ProjectPro

FEBRUARY 21, 2023

AWS or Azure? There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Professional certifications can offer data engineers a competitive advantage and help them build or advance their careers. Cloudera or Databricks?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

DECEMBER 14, 2020

In this episode Andrew Gross, Bobby Muldoon, and Anup Segu describe the self service data platform that they have built to allow data analysts to own the end-to-end delivery of data projects and how that has allowed them to scale their output. Go to dataengineeringpodcast.com/97things to add your voice and share your hard-earned expertise.

Data Analytics 100

Data Analytics Building MySQL Data 100

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Table of Contents What is AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

AUGUST 18, 2023

In my early career, I knew that getting certified in AWS would be essential for success. Now that I have obtained multiple AWS certifications, I can vouch for their value to professionals & companies alike. With cloud computing becoming the new norm in today's marketplace, AWS certifications are nothing short of essential.

AWS 52

AWS Certification Amazon Web Services Cloud 52

Towards Data Science

APRIL 6, 2023

Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. But, instead of GCP, we’ll be using AWS. Glue is a simple serverless ETL solution in AWS.

AWS 79

AWS Data Pipeline Amazon Web Services Python 79

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. It involves building pipelines that can fetch data from the source, transform it into a usable form, and analyze variables present in the data. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MAY 8, 2023

Technical Architect roles and responsibilities include collaborating with enterprise architects and other IT professionals to offer technical solutions while overseeing huge teams of developers and IT specialists. They may be considered technical project managers who analyze apps and their design requirements to develop best practices.

Consulting 52

Consulting Architecture Programming Language SQL 52

Knowledge Hut

JUNE 30, 2023

To help you use these services efficiently, Google Cloud has introduced a number of certifications to prepare for these courses, and you can check out Cloud Computing courses to know more. You may get access to the newest technologies and platforms by using Google Cloud. Top Google Cloud Career Options in 2023 1.

Google Cloud 52

Google Cloud Cloud Cloud Computing Certification 52

ProjectPro

JUNE 13, 2018

AWS certifications are the most in-demand cloud computing certifications in the IT industry today, with an overwhelming growth in cloud computing. So, for those looking for a career in Amazon Web Services, this blog lists the best AWS certifications available today, including the cost, duration, and topics covered in each certification exam.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

ProjectPro

SEPTEMBER 6, 2021

Most of these individuals attempt to land a job in data science or analytics. An MLOps engineer brings machine learning models from test to production using software engineering and data science skills. However, most data scientists are unable to put the models they build into production. What is the role of an MLOps engineer?

Engineering 52

Engineering Machine Learning Data Science Algorithm 52

ProjectPro

JULY 15, 2021

As per a survey, over 90% of the respondents use cloud services and platforms to carry out their business operations. Practicing diverse real-world hands-on cloud computing projects is the only way to master related cloud skills if you want to land a top gig as a cloud expert. The global cloud computing market is poised to grow $287.03

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

FEBRUARY 11, 2023

In any case, their essential capability is making programs that make this conceivable. These organizations construct the valuable projects that shoppers and organizations utilize consistently. In any case, their essential capability is making programs that make this conceivable. The average Buuuk salary is SGD 75,000 PA.

Consulting 59

Consulting Programming Software Engineer Software Engineering 59

Monte Carlo

APRIL 28, 2022

Most data pros know Snowflake’s pricing model is consumption based–you pay for what you use. Instead of spinning cycles on deteriorated SQL queries, the data cloud provider would rather have you focus those Snowflake credits toward projects like building data apps. Example Snowflake pricing in the AWS – US East region.

Data Warehouse 52

Data Warehouse Bytes SQL AWS 52

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Table of Contents How working on Hadoop projects will help professionals in the long run?

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Specialized Data Analytics 7.Streaming

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

FEBRUARY 8, 2023

AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Well, AWS Glue is the answer to your problems! Table of Contents What is AWS Glue? How Does AWS Glue Work?

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AWS Scala Metadata Data Lake 98

ProjectPro

FEBRUARY 18, 2022

The big data analytics market is expected to grow at a CAGR of 13.2 This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Let us now understand why the ETL pipelines hold such great value in Data Science and Analytics.

