Rockset

AUGUST 25, 2021

Instead, if you can “rollup” data as it is being generated, then you can define metrics that can be tracked in real time across a number of dimensions with better performance and lower cost. This greatly reduces both the amount of data stored and the compute for queries.

Aggregated Data 52

Aggregated Data Data Lake Hadoop SQL 52

ProjectPro

FEBRUARY 8, 2023

It offers a simple and efficient solution for data processing in organizations. It offers users a data integration tool that organizes data from many sources, formats it, and stores it in a single repository, such as data lakes, data warehouses, etc., where it can be used to facilitate business decisions.

AWS 98

AWS Scala Metadata Data Lake 98

AltexSoft

AUGUST 4, 2021

Since data marts provide analytical capabilities for a restricted area of a data warehouse, they offer isolated security and isolated performance. Data mart vs data warehouse vs data lake vs OLAP cube. Data lakes, data warehouses, and data marts are all data repositories of different sizes.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

Knowledge Hut

SEPTEMBER 27, 2023

Big Data support The SPICE engine in QuickSight was built to handle huge datasets, making it suited for big data scenarios. Its capacity to handle large amounts of data increases its flexibility in business settings. QuickSight's SPICE engine stores the aggregated data in memory, allowing very fast query response times.

BI 52

BI AWS Database-centric Data Lake 52

Cloudera

FEBRUARY 16, 2021

Integrated across the Enterprise Data Lifecycle . Cloudera Operational Database (COD) plays the crucial role of a data store in the enterprise data lifecycle. You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Warehouse to perform ETL operations.

Database 82

Database Machine Learning Data Lake Kafka 82

Rockset

AUGUST 30, 2021

Apache Kafka has made acquiring real-time data more mainstream, but only a small sliver are turning batch analytics, run nightly, into real-time analytical dashboards with alerts and automatic anomaly detection. The majority are still draining streaming data into a data lake or a warehouse and are doing batch analytics.

SQL 52

SQL Kafka MongoDB MySQL 52

ProjectPro

JANUARY 24, 2023

Programming Language.NET and Python Python and Scala AWS Glue vs. Azure Data Factory Pricing Glue prices are primarily based on data processing unit (DPU) hours. Both platforms are designed for data transformation and preparation. Both services are capable of cleaning, transforming, and aggregating data.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

AltexSoft

MARCH 14, 2023

Built around a cloud data warehouse, data lake, or data lakehouse. Modern data stack tools are designed to integrate seamlessly with cloud data warehouses such as Redshift, Bigquery, and Snowflake, as well as data lakes or even the child of the first two — a data lakehouse.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Ascend.io

NOVEMBER 21, 2023

The transformation is governed by predefined rules that dictate how the data should be altered to fit the requirements of the target data store. This process can encompass a wide range of activities, each aiming to enhance the data’s usability and relevance.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Monte Carlo

SEPTEMBER 1, 2023

Of course it almost goes without saying–Lakehouse Monitoring is great for monitoring the eponymous lakehouse, but most data teams use one or many of these modern data stack solutions. It is even common for organizations to use a data warehouse or transactional database alongside their lakehouse.

BI 52

BI Data Pipeline Data Data Lake 52

Ascend.io

MARCH 14, 2023

In this article, you’re going to learn the following: What a data mesh is Why it gained momentum The five core features of data mesh Why a company might consider building one Let’s dive in! What Is a Data Mesh? Now that you know a little more about data mesh architecture, let’s talk about why it’s picking up momentum.

Government 52

Government Architecture Data Lake Data 52

Ascend.io

MARCH 14, 2023

In this article, you’re going to learn the following: What a data mesh is Why it gained momentum The five core features of data mesh Why a company might consider building one Let’s dive in! What Is a Data Mesh? Now that you know a little more about data mesh architecture, let’s talk about why it’s picking up momentum.

Government 52

Government Architecture Data Lake Data 52

AltexSoft

DECEMBER 23, 2022

It is a data integration process with which you first extract raw information (in its original formats) from various sources and load it straight into a central repository such as a cloud data warehouse , a data lake , or a data lakehouse where you transform it into suitable formats for further analysis and reporting.

Process 52

Process Building Raw Data Data Lake 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 Engineering 52

Data Engineering Data Engineer Python Engineering 52

ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

AUGUST 26, 2022

Every predetermined time period, the agents would scan the applications for newly-entered or uploaded data -- everything from highly-compressed herd genetic data, to dimensional models. When a change is detected, the data is ingested into a data lake hosted on Amazon S3.

IT 52

IT Food Data Lake Aggregated Data 52

Edureka

FEBRUARY 6, 2023

To supervise real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties, familiarity with the computer coding languages python, java, Kafka, hive, or storm may be required. Collaborate with other Azure stack modules such as Azure Data Lakes , SQL DW , and so on.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. What is Data Lake? . Athena on AWS. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

ProjectPro

JULY 27, 2021

It is easy to query structured data and perform further analysis on it. It is difficult to query the required unstructured data. Relational databases and data warehouses contain structured data. Data lakes and non-relational databases can contain unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

JANUARY 26, 2022

Since not all information can be useful as is, analytics engineers need to apply various transformations to different data pieces to ensure they correspond to given tasks. The ELT paradigm allows for loading raw data right into a cloud warehouse, data lake , or lakehouse , so transformations can happen afterward.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

phData: Data Engineering

JANUARY 3, 2022

This likely requires you to aggregate data from your ERP system, your supply chain system, potentially third-party vendors, and data around your internal business structure. Once the data has been collected from each system, a data engineer can determine how to optimally join the data sets.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

NOVEMBER 15, 2021

It was built from the ground up for interactive analytics and can scale to the size of Facebook while approaching the speed of commercial data warehouses. Presto allows you to query data stored in Hive, Cassandra, relational databases, and even bespoke data storage. Refer to the Trino Open Source Repository Here: [link] 15.

Big Data 52

Big Data Project Metadata Programming Language 52

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 Engineering 52

Data Engineering Data Engineer Coding Project 52