Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

Architecture 52

Architecture Database-centric Process BI 52

Cloudera

NOVEMBER 2, 2020

It has the key elements of fast ingest, fast storage, and immediate querying for BI purposes. These include stream processing/analytics, batch processing, tiered storage (i.e. In addition to understanding the attributes of an RTDW, it is useful to look at the types of applications that can be built within the RTDW category.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

ProjectPro

JUNE 6, 2025

AWS QuickSight Data engineers can generate data visualization and dashboard using Amazon QuickSight, a fully managed cloud-scale business intelligence tool driven by machine learning. It is an alternative to business intelligence and data visualization tools like Microsoft's Power BI and Tableau.

AWS 40

AWS Data Engineer Data Engineering Engineering 40

Cloudera

FEBRUARY 8, 2024

Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Such a query pattern is quite common in BI queries. Note that the materialized view definition contains the ‘stored by iceberg’ clause.

Metadata 91

Metadata Data Warehouse BI AWS 91

Rockset

FEBRUARY 2, 2022

Let’s explore five ways to run MongoDB analytics, along with the pros and cons of each method. 1 – Query MongoDB Directly The first and most direct approach is to run your analytical queries directly against MongoDB. There are quite a few of these on the market, with each trying to enable business intelligence (BI) on MongoDB.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

U-Next

AUGUST 23, 2022

Tableau serves as a visual framework for business intelligence and analytics, assisting users in watching, observing, comprehending, and making choices with various data types. A rapidly expanding data visualization tool called Tableau Software is creating a stir within Business Intelligence (BI) sector.

BI 52

BI Amazon Web Services Database Business Intelligence 52

Knowledge Hut

JUNE 16, 2023

Business Intelligence Analyst A Business Intelligence analyst is involved in helping organizations to make data-driven decisions by analyzing and interpreting complex data sets. are regularly hiring Business Intelligence analysts. are the ones who hire Data scientists regularly.

Data Analytics 52

Data Analytics Business Analyst Consulting Business Intelligence 52

Cloudera

JUNE 16, 2022

This blog aims to answer two questions as illustrated in the diagram below: How have stream processing requirements and use cases evolved as more organizations shift to “streaming first” architectures and attempt to build streaming analytics pipelines?

Kafka 88

Kafka Manufacturing Data Lake SQL 88

AltexSoft

SEPTEMBER 23, 2021

The main purpose of a DW is to enable analytics: It is designed to source raw historical data, apply transformations, and store it in a structured format. This type of storage is a standard part of any business intelligence (BI) system, an analytical interface where users can query data to make business decisions.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Cloudera

DECEMBER 7, 2017

Now we are releasing the reference architecture for you build your own self-managed SDX foundation for all your cloud-based data and analytics applications. Cloud data that is already curated with business context, not needing IT to rebuild schemas or business definitions.

Building 40

Building Management Government BI 40

Rockset

MAY 17, 2022

Complex SQL queries have long been commonplace in business intelligence (BI). Or a market news provider that needs to monitor and ensure that its financial customers are getting accurate, relevant updates within the narrow windows for profitable trades.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Knowledge Hut

JUNE 26, 2023

Business intelligence solutions like as Power BI, Tableau, and Looker may assist companies in mitigating operational risk and achieving maximum efficiency in terms of operations enablement by assisting businesses in making choices that are supported by data.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

AltexSoft

OCTOBER 21, 2022

A subscriber is a receiving program such as an end-user app or business intelligence tool. Hadoop fits heavy, not time-critical analytics applications that generate insights for long-term planning and strategic decisions. Kafka is more about building services that power daily business operations. Kafka vs ETL.

Kafka 93

Kafka Hadoop ETL Tools Java 93

Cloudera

MAY 16, 2018

Arcadia Data partners with Cloudera to realize their shared vision of enabling subject matter experts to gain business insight from modern data platforms.

Data Lake 42

Data Lake Electronics Media Unstructured Data 42

Rockset

FEBRUARY 9, 2021

Because it integrates easily with S3, is serverless, and uses a familiar language, Athena has become the default service for most business intelligence (BI) decision makers to query the large amounts of (usually streaming) data coming into their object stores. This is definitely not a good user experience.

Data Lake 40

Data Lake Business Intelligence SQL BI 40

ProjectPro

MAY 20, 2015

Fred Shilmover, CEO of InsightSquared says- "It's an exciting time to be in the big data analytics space pointing to recent developments such as Tableau Software's highly successful IPO and a $125 million funding round for Domo. We do not service the pizza shop at the end of street.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

Big Data 52

Big Data Data Process Process Hadoop 52

phData: Data Engineering

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications. It should also enable easy sharing of insights across the organization.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52