Project 52

Project AWS Kafka Healthcare 52

ProjectPro

JUNE 16, 2022

An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. It enables flow from a data lake to an analytics database or an application to a data warehouse. They also use the pipeline to transfer it to various Amazon Web Services for analysis, such as Amazon DynamoDB, Amazon RDS, etc.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Knowledge Hut

FEBRUARY 6, 2024

They are: Let us discuss each category in detail. AIOps/Analytics In the previous version of the DevOps periodic table, AIOps and Analytics were two distinct categories. Big data analytics , machine learning, and other AI frameworks and technologies are together referred to as Artificial Intelligence Operations or AIOps.

Pipeline-centric 52

Pipeline-centric Database-centric AWS Manufacturing 52

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 recruiters look for real-world project experience and shortlist the resumes based on hands-on experience working on data engineering projects.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

NOVEMBER 20, 2023

Organizations use these tools to monitor their applications, servers, networks, databases, etc. DevOps Monitoring tools are known to be very useful in many organizations that have DevOps practices. Both DevOps teams, as well as IT operations teams, use these tools. These logs are then analyzed for any errors or anomalies.

Amazon Web Services 52

Amazon Web Services Java AWS Cloud 52

Knowledge Hut

SEPTEMBER 29, 2023

AWS, or Amazon Web Services, need no formal introduction given its enormous popularity. It enables us developers to access more than 170 AWS services from anywhere at any time. An "AWS mind map" is a visual representation or diagram that organizes and depicts the core ideas, services, and components of Amazon Web Services (AWS).

AWS 52

AWS Amazon Web Services Cloud Storage Relational Database 52

ProjectPro

JANUARY 24, 2023

A survey by O’Reilly in 2020 found that Amazon Sagemaker is the second most used machine learning platform after Tensorflow. One interesting example of Amazon SageMaker's production-level use is by the company DeepVision. One interesting example of Amazon SageMaker's production-level use is by the company DeepVision.

Building 52

Building Algorithm Machine Learning AWS 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

SEPTEMBER 16, 2021

87% of Data Science Projects never make it to production - VentureBeat According to an analytics firm, Cognilytica, the MLOps market is anticipated to be worth $4 billion by end of 2025. Data Science has flourished over the decade on the promise that organizations will leverage analytics for profitable business decision-making.

Project 52

Project Amazon Web Services Machine Learning Data Science 52

Netflix Tech

APRIL 29, 2019

By Pythonistas at Netflix, coordinated by Amjith Ramanujam and edited by Ellen Livengood As many of us prepare to go to PyCon, we wanted to share a sampling of how Python is used at Netflix. We use and contribute to many open-source Python packages, some of which are mentioned below. are you logged in?

Python 111

Python Amazon Web Services Machine Learning Algorithm 111

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. DataOps.Live: Pulling It All Together In Summary How Impactful is Your Data?

IT 52

IT AWS Software Engineer Software Engineering 52

Knowledge Hut

NOVEMBER 19, 2023

Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms. Data Quality: Azure Data Engineer Tools offer data transformation and cleansing capabilities, improving data quality and accuracy for downstream analytics and reporting.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Cloudera

AUGUST 11, 2021

Point solutions are still used every day in many enterprise systems, but as IT continues to evolve, the platform approach beats point solutions in almost every use case. Platforms help businesses to develop end-to-end solutions that work for their specific needs and change with them.

Cloud 119

Cloud Big Data Government Cloud Computing 119

Knowledge Hut

APRIL 19, 2023

An ETL pipeline is one of the most common solutions for the efficient processing of large data. ETL is used to integrate data from different sources and formats into a single target for analysis. Building an ETL pipeline is a set of steps taken in a specific order to move data from one location to another.

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

AltexSoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Engineering 52

Engineering NoSQL Programming Language Java 52

Confluent

JULY 10, 2019

The repository’s README contains a bit more detail, but in a nutshell, we check out the repo and then use Gradle to initiate docker-compose : git clone [link] cd kafka-examples git checkout confluent-blog. In our case, we needed to encapsulate a series of string manipulation patterns that were consistent across many of our pipelines.

Kafka 87

Kafka Java Bytes SQL 87

ProjectPro

JULY 30, 2021

Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies. Software and applications are used on a subscription basis. What are some popular use cases for cloud computing? What are the platforms that use Cloud Computing? What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Monte Carlo

FEBRUARY 8, 2024

In this post, we will share analyst reports and the core evaluation criteria we see organizations use when ranking data observability solutions. If a solution does not have features covering these five pillars then it cannot be considered a data observability tool. We’ll also provide a sample RFP template.

BI 59

BI Data Pipeline Data Warehouse Data 59

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. Such tools help in releasing analytics projects faster.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45