Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. Ramsey International Modern Data Platform Architecture. What is a data mesh?

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Knowledge Hut

APRIL 12, 2023

Microsoft Azure is a powerful cloud computing platform that has become quite popular in recent years. Azure provides organizations with the tools and services needed to build, deploy, and manage applications and services on the cloud. What is Cloud Computing? over the internet. What is Microsoft Azure in Simple Terms?

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Central to this transformation are two shifts. Let’s take a closer look.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

NOVEMBER 30, 2021

The amount of data created is enormous, and with this pandemic forcing us to stay indoors, we are spending a lot of time over the internet generating massive amounts of data - In 2020, we created 1.7 MB of data every second. By 2025, 200+ zettabytes of data will be in cloud storage around the globe.

Data Mining 52

Data Mining Machine Learning Data Science Algorithm 52

Cloudera

OCTOBER 26, 2020

Cloudera and Dell/EMC are continuing our long and successful partnership of developing shared storage solutions for analytic workloads running in hybrid cloud. . Since the inception of Cloudera Data Platform (CDP), Dell / EMC PowerScale and ECS have been highly requested solutions to be certified by Cloudera. Ranger 2.0.

Certification 84

Certification Cloud Kafka Unstructured Data 84

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Tweag

APRIL 19, 2023

The MedTech industry is buzzing thanks to a continuous stream of innovation, promising to be more precise, efficient and accessible than ever. Thankfully, cloud-based infrastructure is now an established solution which can help do this in a cost-effective way. One such implementation, adlfs , works for Azure Blob Storage.

Medical 60

Medical Process Cloud Bytes 60

Monte Carlo

AUGUST 25, 2023

Modern companies are ingesting, storing, transforming, and leveraging more data to drive more decision-making than ever before. At the same time, 81% of IT leaders say their C-suite has mandated no additional spending or a reduction of cloud costs. For metadata organization, they often use Hive, Amazon Glue, or Databricks.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

ProjectPro

AUGUST 11, 2021

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. The RDBMS can either be directly accessed from the data warehouse layer or stored in data marts designed for specific enterprise departments.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Monte Carlo

FEBRUARY 15, 2023

Since the inception of the cloud, there has been a massive push to store any and all data. On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Cloud data warehouses solve these problems.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 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

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Ascend.io

DECEMBER 14, 2022

Today, a good part of the job of a data engineer is to move data from one place to another by creating pipelines that can be either ETL vs. ELT. However, with the advent of cloud-based infrastructure, ETL is changing towards ELT. Traditional ETL is effective if you are still on-premises and your data is small and predictable.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 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

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

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

Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. What is Big Data? Types of Big Data 1. Then computers started doing the same.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Meltano

OCTOBER 5, 2022

Data engineering is the process of designing systems for collecting, storing, and analyzing large volumes of data. Put simply, it is the process of making raw data usable and accessible to data scientists, business analysts, and other team members who rely on data. Why Is Data Engineering Important?

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

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

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

JULY 29, 2022

A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Today, companies have the opportunity to run Big Data analytics on Hadoop without investing in hardware. Python and R are essential for data analysts; and.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

NOVEMBER 30, 2021

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52

Process Data Pipeline Data Warehouse AWS 52

U-Next

SEPTEMBER 12, 2022

The fields like Data Science, Data Analytics, Cloud computing, and the internet of things (IoT) have seen a boost in productivity. . . What Is Cloud Computing? . Cloud computing integrates computation, storage, and network infrastructure as a platform that allows for speedy application deployment and dynamic scaling.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Banking 52

Precisely

FEBRUARY 9, 2024

To make data AI-ready and maximize the potential of AI-based solutions, organizations will need to focus in the following areas in 2024: Access to all relevant data: When data is siloed, as data on mainframes or other core business platforms can often be, AI results are at risk of bias and hallucination.

Data Integration 69

Data Integration Government Metadata Data 69

ProjectPro

MAY 31, 2021

To create a successful data project, collect and integrate data from as many different sources as possible. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

JULY 19, 2023

Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Data transformation Okay, so your data needs to live in the cloud.

Building 96

Building Business Intelligence Cloud Storage BI 96

Monte Carlo

JANUARY 27, 2024

Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Data transformation Okay, so your data needs to live in the cloud.

Building 52

Building Business Intelligence Cloud Storage BI 52

Monte Carlo

AUGUST 19, 2023

Frequently Asked Questions What is a data platform? To make things a little easier, I’ve outlined the six must-have layers you need to include in your data platform and the order in which many of the best teams choose to implement them. It depends.

Building 52

Building BI Data Lake Data Governance 52

Towards Data Science

JULY 21, 2023

Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Data transformation Okay, so your data needs to live in the cloud.

Building 83

Building Business Intelligence BI Cloud Storage 83

Knowledge Hut

FEBRUARY 28, 2024

In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. What is Big Data? Big data refers to large amounts of data. The differentiation between data and big data becomes clear once we look at the methods of analyzing them.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Delta Lake integrations.

Scala 64

Scala Data Lake BI Google Cloud 64