This eBook explores the challenges of legacy data pipelines and the advantages of adopting streaming pipelines. Read the "Top 3 Use Cases for Streaming Data Pipelines" eBook to: Understand how traditional data pipelines (think ETL an…
The automotive industry is in the midst of a historic digital transformation. Consider that today’s vehicles are computers on wheels that increasingly drive themselves. Customers who used to shop exclusively in the showroom can complete transacti…
The automotive industry is in the midst of a historic digital transformation. Consider that today’s vehicles are computers on wheels that increasingly drive themselves. Customers who used to shop exclusively in the showroom can complete transacti…
In the past, scalability with relational databases was achieved via complex and incomplete workarounds, such as sharding or costly hardware — and non-relational approaches sacrificed data consistency to achieve scalability. Now, there’s dis…
Since 2019, every release of Veeam’s® Modern Data Protection platform has delivered significant cyber resiliency and secure ransomware protection capabilities, helping organizations reliably recover from any cyberattack in minutes. These b…
Every minute of downtime can mean thousands of dollars in lost business. When ransomware hits, paying the ransom can be tempting, but it isn’t the quick fix organizations are hoping for. Instead, enterprises can confidently focus their efforts — …
We polled 280 IT Leaders from organizations of all sizes who had suffered a ransomware attack in 2021. Our survey focused on the impact within their environments, as well as their IT strategies and data protection initiatives moving forward.Reque…
We polled 500 IT Leaders from organizations of all sizes who had suffered a ransomware attack in 2021. Our survey focused on the impact within their environments, as well as their IT strategies and data protection initiatives moving forward…
Votre entreprise dispose de plus de données provenant de sources plus nombreuses que jamais. Pourtant, faute d’informations fiables, vous ne pourrez pas anticiper les besoins de vos clients et tirer parti des tendances, mais vous ne pa…
今日、企業が利用するデータの量とデータソースの数は、かつてないほど増えています。 しかし、信頼できる情報は少なく、顧客ニーズの予測やトレンドの有効活用ができないだけでなく、ビジネス目標の達成も妨げられているのが実情です。 これに対する解決策、それが予測的データインテリジェンスです。ただし、予測的データインテリジェンスを確立するには、信頼できるデータを必要としているユーザーがデータを見つけ、理解し、活用するための手段が必要です。 &nbs…
