Edureka

SEPTEMBER 11, 2023

Businesses have more data than ever, including how customers interact with them and what they do on social media, as well as how much inventory they have and how much money they make. In this situation, Business Intelligence (BI) platforms become an important way to make sense of all this data.

Business Intelligence 52

Business Intelligence BI Database-centric Raw Data 52

Edureka

FEBRUARY 27, 2023

Business Intelligence Trends: Business intelligence (BI) is becoming an ever more critical element in the success of a business. We’ll also look into ways that businesses can successfully incorporate BI into their practices to gain competitive advantages. What is Business Intelligence?

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

Monte Carlo

FEBRUARY 6, 2023

So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. On the other hand, a data warehouse contains historical data that has been cleaned and arranged. . What is Data Warehouse? . Data Warehouse in DBMS: .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 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

Data Engineering Podcast

FEBRUARY 5, 2023

Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Data Engineering Podcast

JUNE 11, 2021

Now they offer the technologies that they run internally to external users of their cloud platform. In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems. The data you’re looking for is already in your data warehouse and BI tools.

Google Cloud 100

Google Cloud Cloud Big Data Ecosystem BI 100

Cloud Academy

JUNE 7, 2022

How Do We Transform and Model Data at Cloud Academy? “Data is the new gold”: a common phrase over the last few years. For all organizations, data and information have become crucial to making good decisions for the future and having a clear understanding of how they’re making progress — or otherwise.

Cloud 52

Cloud Data Warehouse Raw Data Business Intelligence 52

Cloud Academy

NOVEMBER 6, 2022

At Cloud Academy , we manage a lot of data every day. We have different sources we get data from such as feedback, events, and platform usage, and we need to get it, apply transformations, and finally present the data to our internal stakeholders and our customers. This is the responsibility of the BI tool.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

Advancing Analytics: Data Engineering

JULY 2, 2019

It’s not always the most accurate indicator, but a quick glance at google trends sees Data Engineer rocketing in popularity, compared to more traditional functions such as BI and ETL Developer: google trends Now, that’s not saying that the other roles are going away, not by a long stretch.

Business Intelligence 52

Business Intelligence Data Engineering Data Engineer Engineering 52

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.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Data Engineering Podcast

JANUARY 15, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Truly leveraging and benefiting from streaming data is hard - the data stack is costly, difficult to use and still has limitations.

Coding 130

Coding Building PostgreSQL Data Lake 130

Data Engineering Podcast

JANUARY 8, 2023

Truly leveraging and benefiting from streaming data is hard - the data stack is costly, difficult to use and still has limitations. Materialize breaks down those barriers with a true cloud-native streaming database - not simply a database that connects to streaming systems. Missing data? Stale dashboards?

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

Data Engineering Podcast

SEPTEMBER 29, 2021

There have been many attempts to harness all of the data that you generate for gaining useful insights about yourself, but they are generally difficult to set up and manage or require software development experience. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Cloud 100

Cloud Data Lake Business Intelligence Data 100

Data Engineering Podcast

DECEMBER 18, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

DECEMBER 29, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Management 130

Management Metadata Business Intelligence Data Lake 130

phData: Data Engineering

DECEMBER 20, 2022

Congratulations—at last, you’ve finished your cloud data migration and it feels as if you just bought a brand new car! Hopefully, your cutting-edge cloud data warehouse comes with the latest and greatest safety features, too. Why Do Businesses Invest in Cloud Data Migrations?

Cloud 52

Cloud Database-centric Data Warehouse Data 52

Data Engineering Weekly

APRIL 14, 2024

Discover how a universal semantic layer is transforming modern business intelligence, making data more accessible and reliable for organizations striving for informed business decisions. Every survey demonstrates an increase in productivity in software development with copilot-type tools.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Striim

APRIL 30, 2024

Challenges Kramp Was Facing Kramp began a significant transformation of its data management systems with a goal to shift their existing data warehouse to a cloud-based infrastructure on the Google Cloud Platform.

