Rockset

FEBRUARY 2, 2022

The benefit of these tools is that they’re built specifically for data analytics. They support joins and their column orientation allows you to quickly and effectively carry out aggregations. Data warehouses scale well and are well-suited to BI and advanced analytics use cases.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Hevo

APRIL 12, 2024

ETL processes often involve aggregating data from various sources into a data warehouse or data lake. Bucketing can be used during the transformation phase to aggregate data into predefined buckets or intervals. It plays a […]

Aggregated Data 40

Aggregated Data SQL Data Lake Data Warehouse 40

AltexSoft

OCTOBER 21, 2022

This enables systems using Kafka to aggregate data from many sources and to make it consistent. Instead of interfering with each other, Kafka consumers create groups and split data among themselves. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

ProjectPro

OCTOBER 28, 2015

Apache Sqoop (SQL-to-Hadoop) is a lifesaver for anyone who is experiencing difficulties in moving data from the data warehouse into the Hadoop environment. Apache Sqoop is an effective hadoop tool used for importing data from RDBMS’s like MySQL, Oracle, etc. into HBase, Hive or HDFS.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Ascend.io

SEPTEMBER 14, 2023

Use Case: Transforming monthly sales data to weekly averages import dask.dataframe as dd data = dd.read_csv('large_dataset.csv') mean_values = data.groupby('category').mean().compute() compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

Rockset

FEBRUARY 25, 2021

Your data systems will also need to take advantage of indexing in order to improve performance. Row Indexing Most standard databases, like Postgres, MySQL or SQL Server, store data in row formats. When you query in these databases, your response is an entire row of data.

SQL 40

SQL Data Pipeline Kafka Database 40

ProjectPro

AUGUST 24, 2021

Source Code: Visualize Daily Wikipedia Trends with Hive, Zeppelin, and Airflow (projectpro.io) 7) Data Aggregation Data Aggregation refers to collecting data from multiple sources and drawing insightful conclusions from it. to accumulate data over a given period for better analysis.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

DECEMBER 7, 2021

Talend Real-Time Project for ETL Process Automation This Talend big data project will teach you how to create an ETL pipeline in Talend Open Studio and automate file loading and processing. You must first create a connection to the MySQL database to use Talend to extract data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

SEPTEMBER 13, 2022

Further, data is king, and users want to be able to slice and dice aggregated data as needed to find insights. Users don't want to wait for data engineers to provision new indexes or build new ETL chains. They want unfettered access to the freshest data available.

SQL 52

SQL Database Relational Database NoSQL 52

ProjectPro

JULY 27, 2021

Non-relational databases are ideal if you need flexibility for storing the data since you cannot create documents without having a fixed schema. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Hadoop is a user-friendly open source framework.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Rockset

APRIL 15, 2022

The issue is how the downstream database stores updates and late-arriving data. Traditional transactional databases, such as Oracle or MySQL, were designed with the assumption that data would need to be continuously updated to maintain accuracy. That is called at-least-once semantics.

Analytics Application 52

Analytics Application Data Warehouse Kafka Database 52

ProjectPro

FEBRUARY 22, 2022

The project will guide you in performing data analysis with the help of group-by and exit command. It will also teach you about filtering aggregated data. Check fares before booking, and also check their bookings. Check the available trains, etc. You will also learn about the inline view and accumulating values in a single row.

Data Analysis 52

Data Analysis SQL Project Banking 52

ProjectPro

APRIL 20, 2017

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. Followed by MySQL is the Microsoft SQL Server. Transferring the data from MySQL to HDFS.

Hadoop 40

Hadoop Big Data Coding Project 40