database language used in a majority of organizations. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases. It will also assist you in building more effective data pipelines.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 7, 2016

Your Facebook profile data or news feed is something that keeps changing and there is need for a NoSQL database faster than the traditional RDBMS’s. HBase is a NoSQL database used for real-time data streaming whereas Hive is not ideally a database but a MapReduce based SQL engine that runs on top of hadoop.

Technology 40

Technology NoSQL Hadoop Data Mining 40

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. How Apache Kafka streams relate to Franz Kafka’s books.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

MARCH 26, 2024

Proficiency in database technologies such as SQL, NoSQL, and Big Data platforms. Develop integration architectures leveraging middleware platforms, APIs, ETL tools, and service-oriented architectures (SOA). Extensive experience in data architecture, database design, and data warehousing.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

AltexSoft

OCTOBER 8, 2021

They include NoSQL databases (e.g., MongoDB), SQL databases (e.g., Xplenty will serve companies that don’t have extensive data engineering expertise in-house and are in search of a mature easy-to-use ETL tool. Talend Open Studio: versatile open-source tool for innovative projects. Pre-built connectors. Ease of use.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JANUARY 19, 2022

Learning SQL is essential to comprehend the database and its structures. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. What is the most popular Azure Certification?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

OCTOBER 15, 2014

Makes use of exact variation of dedicated SQL DDL language by defining tables beforehand. Pig is SQL like but varies to a great extent. Directly leverages SQL and is easy to learn for database experts. On the other hand HIVE, QL is based around SQL, which makes it easier to learn for those who know SQL.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

JUNE 23, 2016

Sqoop is a SQL to Hadoop tool for efficiently importing data from a RDBMS like MySQL, Oracle, etc. Sqoop ETL: ETL is short for Export, Load, Transform. The purpose of ETL tools is to move data across different systems. Apache Sqoop is one such ETL tool provided in the Hadoop environment.

Hadoop 40

Hadoop MySQL Relational Database Java 40