AltexSoft

AUGUST 29, 2023

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. What is a data lake? A data lake allows to store data before a specific use case has been identified.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JANUARY 24, 2024

Data Sources Tableau Software can access many data sources and servers. Machine Learning Tableau supports Python machine learning features. Machine Learning Tableau supports Python machine learning features. We are talking about tableau vs power bi market share using features, interfaces and performance.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash.

Kafka 21

Kafka BI SQL Datasets 21

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job?

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

SEPTEMBER 19, 2022

Power BI learn versions like Desktop, SaaS, and mobile Power BI applications are used for many platforms. Power BI can do real-time analysis by connecting directly to information sources. Power BI can link to other services, including SQL Server Analysis Services (SSAS), Microsoft Excel, and more. What Is Power BI?

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

JANUARY 31, 2022

RedShift Snowflake vs. BigQuery Snowflake vs. Databricks Snowflake Projects for Practice in 2022 Dive Deeper Into The Snowflake Architecture FAQs on Snowflake Architecture Snowflake Overview and Architecture With Data Explosion, acquiring, processing, and storing large or complicated datasets appears more challenging.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

AltexSoft

OCTOBER 21, 2022

We ‘photoshop pictures’ instead of editing them on the computer. And COVID-19 made ‘zoom’ a synonym for a videoconference. Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. Practically, nothing.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? Table of Contents Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. It is among the top skills that people want to upgrade. It is more than a better time than any other to get into the domain of cloud computing. What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Towards Data Science

JULY 24, 2023

Of course, instead of life partners, engineers were starting to gleefully decouple storage and compute with emerging technologies like Snowflake (2012), Databricks (2013), and BigQuery (2010). A loud few have made headlines with a “cloud is expensive let’s go back to our server racks” movement. Read on to see where that might be.

Metadata 97

Metadata Data Warehouse Data Lake Data Science 97

ProjectPro

SEPTEMBER 6, 2021

Google Cloud platform offers more than 100 services, including cloud computing, storage, machine learning, resource monitoring and management, networking, and application development. Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service. Although the concept of managed services is fairly common in databases (e.g., How do you spot a true fully managed service for Apache Kafka?

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio.

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

JULY 18, 2023

Of course, instead of life partners, engineers were starting to gleefully decouple storage and compute with emerging technologies like Snowflake (2012), Databricks (2013), and BigQuery (2010). This had amazing advantages from both a cost and scale perspective compared to on-premises databases.

Metadata 52

Metadata Data Warehouse Data Lake Government 52

Monte Carlo

JULY 18, 2023

Of course, instead of life partners, engineers were starting to gleefully decouple storage and compute with emerging technologies like Snowflake (2012), Databricks (2013), and BigQuery (2010). This had amazing advantages from both a cost and scale perspective compared to on-premises databases.

Metadata 40

Metadata Data Warehouse Data Lake Government 40

Monte Carlo

AUGUST 19, 2023

A data platform, often referred to as a ‘modern data stack,’ is the central processing hub for an organization’s data ecosystem. The data platform manages the collection, normalization, transformation, and application of data for a given data product—from business insights and dashboards to ML and AI engineering. It depends.

Building 52

Building BI Data Lake Data Governance 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. As a result, the below list is filled with clear and specific examples. Keep Customers Happy 26.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. As a result, the below list is filled with clear and specific examples. Keep Customers Happy 26.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52