Google Cloud 52

Google Cloud High Quality Data Business Intelligence Data Warehouse 52

RandomTrees

NOVEMBER 29, 2023

Here the practice of data warehousing and warehouse system is very important and the use of right modelling techniques has become a very important factor in todays’ competitive world. In this choice, Big Data will play an important role and its choice is also inevitably crucial in the Business Intelligence and related systems.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

Data Engineering Podcast

NOVEMBER 4, 2021

Summary The precursor to widespread adoption of cloud data warehouses was the creation of customer data platforms. Acting as a centralized repository of information about how your customers interact with your organization they drove a wave of analytics about how to improve products based on actual usage data.

Data Warehouse 100

Data Warehouse Business Intelligence ETL System Data Lake 100

Data Engineering Podcast

APRIL 26, 2021

Summary The reason for collecting, cleaning, and organizing data is to make it usable by the organization. One of the most common and widely used methods of access is through a business intelligence dashboard. RudderStack’s smart customer data pipeline is warehouse-first.

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Advancing Analytics: Data Engineering

JUNE 21, 2019

Ah the ETL (Extract-Transform-Load) Window, the schedule by which the Business Intelligence developer sets their clock, the nail-biting nightly period during which the on-call support hopes their phone won’t ring. It’s a cornerstone of the data warehousing approach… and we shouldn’t have one. There, I said it. Till next time.

Data Warehouse 52

Data Warehouse Business Intelligence Data Data Validation 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer in the Data Science team is responsible for this sort of data manipulation. Big Data is a part of this umbrella term, which encompasses Data Warehousing and Business Intelligence as well. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

Knowledge Hut

JANUARY 24, 2024

Power BI takes advantage of Microsoft's business analytics. The business intelligence market has multiplied in recent years and is anticipated to do so going forward. You should be data-driven if you want to pursue your career in Business Intelligence, Analytics, or Data Science.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Towards Data Science

NOVEMBER 4, 2023

I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). Does your DE work well enough to fuel advanced data pipelines and Business intelligence (BI)? Are your data pipelines efficient? Often it is a data warehouse solution (DWH) in the central part of our infrastructure.

Data Engineering 87

Data Engineering Data Engineer Engineering BI 87

Cloudera

OCTOBER 4, 2023

Ability to handle complex analytic queries — especially when we’re using real-time analytics to augment existing business dashboards and reports with large, complex, long-running business intelligence queries typical for those use cases, and not having the real-time dimension slow these down in any way. Kudu has this covered.

Telecommunication 83

Telecommunication Data Warehouse Java Manufacturing 83

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Viele Unternehmen sind gerade auf dem Weg zum Data-Driven Business, einer Unternehmensführung, die für ihre Entscheidungen auf transparente Datengrundlagen setzt und unter Einsatz von Business Intelligence, Data Science sowie der Automatisierung mit Deep Learning und RPA operative Prozesse so weit wie möglich automatisiert.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Striim

NOVEMBER 15, 2023

Through Striim’s breakthrough of AI-ready data streaming, we’re ushering in a new era of analytics and AI, all harmonized under a single data platform on Microsoft Azure. All of these services are served by OneLake, a unified intelligent storage layer that solves the complex problem of decentralized data teams working in silos.

Retail 52

Retail BI Data Warehouse Data Lake 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

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

Data Engineering Podcast

DECEMBER 19, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Hightouch is the easiest way to sync data into the platforms that your business teams rely on.

Systems 100

Systems Building Metadata Data Warehouse 100

Monte Carlo

JANUARY 23, 2024

I sat down with Maxime to discuss the current state of affairs, including the decentralization of the modern data stack, the fragmentation of the data team, the rise of the cloud, and how all these factors have changed the role of the data engineer forever. On the flipside, costs are more constrained. “It

Data Engineering 98

Data Engineering Data Engineer Engineering Data 98

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 84

Building Business Intelligence BI Cloud Storage 84

Snowflake

SEPTEMBER 7, 2023

The university needed to modernize its data capabilities to better serve staff, students and researchers—and it used the Snowflake Data Cloud to do it. Siloed departmental data with no single source of truth Without a single source of truth, version control and data management were complicated.

Education 83

Education Business Intelligence Professional Services Cloud 83

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