Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems. So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

Big Data 73

Big Data Data Data Storage SQL 73

Snowflake

JULY 10, 2023

With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally. Mike Tuck, Air Pollution Specialist Why unstructured data?

Unstructured Data 40

Unstructured Data Python Process Scala 40

Rockset

JULY 29, 2022

This consistency promotes data integrity, so you can trust the insights to make informed decisions. Additionally, data warehouses are great at offering historical intelligence. However, organizations today are moving beyond just batch analytics on historical data. So, it’s not real-time data. Pricing starts at $0.25

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

RandomTrees

SEPTEMBER 6, 2020

Snowflake Overview A data warehouse is a critical part of any business organization. Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS).

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse. Data Visualization Graphic representation of a set or sets of data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. How can the Cloud Help?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

SEPTEMBER 26, 2023

Microsoft Azure, also known as Azure, is a well-known cloud computing service offered by Microsoft. It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

APRIL 25, 2024

Information Technology uses computer systems or devices to access information. This system is responsible for a large portion of any workforce, business operation, and other personal access information comprising an individual's daily activities. It helps in storing the data in the CPU. What is Information Technology?

Technology 52

Technology Recruitment Media Cloud Computing 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Migration 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Monte Carlo

AUGUST 25, 2023

At the same time, 81% of IT leaders say their C-suite has mandated no additional spending or a reduction of cloud costs. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. But, the options for data storage are evolving quickly. Let’s dive in.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

NOVEMBER 17, 2023

Today, data is everything, and every technology runs around managing, storing, accessing, and processing this data. After the introduction of cloud computing, the need for managing expanding data is getting more critical. Today, companies are migrating to the cloud or expanding their cloud subscription.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Knowledge Hut

MARCH 27, 2024

Let's check some of the best big data analytics tools and free big data analytics tools. 14 Most Popular Big Data Analytics Tools Open-source big data analytics tools are intended to be publicly accessible and are typically managed and maintained by organizations with a specific mission.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineers Jobs – The Demand Azure Data Engineer Skills What does an Azure Data Engineer Do? Who is an Azure Data Engineer? Data is an organization’s most valuable asset, so making sure it can be accessed quickly and securely should be a top priority.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

Database 52

Database NoSQL Management Relational Database 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Monte Carlo

JUNE 14, 2023

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). Data could now be extracted and loaded prior to being transformed for its ultimate use.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Knowledge Hut

DECEMBER 29, 2023

Snowflake This tool is the best option for companies who wish to switch to a cloud-based solution. The highlight feature of this platform is its potential to integrate semi-structured and structured data without using any third-party tools. Power BI It is one of the leading tools used by data engineers.

Data Engineering 40

Data Engineering Data Engineer Engineering BI 40

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. They provide a method for storing information in an organized manner that ensures it remains accessible while providing the mechanisms to protect the integrity, confidentiality, and availability of the information they hold.

Database 52

Database NoSQL Relational Database Data Storage 52

Rockset

DECEMBER 31, 2022

Instead, databases such as DynamoDB have been designed to manage the new influx of data. DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. You want to easily apply access control to the right people without creating bottlenecks in other people’s workflow.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore).

Big Data 78

Big Data Data Management Management Metadata 78

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value. Enter Snowpark !

Engineering 82

Engineering Raw Data Data Science Scala 82

Monte Carlo

JANUARY 25, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. Data storage and compute are very much the foundation of your data platform. Let’s jump in!

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

AltexSoft

AUGUST 4, 2021

Some sweets are presented on your display cases for quick access while the rest is kept in the storeroom. Now let’s think of sweets as the data required for your company’s daily operations. Initially, DWs dealt with structured data presented in tabular forms. Data mart designing.

Data Lake 64

Data Lake Data Warehouse ETL Tools Telecommunication 64

Edureka

FEBRUARY 7, 2023

To help you get a head start on your preparation, I’ve compiled a list of the Top 30+ Azure Data Engineer Interview Questions. Microsoft Azure is one of the most popular and rapidly expanding cloud service providers. When it comes to professionals, data engineers are the most in-demand in the IT industry.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

DECEMBER 26, 2023

The spectrum of sources from which data is collected for the study in Data Science is broad. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data. The average salary of a Data Engineer in Amazon is $109,000.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. How HDFS master-slave structure works. Python and R are essential for data analysts; and.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

MARCH 2, 2023

Data quality involves storing data in its correct and consistent form. Here’s a deep dive into data quality management and tools. Data availability is responsible for making data accessible to appropriate personnel within the system. Why opt for data governance? Access and documentation.

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 86

Systems Hadoop Metadata Telecommunication 86

ProjectPro

JANUARY 24, 2023

With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Cloud data warehouses offer significant benefits to organizations, including faster real-time insights, higher scalability, and lower overhead expenses.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

AltexSoft

JUNE 26, 2023

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Dive deeper into the subject by reading our article Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

SEPTEMBER 10, 2021

These systems can be hosted on-premises, in the cloud, and on IoT devices, etc. Logically, each system stores information differently: in the structured, unstructured, and semi-structured formats. This is something known as the “data silo problem,” meaning no team or department has a unified view of data.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

ProjectPro

DECEMBER 10, 2021

What do you understand about cloud computing? Can you tell something about Azure Cloud Service? What are the various models available for cloud deployment? How many cloud service roles are provided by Azure? Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role!

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. Following these statistics, big data is set to get bigger with the evolution of open-source projects.

Big Data 52

Big Data Project Metadata Programming Language 52