AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

APRIL 28, 2022

Most data pros know Snowflake’s pricing model is consumption based–you pay for what you use. What many don’t know is Snowflake actually WANTS you to optimize your costs and has provided helpful features to rightsize your consumption. Waste isn’t good for anyone. you were trying to save.

Data Warehouse 52

Data Warehouse Bytes SQL AWS 52

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

Snowflake

JANUARY 29, 2024

Imagine seamlessly integrating your Google Analytics data with Snowflake, allowing you to combine it effortlessly with other key sources like CRM, ERP, social media metrics, email campaign data, and whatever data sources compose the full scope of your data estate.

Raw Data 111

Raw Data Aggregated Data Data Government 111

Knowledge Hut

DECEMBER 27, 2023

In the early 1800s, as the field of statistics expanded, it included collecting and analyzing data. But it saw the first problem with the overwhelming amount of data. Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Cloudera

NOVEMBER 25, 2021

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. Cloudera and AWS: Harnessing the Power of Data and Cloud .

Amazon Web Services 89

Amazon Web Services Cloud AWS Healthcare 89

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? To help her, Banon developed a search engine for her recipe collection. What is Elasticsearch?

Engineering 52

Engineering NoSQL Programming Language Java 52

Monte Carlo

FEBRUARY 8, 2024

Data observability has been one of the hottest emerging data engineering technologies the last several years. This momentum shows no signs of stopping with data quality and reliability becoming a central topic in the data product and AI conversations taking place across organizations of all types and sizes.

BI 59

BI Data Pipeline Data Warehouse Data 59

Cloudera

JANUARY 21, 2021

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? When you go to Central IT for support, are you blocked by insanely long wait times for the resources needed to meet your business goals? But – you need those mission critical analytics services, and you need them now! .

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

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? What is Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

phData: Data Engineering

JANUARY 3, 2022

What is Data Engineering? Everything You Need to Know in 2022 Nick Goble January 4, 2022 It’s easy to overlook the amount of data that’s being generated every day — from your smartphone, your Zoom calls, to your Wi-Fi-connected dishwasher. How Does Data Governance Differ From Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Ascend.io

MAY 18, 2023

The “modern data stack” is supposed to be like assembling a squad of data software superheroes. You connect that to a top-of-the-line data transformation platform. And then, you use best-in-class orchestration, observability, and reverse ETL vendors to monitor and move your data.

Data Warehouse 52

Data Warehouse Data Pipeline Data Lake Data Engineering 52

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. Table of Contents How Impactful is Your Data?

IT 52

IT AWS Software Engineer Software Engineering 52

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. Hint: it’s not a one-size-fits-all answer, but answering a few critical questions can help. Let’s jump in!

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

ProjectPro

DECEMBER 10, 2021

It will provide you with a good sense of what areas you should focus on as you prepare for your next Azure interview. What makes Azure better than AWS? What do you understand about cloud computing? Can you tell something about Azure Cloud Service? What are the various models available for cloud deployment?

BI 52

BI Cloud Computing SQL Database 52

AltexSoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka? What Kafka is used for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

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

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. How do we transform this data to get valuable insights from it?

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

Towards Data Science

AUGUST 10, 2023

Experts from venture capital, Snowflake, and more discuss how generative AI will benefit data teams and the challenges they must solve. Change is coming, but what will the impacts be for how organizations approach data and what hurdles still need to be overcome? Image courtesy of the author.

IT 82

IT Unstructured Data SQL BI 82

Monte Carlo

JANUARY 18, 2023

Leveraging new data sources is a big part of scaling data adoption. But becoming a data-first organization is about more than just ingesting new data. The real challenge is what you do with all that data once you have it. And once you have it, how do you trust it? Central to this mission?

Cloud 52

Cloud Metadata SQL Banking 52

Monte Carlo

AUGUST 9, 2023

Still, generating a recipe for lasagna is an entirely different process than infusing generative AI capabilities across a business or integrating large language models (LLMs) into data engineering workflows. Change is coming, but what will the impacts be for how organizations approach data and what hurdles still need to be overcome?

IT 52

IT Unstructured Data SQL BI 52

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Knowledge Hut

JANUARY 2, 2024

By delving into their details, we gain insights into the complex, yet fascinating world of coding. What is a Programming Lan guage? Benefits of Learning Programming Languages Logical Thinking: Coding cultivates a structured and logical thought process, enhancing analytical skills.

Programming Language 52

Programming Language Programming Java NoSQL 52

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. A comprehensive data platform solution powers data acquisition, storage, preparation, delivery, governance, and even the robust security needs of users and applications.

Building 52

Building BI Data Lake Data Governance 52

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59